Regression analysis of multivariate incomplete failure time data by modeling marginal distributions

Wei, L. J.; Lin, D. Y.; Weissfeld, L.

doi:10.1080/01621459.1989.10478873

Cited by 1,868Statistical Methods and InferenceStatistical Distribution Estimation and ApplicationsProbability and Statistical Research

Regression analysis of multivariate incomplete failure time data by modeling marginal distributions

Wei, L. J., Lin, D. Y., Weissfeld, L.·1989·Journal of the American Statistical Association

DOI 10.1080/01621459.1989.10478873

Open this paper in CoChat — free account

Abstract

Many survival studies record the times to two or more distinct failures on each subject. The failures may be events of different natures or may be repetitions of the same kind of event. In this article, we consider the regression analysis of such multivariate failure time observations. Each marginal distribution of the failure times is formulated by a Cox proportional hazards model. No specific structure of dependence among the distinct failure times on each subject is imposed. The regression parameters in the Cox models are estimated by maximizing the failure-specific partial likelihoods. The resulting estimators are shown to be asymptotically jointly normal with a covariance matrix that can be consistently estimated. Simultaneous inferential procedures are then proposed. Extensive Monte Carlo studies indicate that the normal approximation is adequate for practical use. The new methods allow time-dependent covariates, missing observations, and arbitrary patterns of censorship. They are illustrated with two real-life examples. For recurrent failure time data, various regression methods have been proposed in the literature. These methods, however, generally assume stringent structures of dependence among the recurrences of each subject. Moreover, as shown in the present article, they are rather sensitive to model misspecification.

Integrity signals

Registry

Crossref · 10.1080/01621459.1989.10478873

Cites

31 of 31 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

As pre-specified supportive analyses, the modified Wei-Lin-Weissfeld method (Li and Lagakos modification) was used to calculate hazard ratios for the time to the first, second, or third event.
“As pre-specified supportive analyses, we used the modified Wei-Lin-Weissfeld method (Li and Lagakos modification) to calculate hazard ratios for the time to the first, second, or third event (48,49).”
From Effects of Icosapent Ethyl on Total Ischemic Events (2019) · cites this paper as [48]

Regression Models and Life-Tables
Cox, D. R. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-4380-9_37 · Cited by 26,297 · see citing works
A Simple Sequentially Rejective Multiple Test Procedure
(1979) · Scandinavian Journal of Statistics · doi:10.2307/4615733 · Cited by 21,526 · see citing works
Numerical recipes in C: the art of scientific computing
(1993) · Choice Reviews Online · doi:10.5860/choice.30-5638 · Cited by 17,933 · see citing works
Numerical Recipes, The Art of Scientific Computing
Press, W. H., Flannery, B. P., Teukolsky, S. A., Vetterling, W. T., & Gould, H. (1987) · American Journal of Physics · doi:10.1119/1.14981 · Cited by 10,032 · see citing works
The Statistical Analysis of Failure Time Data.
Aitkin, M. A., Kalbfleisch, J. D., & Prentice, R. L. (1981) · Biometrics · doi:10.2307/2530581 · Cited by 9,875 · see citing works
Numerical Recipes: The Art of Scientific Computing
Ziegel, E. R., Press, W. H., Flannery, B. P., Teukolsky, S. A., & Vetterling, W. T. (1987) · Technometrics · doi:10.2307/1269484 · Cited by 6,704 · see citing works
Analysis of Survival Data
Cox, D. R., & Oakes, D. (2018) · Chapman & Hall/CRC eBooks · doi:10.1201/9781315137438 · Cited by 6,269 · see citing works
Cox’s regression model for counting processes: A large sample study
Andersen, P. K., & Gill, R. D. (1982) · The Annals of Statistics · doi:10.1214/aos/1176345976 · Cited by 4,419 · see citing works
Analysis of Survival Data.
Breslow, N. E., Cox, D. R., & Oakes, D. (1985) · Biometrics · doi:10.2307/2530888 · Cited by 4,382 · see citing works
Journal of the Royal Statistical Society.
(1923) · The Economic Journal · doi:10.1093/ej/33.130.269 · Cited by 3,289 · see citing works
The Robust Inference for the Cox Proportional Hazards Model
Lin, D. Y., & Wei, L. J. (1989) · Journal of the American Statistical Association · doi:10.1080/01621459.1989.10478874 · Cited by 2,655 · see citing works
Self-citation
Partial Likelihood
Cox, D. R. (1975) · Biometrika · doi:10.1093/biomet/62.2.269 · Cited by 2,366 · see citing works
On closed testing procedures with special reference to ordered analysis of variance
Marcus, R., Peritz, E., & Gabriel, K. R. (1976) · Biometrika · doi:10.1093/biomet/63.3.655 · Cited by 1,417 · see citing works
On the regression analysis of multivariate failure time data
Prentice, R., Williams, B., & Peterson, A. V. (1981) · Biometrika · doi:10.1093/biomet/68.2.373 · Cited by 1,362 · see citing works
Bivariate Exponential Distributions
Gumbel, E. J. (1960) · Journal of the American Statistical Association · doi:10.1080/01621459.1960.10483368 · Cited by 1,240 · see citing works
Scandinavian Journal of Statistics
Danish Society for Theoretical Statistics, Tilastoseura, S., & Föreningen, S. (2010) · Scandinavian Journal of Statistics · doi:10.1111/(issn)1467-9469 · Cited by 985 · see citing works
Multivariate Generalizations of the Proportional Hazards Model
Clayton, D., & Cuzick, J. M. (1985) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2981943 · Cited by 631 · see citing works
A class of multivanate failure time distributions
Hougaard, P. (1986) · Biometrika · doi:10.1093/biomet/73.3.671 · Cited by 588 · see citing works
Regression Methods for Poisson Process Data
Lawless, J. F. (1987) · Journal of the American Statistical Association · doi:10.1080/01621459.1987.10478502 · Cited by 353 · see citing works
Two-Sample Asymptotically Distribution-Free Tests for Incomplete Multivariate Observations
Wei, L., & Lachin, J. M. (1984) · Journal of the American Statistical Association · doi:10.1080/01621459.1984.10478093 · Cited by 307 · see citing works
Self-citation
Data: A Collection of Problems from Many Fields for the Student and Research Worker
Ziegel, E. R., Andrews, D. F., & Herzberg, A. M. (1987) · Technometrics · doi:10.2307/1269485 · Cited by 290 · see citing works
Algorithm AS 195: Multivariate Normal Probabilities with Error Bound
Schervish, M. J. (1984) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.2307/2347670 · Cited by 273 · see citing works
Data
Andrews, D. F., & Herzberg, A. M. (1985) · Springer series in statistics · doi:10.1007/978-1-4612-5098-2 · Cited by 265 · see citing works
Bivariate Exponential Distributions
Gumbel, E. J. (1960) · Journal of the American Statistical Association · doi:10.2307/2281591 · Cited by 258 · see citing works
An Analysis of Comparative Carcinogenesis Experiments Based on Multiple Times to Tumor
Gail, M. H., Santner, T. J., & Brown, C. C. (1980) · Biometrics · doi:10.2307/2529977 · Cited by 195 · see citing works
Combining Dependent Tests with Incomplete Repeated Measurements
Wei, L., & Johnson, W. E. (1985) · Biometrika · doi:10.2307/2336088 · Cited by 189 · see citing works
Self-citation
Combining dependent tests with incomplete repeated measurements
Wei, L. J., & JOHNSON, W. E. (1985) · Biometrika · doi:10.1093/biomet/72.2.359 · Cited by 180 · see citing works
Self-citation
A new autoregressive time series model in exponential variables (NEAR(1))
LAWRANCE, A. J., & Lewis, P. (1981) · Advances in Applied Probability · doi:10.2307/1426975 · Cited by 134 · see citing works
The Veterans Administration Study of Chemoprophylaxis for Recurrent Stage I Bladder Tumours: Comparisons of Placebo, Pyridoxine and Topical Thiotepa
Byar, D. P. (1980) · Springer eBooks · doi:10.1007/978-1-4613-3030-1_74 · Cited by 123 · see citing works
Analysing repeated measurements with possibly missing observations by modelling marginal distributions
Wei, L. J., & Stram, D. O. (1988) · Statistics in Medicine · doi:10.1002/sim.4780070115 · Cited by 64 · see citing works
Self-citation
Statistical Methods for the Analysis of HIV-1 Core Polypeptide Antigen Data in Clinical Studies
Makuch, R., & Parks, W. P. (1988) · AIDS Research and Human Retroviruses · doi:10.1089/aid.1988.4.305 · Cited by 8 · see citing works

Flagged first, then by citations

Sorted by citations

Gene Dose of Apolipoprotein E Type 4 Allele and the Risk of Alzheimer's Disease in Late Onset Families
Corder, E. H., Saunders, A. M., Strittmatter, W. J., Schmechel, D. E., Gaskell, P. C., Small, G. W., Roses, A. D., Haines, J. L., & Pericak-Vance, M. A. (1993) · Science · doi:10.1126/science.8346443 · Cited by 9,429 · see citing works
A Prospective Natural-History Study of Coronary Atherosclerosis
Stone, G. W., Maehara, A., Lansky, A. J., Bruyne, B. D., Cristea, E., Mintz, G. S., Mehran, R., McPherson, J., Farhat, N. Z., Marso, S. P., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1002358 · Cited by 3,281 · see citing works
Adenoma detection rate and risk of colorectal cancer and death
Corley, D. A., Jensen, C. D., Marks, A. R., Zhao, W. K., Lee, J. K., Doubeni, C. A., Zauber, A. G., de Boer, J., Fireman, B. H., Schottinger, J. E., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1309086 · Cited by 2,270 · see citing works
Factors for Glaucoma Progression and the Effect of Treatment
Leske, M. C. (2003) · Archives of Ophthalmology · doi:10.1001/archopht.121.1.48 · Cited by 2,036 · see citing works
A Reengineered Hospital Discharge Program to Decrease Rehospitalization
Jack, B. W., Chetty, V. K., Anthony, D., Greenwald, J. L., Sanchez, G. M., Johnson, A. E., Forsythe, S. R., O'Donnell, J. K., Paasche‐Orlow, M. K., Manasseh, C., et al. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-150-3-200902030-00007 · Cited by 1,595 · see citing works
Clozapine Treatment for Suicidality in Schizophrenia<subtitle>International Suicide Prevention Trial (InterSePT)</subtitle>
Meltzer, H. Y. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.1.82 · Cited by 1,393 · see citing works
Wolves influence elk movements: Behavior shapes a trophic cascade in Yellowstone National Park
Fortin, D., Beyer, H. L., Boyce, M. S., Smith, D. W., Duchesne, T., & Mao, J. S. (2005) · Ecology · doi:10.1890/04-0953 · Cited by 1,351 · see citing works
The Mechanisms of Policy Diffusion
Shipan, C. R., & Volden, C. (2008) · American Journal of Political Science · doi:10.1111/j.1540-5907.2008.00346.x · Cited by 1,369 · see citing works
Lutein + Zeaxanthin and Omega-3 Fatty Acids for Age-Related Macular Degeneration: The Age-Related Eye Disease Study 2 (AREDS2) Randomized Clinical Trial
(2013) · JAMA · doi:10.1001/jama.2013.4997 · Cited by 1,355 · see citing works
A Comparison of Outcomes with Angiotensin-Converting–Enzyme Inhibitors and Diuretics for Hypertension in the Elderly
Wing, L. M. H., Reid, C. M., Ryan, P., Beilin, L. J., Brown, M. A., Jennings, G. L. R., Johnston, C. I., McNeil, J. J., Macdonald, G. J., Marley, J. E., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa021716 · Cited by 1,130 · see citing works
Applying Cox Regression to Competing Risks
Lunn, M., & McNeil, D. (1995) · Biometrics · doi:10.2307/2532940 · Cited by 1,017 · see citing works
Semiparametric regression for the mean and rate functions of recurrent events
Lin, D. Y., Wei, L. J., Yang, I., & Ying, Z. (2000) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00259 · Cited by 969 · see citing works
Self-citation
Tai Chi and Fall Reductions in Older Adults: A Randomized Controlled Trial
Li, F., Harmer, P., Fisher, K. J., McAuley, E., Chaumeton, N. R., Eckstrom, E., & Wilson, N. L. (2005) · The Journals of Gerontology Series A · doi:10.1093/gerona/60.2.187 · Cited by 750 · see citing works
Full Coverage for Preventive Medications after Myocardial Infarction
Choudhry, N. K., Avorn, J., Glynn, R. J., Antman, E. M., Schneeweiß, S., Toscano, M., Reisman, L., Fernandes, J. F., Spettell, C. M., Lee, J. L.-Y., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmsa1107913 · Cited by 736 · see citing works
Cardiac resynchronization therapy for the treatment of heart failure in patients with intraventricular conduction delay and malignant ventricular tachyarrhythmias
Higgins, S. L., Hummel, J. D., Niazi, I. K., GIUDICI, M. C., WORLEY, S. J., Saxon, L. A., BOEHMER, J. P., Higginbotham, M. B., Marco, T. D., Foster, E., et al. (2003) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(03)01042-8 · Cited by 709 · see citing works
Condom Use and the Risk of Genital Human Papillomavirus Infection in Young Women
Winer, R. L., Hughes, J. P., Feng, Q., O'Reilly, S., Kiviat, N. B., Holmes, K. K., & Koutsky, L. A. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa053284 · Cited by 694 · see citing works
Cox-Type Regression Analysis for Large Numbers of Small Groups of Correlated Failure Time Observations
Lee, E. W., Wei, L. J., Amato, D. A., & Leurgans, S. (1992) · Survival Analysis: State of the Art · doi:10.1007/978-94-015-7983-4_14 · Cited by 688 · see citing works
Self-citation
The Effect of Combined Estrogen and Progesterone Hormone Replacement Therapy on Disease Activity in Systemic Lupus Erythematosus: A Randomized Trial
Buyon, J. P., Petri, M. A., Kim, M. Y., Kalunian, K. C., Grossman, J., Hahn, B. H., Merrill, J. T., Sammaritano, L., Lockshin, M., Alarcón, G. S., et al. (2005) · Annals of Internal Medicine · doi:10.7326/0003-4819-142-12_part_1-200506210-00004 · Cited by 661 · see citing works
Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networks
Aral, S., & Walker, D. (2011) · Management Science · doi:10.1287/mnsc.1110.1421 · Cited by 786 · see citing works
Bottom‐Up Federalism: The Diffusion of Antismoking Policies from U.S. Cities to States
Shipan, C. R., & Volden, C. (2006) · American Journal of Political Science · doi:10.1111/j.1540-5907.2006.00218.x · Cited by 616 · see citing works
Cox regression analysis of multivariate failure time data: The marginal approach
Lin, D. Y. (1994) · Statistics in Medicine · doi:10.1002/sim.4780132105 · Cited by 588 · see citing works
Self-citation
The Age-Related Eye Disease Study (AREDS): design implications. AREDS report no. 1.
Lindblad, A., Kassoff, A., Kieval, S., Mehu, M., Buehler, J., Eglow, M., Kaufman, F., Margherio, R., Cox, M., Garretson, B., et al. (1999) · Controlled Clinical Trials · doi:10.1016/s0197-2456(99)00031-8 · Cited by 555 · see citing works
Modelling recurrent events: a tutorial for analysis in epidemiology
Amorim, L. D., & Cai, J. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyu222 · Cited by 564 · see citing works
Personalized Medicine in a Phase I Clinical Trials Program: The MD Anderson Cancer Center Initiative
Tsimberidou, A. M., Iskander, N. G., Hong, D. S., Wheler, J. J., Falchook, G. S., Fu, S., Piha-Paul, S. A., Naing, A., Jankú, F., Luthra, R., et al. (2012) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-12-1627 · Cited by 538 · see citing works
Risk Factors for Malignant Ventricular Arrhythmias in Lamin A/C Mutation Carriers
van Rijsingen, I. A. W., Arbustini, E., Elliot, P. M., Mogensen, J., Ast, J. F. H.-V., van der Kooi, A. J., van Tintelen, J. P., van den Berg, M. P., Pilotto, A., Pasotti, M., et al. (2012) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2011.08.078 · Cited by 539 · see citing works
ESTIMATING THE PROPORTION OF TREATMENT EFFECT EXPLAINED BY A SURROGATE MARKER
Lin, D. Y., Fleming, T. R., & Gruttola, V. D. (1997) · Statistics in Medicine · doi:10.1002/(sici)1097-0258(19970715)16:13 · Cited by 520 · see citing works
Self-citation
Inflammation, Coagulation and Cardiovascular Disease in HIV-Infected Individuals
Duprez, D. A., Neuhaus, J., Kuller, L. H., Tracy, R. P., Belloso, W. H., Wit, S. D., Drummond, F., Lane, H. C., Ledergerber, B., Lundgren, J. D., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044454 · Cited by 520 · see citing works
Natural History and Possible Reactivation of Human Papillomavirus in Human Immunodeficiency Virus–Positive Women
Strickler, H. D., Burk, R. D., Fazzari, M. J., Anastos, K., MINKOFF, H. L., Massad, L. S., Hall, C. B., Bacon, M. C., Levine, A. M., Watts, D. H., et al. (2005) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/dji073 · Cited by 519 · see citing works
Coronary Atherosclerotic Precursors of Acute Coronary Syndromes
Chang, H., Lin, F. Y.-H., Lee, S., Andreini, D., Bax, J. J., Cademartiri, F., Chinnaiyan, K. M., Chow, B. J. W., Conte, E., Cury, R. C., et al. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.02.079 · Cited by 495 · see citing works
Generalizing evidence from randomized clinical trials to target populations: The ACTG 320 trial.
Cole, S., & Stuart, E. (2010) · American Journal of Epidemiology · doi:10.1093/aje/kwq084 · Cited by 535 · see citing works
Pandemic Politics: Timing State-Level Social Distancing Responses to COVID-19
Adolph, C., Amano, K., Bang-Jensen, B., Fullman, N., & Wilkerson, J. (2020) · Journal of Health Politics Policy and Law · doi:10.1215/03616878-8802162 · Cited by 480 · see citing works
Frailty Models in Survival Analysis
Wienke, A. (2010) · Chapman & Hall/CRC eBooks · doi:10.1201/9781420073911 · Cited by 474 · see citing works
Arsenic exposure from drinking water and mortality from cardiovascular disease in Bangladesh: prospective cohort study
Chen, Y., Graziano, J. H., Parvez, F., Liu, M., Slavkovich, V., Kalra, T., Argos, M., Islam, T., Ahmed, A., Rakibuz-Zaman, M., et al. (2011) · BMJ · doi:10.1136/bmj.d2431 · Cited by 454 · see citing works
Denosumab versus zoledronic acid in bone disease treatment of newly diagnosed multiple myeloma: an international, double-blind, double-dummy, randomised, controlled, phase 3 study
Raje, N. S., Terpos, E., Willenbacher, W., Shimizu, K., García‐Sánz, R., Durie, B. G. M., Legiec, W. M., Krejčí, M., Laribi, K., Zhu, L., et al. (2018) · The Lancet Oncology · doi:10.1016/s1470-2045(18)30072-x · Cited by 454 · see citing works
So Many Correlated Tests, So Little Time! Rapid Adjustment of P Values for Multiple Correlated Tests
Conneely, K. N., & Boehnke, M. (2007) · The American Journal of Human Genetics · doi:10.1086/522036 · Cited by 446 · see citing works
Complications Leading to Surgery after Breast Implantation
Gabriel, S. E., Woods, J. E., O’Fallon, W. M., Beard, C. M., Kurland, L. T., & Melton, L. J. (1997) · New England Journal of Medicine · doi:10.1056/nejm199703063361001 · Cited by 446 · see citing works
An Automated Model to Identify Heart Failure Patients at Risk for 30-Day Readmission or Death Using Electronic Medical Record Data
Amarasingham, R., Moore, B. J., Tabak, Y. P., Drazner, M. H., Clark, C. A., Zhang, S., Reed, W. G., Swanson, T. S., Ma, Y., & Halm, E. A. (2010) · Medical Care · doi:10.1097/mlr.0b013e3181ef60d9 · Cited by 437 · see citing works
The influence of prior industry affiliation on framing in nascent industries: the evolution of digital cameras
Benner, M. J., & Tripsas, M. (2011) · Strategic Management Journal · doi:10.1002/smj.950 · Cited by 420 · see citing works
Biochemical and imaging surveillance in germline TP53 mutation carriers with Li-Fraumeni syndrome: a prospective observational study
Villani, A., Tabori, U. Y., Schiffman, J. D., Shlien, A., Beyene, J., Druker, H. A., Novokmet, A., Finlay, J. L., & Malkin, D. M. (2011) · The Lancet Oncology · doi:10.1016/s1470-2045(11)70119-x · Cited by 420 · see citing works
Secondary Analyses of the Effects of Lutein/Zeaxanthin on Age-Related Macular Degeneration Progression: AREDS2 Report No. 3
Chew, E. Y., Clemons, T. E., SanGiovanni, J. P., Danis, R. P., Ferris, F. L., Elman, M. J., Antoszyk, A. N., Ruby, A. J., Orth, D., Bressler, S. B., et al. (2014) · JAMA Ophthalmology · doi:10.1001/jamaophthalmol.2013.7376 · Cited by 415 · see citing works
The Age-Related Eye Disease Study 2 (AREDS2): Study Design and Baseline Characteristics (AREDS2 Report Number 1)
Chew, E., Clemons, T., Sangiovanni, J., Danis, R., Domalpally, A., Mcbee, W., Sperduto, R., & Ferris, F. (2012) · Ophthalmology (Rochester, Minn.) · doi:10.1016/j.ophtha.2012.05.027 · Cited by 432 · see citing works
Long-Term Survival Is Superior After Resection for Cancer in High-Volume Centers
Fong, Y., Gönen, M., Rubin, D. M., Radzyner, M. H., & Brennan, M. F. (2005) · Annals of Surgery · doi:10.1097/01.sla.0000184190.20289.4b · Cited by 399 · see citing works
Estimation of Multivariate Frailty Models Using Penalized Partial Likelihood
Ripatti, S., & Palmgren, J. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.01016.x · Cited by 398 · see citing works
Effect of Influenza Vaccination of Children on Infection Rates in Hutterite Communities
Loeb, M. B., Russell, M. L., Moss, L., Fonseca, K., Fox, J. D., Earn, D. J. D., Aoki, F. Y., Horsman, G. B., Caeseele, P. G. V., Chokani, K., et al. (2010) · JAMA · doi:10.1001/jama.2010.250 · Cited by 387 · see citing works
Testing proportionality in the proportional odds model fitted with GEE
Stiger, T. R., Barnhart, H. X., & Williamson, J. M. (1999) · Statistics in Medicine · doi:10.1002/(sici)1097-0258(19990615)18:11 · Cited by 32 · see citing works
Low-Level Expression of MicroRNAs let-7d and miR-205 Are Prognostic Markers of Head and Neck Squamous Cell Carcinoma
Childs, G. J., Fazzari, M. J., Kung, G., Kawachi, N., Brandwein‐Gensler, M. S., McLemore, M. S., Chen, Q., Burk, R. D., Smith, R. V., Prystowsky, M. B., et al. (2009) · American Journal Of Pathology · doi:10.2353/ajpath.2009.080731 · Cited by 360 · see citing works
TOLLIP , MUC5B , and the Response to N -Acetylcysteine among Individuals with Idiopathic Pulmonary Fibrosis
Oldham, J. M., Ma, S.-F., Martinez, F. J., Anstrom, K. J., Raghu, G., Schwartz, D. A., Valenzi, E., Witt, L., Lee, C., Vij, R., et al. (2015) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201505-1010oc · Cited by 341 · see citing works
Associations Between Acute Kidney Injury and Cardiovascular and Renal Outcomes After Coronary Angiography
James, M. T., Ghali, W. A., Knudtson, M. L., Ravani, P., Tonelli, M. A., Faris, P., Pannu, N., Manns, B., Klarenbach, S. W., & Hemmelgarn, B. R. (2011) · Circulation · doi:10.1161/circulationaha.110.970160 · Cited by 362 · see citing works
Clinical Information Technologies and Inpatient Outcomes
Amarasingham, R., Plantinga, L., Diener‐West, M., Gaskin, D. J., & Powe, N. R. (2009) · Archives of Internal Medicine · doi:10.1001/archinternmed.2008.520 · Cited by 350 · see citing works
Techniques of Event History Modeling: New Approaches to Causal Analysis
Tom, B. D. M. (2003) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.1111/1467-9884.t01-18-00356 · Cited by 352 · see citing works
Risk factors for repeated cerebrospinal shunt failures in pediatric patients with hydrocephalus
Tuli, S. K., Drake, J. M., Lawless, J. F., Wigg, M., & Lamberti-Pasculli, M. (2000) · Journal of neurosurgery · doi:10.3171/jns.2000.92.1.0031 · Cited by 347 · see citing works
Shared Frailty Models for Recurrent Events and a Terminal Event
Liu, L., Wolfe, R. A., & Huang, X. (2004) · Biometrics · doi:10.1111/j.0006-341x.2004.00225.x · Cited by 340 · see citing works
Biases in ecological studies: utility of including within-area distribution of confounders
Lasserre, V., Guihenneuc‐Jouyaux, C., & Richardson, S. T. (2000) · Statistics in Medicine · doi:10.1002/(sici)1097-0258(20000115)19:1 · Cited by 48 · see citing works
Intense Tai Chi Exercise Training and Fall Occurrences in Older, Transitionally Frail Adults: A Randomized, Controlled Trial
Wolf, S. L., Sattin, R. W., Kutner, M., O'Grady, M., Greenspan, A. I., & Gregor, R. J. (2003) · Journal of the American Geriatrics Society · doi:10.1046/j.1532-5415.2003.51552.x · Cited by 337 · see citing works
The APOL1 Gene and Allograft Survival after Kidney Transplantation
Reeves‐Daniel, A., DePalma, J., Bleyer, A. J., Rocco, M. V., Murea, M., Adams, P. L., Langefeld, C. D., Bowden, D. W., Hicks, P. J., Stratta, R. J., et al. (2011) · American Journal of Transplantation · doi:10.1111/j.1600-6143.2011.03513.x · Cited by 330 · see citing works
A randomized, multicenter comparison of tacrolimus and cyclosporine immunosuppressive regimens in cardiac transplantation: decreased hyperlipidemia and hypertension with tacrolimus11This study was sponsored by a grant from Fujisawa USA, Deerfield, Illinois.22The authors were working on behalf of the Tacrolimus US Heart Transplant Multicenter Study Group. Other members of the Study Group included (principal investigator listed first): UTAH Cardiac Transplant Program, Salt Lake City, Utah: David O. Taylor, MD, Dale G. Renlund, MD, Abdallah G. Kfoury, MD; St. Luke’s Episcopal Hospital/Texas Heart Institute, Houston, Texas: O. H. Frazier, MD, Branislav Radovancevic, MD, Edward K. Massin, MD; University of Wisconsin Hospitals and Clinics, Madison, Wisconsin: Robert M. Mentzer, Jr., MD, Charles C. Canver, MD, Robert B. Love, MD; Ochsner Medical Foundation, New Orleans, Louisiana: Frank W. Smart, MD, Hector O. Ventura, MD, Dwight D. Stapleton, MD, Mandeep Mehra, MD; University of Southern California, Los Angeles, California: Mark L. Barr, MD, Vaugh A. Starnes, MD; Medical College of Virginia, Richmond, Virginia: David E. Tolman, MD, Albert Guerraty, MD, David Salter, MD; Cleveland Clinic Foundation, Cleveland, Ohio: James B. Young, MD; Data Management and Statistical Coordinating Center-The EMMES Corporation, Potomac, Maryland: Paul VanVeldhuisen, MS, Anne Lindblad, PhD, Anita Yaffe, MSN, MPH.
Taylor, D. O., Barr, M. L., Radovančević, B., Renlund, D. G., Mentzer, R. M., Smart, F. W., Tolman, D. E., Frazier, O. H., Young, J. B., & VanVeldhuisen, P. (1999) · The Journal of Heart and Lung Transplantation · doi:10.1016/s1053-2498(98)00060-6 · Cited by 317 · see citing works
Suicide in 406 Mood-Disorder Patients With and Without Long-Term Medication: A 40 to 44 Years' Follow-Up
Angst, J., Angst, F., Gerber-Werder, R., & Gamma, A. (2005) · Archives of Suicide Research · doi:10.1080/13811110590929488 · Cited by 317 · see citing works
Survival Benefit-Based Deceased-Donor Liver Allocation
Schaubel, D. E., Guidinger, M. K., Biggins, S. W., Kalbfleisch, J. D., Pomfret, E. A., Sharma, P., & Merion, R. M. (2009) · American Journal of Transplantation · doi:10.1111/j.1600-6143.2009.02571.x · Cited by 316 · see citing works
Maximum Likelihood Estimation in Semiparametric Regression Models with Censored Data
Zeng, D., & Lin, D. Y. (2007) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.1369-7412.2007.00606.x · Cited by 315 · see citing works
Self-citation
Diagnostic conversion from depression to bipolar disorders: results of a long-term prospective study of hospital admissions
Angst, J., Sellaro, R., Stassen, H. H., & Gamma, A. (2003) · Journal of Affective Disorders · doi:10.1016/s0165-0327(03)00195-2 · Cited by 311 · see citing works
Myocardial Viability and Long-Term Outcomes in Ischemic Cardiomyopathy
Panza, J. A., Ellis, A. M., Al‐Khalidi, H. R., Holly, T. A., Berman, D. S., Oh, J. K., Pohost, G. M., Sopko, G. S., Chrzanowski, L., Mark, D. B., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1807365 · Cited by 304 · see citing works
Anti–tumor necrosis factor α therapy and the risk of serious bacterial infections in elderly patients with rheumatoid arthritis
Schneeweiß, S., Setoguchi, S., Weinblatt, M. E., Katz, J. N., Avorn, J., Sax, P. E., Levin, R., & Solomon, D. H. (2007) · Arthritis & Rheumatism · doi:10.1002/art.22600 · Cited by 302 · see citing works
Some Graphical Displays and Marginal Regression Analyses for Recurrent Failure Times and Time Dependent Covariates
PEPE, M. S., & Cai, J. (1993) · Journal of the American Statistical Association · doi:10.1080/01621459.1993.10476346 · Cited by 302 · see citing works
Mining Electronic Health Records (EHRs): A Survey
Yadav, P., Steinbach, M., Kumar, V., & Simon, G. (2018) · ACM Computing Surveys · doi:10.1145/3127881 · Cited by 299 · see citing works
The Nested Dirichlet Process
Rodríguez, A., Dunson, D. B., & Gelfand, A. E. (2008) · Journal of the American Statistical Association · doi:10.1198/016214508000000553 · Cited by 295 · see citing works
Multivariable Analysis: A Practical Guide for Clinicians and Public Health Researchers
Katz, M. H. (2011) · Cited by 298 · see citing works
Neighborhood-Level Racial/Ethnic Residential Segregation and Incident Cardiovascular Disease
Kershaw, K. N., Osypuk, T. L., Phuong, D., Chavez, P. J. D. D., & Roux, A. V. D. (2014) · Circulation · doi:10.1161/circulationaha.114.011345 · Cited by 285 · see citing works
Nonparametric Analysis of Recurrent Events and Death
Ghosh, D., & Lin, D. Y. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00554.x · Cited by 272 · see citing works
Self-citation
Statistical methods for studying disease subtype heterogeneity
Wang, M., Spiegelman, D. L., Kuchiba, A., Lochhead, P. J., Kim, S., Chan, A. T., Poole, E. M., Tamimi, R. M., Tworoger, S. S., Giovannucci, E. L., et al. (2015) · Statistics in Medicine · doi:10.1002/sim.6793 · Cited by 269 · see citing works
The Role of Policy Attributes in the Diffusion of Innovations
Makse, T., & Volden, C. (2011) · The Journal of Politics · doi:10.1017/s0022381610000903 · Cited by 266 · see citing works
Prospective Evaluation of Late Cosmetic Results following Breast Reconstruction: I. Implant Reconstruction
Clough, K. B., OʼDonoghue, J. M., Fitoussi, A. D., Nos, C., & Falcou, M.-C. (2001) · Plastic & Reconstructive Surgery · doi:10.1097/00006534-200106000-00010 · Cited by 263 · see citing works
Effects of Icosapent Ethyl on Total Ischemic Events
Bhatt, D. L., Steg, P. G., Miller, M., Brinton, E. A., Jacobson, T. A., Ketchum, S. B., Doyle, R. T., Juliano, R. A., Jiao, L., Granowitz, C., et al. (2019) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2019.02.032 · Cited by 259 · see citing works
Risk of Basal Cell and Squamous Cell Skin Cancers After Ionizing Radiation Therapy
Karagas, M. R., McDonald, J. A., Greendberg, E. R., Stukel, T. A., Weiss, J. E., Baron, J. A., Stevens, M. M., & For the Skin Cancer Prevention Study Group (1996) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/88.24.1848 · Cited by 258 · see citing works
Multiplicity Considerations in the Design and Analysis of Clinical Trials
Cook, R. J., & Farewell, V. T. (1996) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.2307/2983471 · Cited by 257 · see citing works
Cox Regression with Incomplete Covariate Measurements
Lin, D. Y., & Ying, Z. (1993) · Journal of the American Statistical Association · doi:10.1080/01621459.1993.10476416 · Cited by 251 · see citing works
Self-citation
Randomized trial of neoadjuvant chemotherapy in oropharyngeal carcinoma
Domenge, C., Hill, C., Lefèbvre, J. L., Raucourt, D. D., Rhein, B., Wibault, P., Marandas, P., Coche‐Dequeant, B., Stromboni-Luboinski, M., Sancho-Garnier, H., et al. (2000) · British Journal of Cancer · doi:10.1054/bjoc.2000.1512 · Cited by 254 · see citing works
Covariance and Survivor Function Estimation Using Censored Multivariate Failure Time Data
Prentice, R. L., & Cai, J. (1992) · Biometrika · doi:10.1093/biomet/79.3.495 · Cited by 250 · see citing works
Extending the Cox Model
Therneau, T. (1997) · Lecture notes in statistics · doi:10.1007/978-1-4684-6316-3_5 · Cited by 390 · see citing works
Explaining the homogeneous diffusion of COVID-19 nonpharmaceutical interventions across heterogeneous countries
Sebhatu, A., Wennberg, K., Arora-Jonsson, S., & Lindberg, S. I. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2010625117 · Cited by 249 · see citing works
The Advanced Glaucoma Intervention Study, 8: Risk of Cataract Formation After Trabeculectomy
The AGIS Investigators (2001) · Archives of Ophthalmology · doi:10.1001/archopht.119.12.1771 · Cited by 246 · see citing works
Inference for Events With Dependent Risks in Multiple Endpoint Studies
PEPE, M. S. (1991) · Journal of the American Statistical Association · doi:10.1080/01621459.1991.10475108 · Cited by 237 · see citing works
Efficient estimation of semiparametric transformation models for counting processes
Zeng, D., & Lin, D. Y. (2006) · Biometrika · doi:10.1093/biomet/93.3.627 · Cited by 235 · see citing works
Self-citation
Sample size determination for multiple comparison studies treating confidence interval width as random
Pan, Z., & Kupper, L. L. (1999) · Statistics in Medicine · doi:10.1002/(sici)1097-0258(19990630)18:12 · Cited by 26 · see citing works
A review of modern multiple hypothesis testing, with particular attention to the false discovery proportion
Farcomeni, A. (2007) · Statistical Methods in Medical Research · doi:10.1177/0962280206079046 · Cited by 222 · see citing works
Weathering product-harm crises
Cleeren, K., Dekimpe, M. G., & Helsen, K. (2007) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-007-0022-8 · Cited by 225 · see citing works
Familial risk of lymphoproliferative tumors in families of patients with chronic lymphocytic leukemia: results from the Swedish Family-Cancer Database
Goldin, L. R., Pfeiffer, R. M., Li, X., & Hemminki, K. (2004) · Blood · doi:10.1182/blood-2004-01-0341 · Cited by 221 · see citing works
Marginal Regression Models for Multivariate Failure Time Data
Spiekerman, C. F., & Lin, D. Y. (1998) · Journal of the American Statistical Association · doi:10.1080/01621459.1998.10473777 · Cited by 221 · see citing works
Self-citation
Duration Models for Repeated Events
Box‐Steffensmeier, J. M., & Zorn, C. (2002) · The Journal of Politics · doi:10.1111/1468-2508.00163 · Cited by 220 · see citing works
When do Interlocks Matter? Institutional Logics and the Diffusion of Multiple Corporate Governance Practices
Shipilov, A. V., Greve, H. R., & Rowley, T. J. (2010) · Academy of Management Journal · doi:10.5465/amj.2010.52814614 · Cited by 219 · see citing works
A systematic review of evidence on malignant spinal metastases: natural history and technologies for identifying patients at high risk of vertebral fracture and spinal cord compression
Sutcliffe, P. A., Connock, M. J., Shyangdan, D., Court, R. A., Kandala, N., & Clarke, A. (2013) · Health Technology Assessment · doi:10.3310/hta17420 · Cited by 217 · see citing works
SURVIVAL ANALYSIS IN PUBLIC HEALTH RESEARCH
Lee, E. T., & Go, O. T. (1997) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.18.1.105 · Cited by 218 · see citing works
Human Papillomavirus Type 16 and Immune Status in Human Immunodeficiency Virus-Seropositive Women
Strickler, H. D., Palefsky, J. M., Shah, K. V., Anastos, K., Klein, R. S., Minkoff, H., Duerr, A. C., Massad, L. S., Celentano, D. D., Hall, C. B., et al. (2003) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/95.14.1062 · Cited by 216 · see citing works
Relationship Between Bacterial Strain Type, Host Biomarkers, and Mortality in Clostridium difficile Infection
Walker, A. S., Eyre, D. W., Wyllie, D. H., Dingle, K. E., Griffiths, D., Shine, B. S. F., Oakley, S. J., O’Connor, L., Finney, J., Vaughan, A., et al. (2013) · Clinical Infectious Diseases · doi:10.1093/cid/cit127 · Cited by 214 · see citing works
REML Estimation for Survival Models with Frailty
McGilchrist, C. A. (1993) · Biometrics · doi:10.2307/2532615 · Cited by 214 · see citing works
Joint frailty models for recurring events and death using maximum penalized likelihood estimation: application on cancer events
Rondeau, V., Mathoulin-Pelissier, S., Jacqmin-Gadda, H., Brouste, V., & Soubeyran, P. (2006) · Biostatistics · doi:10.1093/biostatistics/kxl043 · Cited by 211 · see citing works
Personalized Medicine for Patients with Advanced Cancer in the Phase I Program at MD Anderson: Validation and Landmark Analyses
Tsimberidou, A. M., Wen, S., Hong, D. S., Wheler, J. J., Falchook, G. S., Fu, S., Piha-Paul, S. A., Naing, A., Jankú, F., Aldape, K., et al. (2014) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-14-0603 · Cited by 210 · see citing works
Efficacy and Safety of Echinacea in Treating Upper Respiratory Tract Infections in Children
Taylor, J. A., Weber, W. J., Standish, L. J., Quinn, H. C., Goesling, J., McGann, M. E., & Calabrese, C. (2003) · JAMA · doi:10.1001/jama.290.21.2824 · Cited by 210 · see citing works
Analgesic Efficacy and Safety of Oxycodone in Combination With Naloxone as Prolonged Release Tablets in Patients With Moderate to Severe Chronic Pain
Vondráčková, D., Leyendecker, P., Meißner, W., Hopp, M., Szombati, I., Hermanns, K., Ruckes, C., Weber, S., Grothe, B., Fleischer, W., et al. (2008) · Journal of Pain · doi:10.1016/j.jpain.2008.06.014 · Cited by 210 · see citing works
Reduction in Total Cardiovascular Events With Ezetimibe/Simvastatin Post-Acute Coronary Syndrome
Murphy, S. A., Cannon, C. P., Blazing, M. A., Giugliano, R. P., White, J. A., Lokhnygina, Y., Reist, C., Im, K., Bohula, E. A., Isaza, D., et al. (2016) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2015.10.077 · Cited by 205 · see citing works
Risk Factors for Dental Implant Failure: A Strategy for the Analysis of Clustered Failure-time Observations
Chuang, S. K., Wei, L. J., Douglass, C. W., & Dodson, T. B. (2002) · Journal of Dental Research · doi:10.1177/154405910208100814 · Cited by 208 · see citing works
Self-citation

Marginal Regression Models for Multivariate Failure Time Data
Spiekerman, C. F., & Lin, D. Y. (1998) · Journal of the American Statistical Association · doi:10.1080/01621459.1998.10473777 · Cited by 221 · see citing works
Self-citation
Cox regression analysis of multivariate failure time data: The marginal approach
Lin, D. Y. (1994) · Statistics in Medicine · doi:10.1002/sim.4780132105 · Cited by 588 · see citing works
Self-citation
Some recent developments for regression analysis of multivariate failure time data
Liang, K., Self, S. G., Bandeen‐Roche, K., & Zeger, S. L. (1995) · Lifetime Data Analysis · doi:10.1007/bf00985452 · Cited by 69 · see citing works
Linear Regression Analysis for Multivariate Failure Time Observations
Lin, J., & Wei, L. (1992) · Journal of the American Statistical Association · doi:10.1080/01621459.1992.10476264 · Cited by 82 · see citing works
Self-citation
MULCOX: a computer program for the Cox regression analysis of multiple failure time variables
Lin, D. Y. (1990) · Computer Methods and Programs in Biomedicine · doi:10.1016/0169-2607(90)90092-n · Cited by 18 · see citing works
Self-citation

Authors: Wei, L. J., Lin, D. Y., & Weissfeld, L.
Affiliations: University of Wisconsin–Madison (US)
Harvard University (US)
University of Michigan (US)
ORCID: Wei, L. J.
Lin, D. Y.
Venue: Journal of the American Statistical Association
Publisher: Informa UK Limited
Published: 1989-12
Volume: 84
Issue: 408
Pages: 1065-1073
ISSN: 0162-1459 (ISSN-L)
1537-274X
DOI: 10.1080/01621459.1989.10478873
OpenAlex: W2092648747
Cited by: 1,868
References: 31
Citations by year: 2026: 29 · 2025: 45 · 2024: 33 · 2023: 33 · 2022: 76 · 2021: 67 · 2020: 74 · 2019: 66 · 2018: 68 · 2017: 52 · 2016: 83 · 2015: 79 · 2014: 104 · 2013: 91 · 2012: 78
FWCI: 8.37
Type: journal article
Language: en
Open access: closed
Locations: Journal of the American Statistical Association (publishedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
Keywords: multivariate failure time data, marginal distributions, Cox proportional hazards model, asymptotic normality, simultaneous inference, time-varying covariates, missing data, censorship, recurrent events, dependence structure

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Regression analysis of multivariate incomplete failure time data by modeling marginal distributions

Abstract

Integrity signals

Claims the paper makes

Claims other papers make about this one

Cites

Cited by

Related

Record

About these checks