The DOI matches its Crossref record; 25 of the 26 references it cites were found in a registry or an index.
Cox’s regression model for counting processes: A large sample study
Open accessAbstract
The Cox regression model for censored survival data specifies that covariates have a proportional effect on the hazard function of the life-time distribution of an individual. In this paper we discuss how this model can be extended to a model where covariate processes have a proportional effect on the intensity process of a multivariate counting process. This permits a statistical regression analysis of the intensity of a recurrent event allowing for complicated censoring patterns and time dependent covariates. Furthermore, this formulation gives rise to proofs with very simple structure using martingale techniques for the asymptotic properties of the estimators from such a model. Finally an example of a statistical analysis is included.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
In the citing paper
“An additional pre-specified analysis, the Andersen-Gill model using a Cox proportional-hazard with the counting-process formulation, was performed to model the total events (50,51).”
From Effects of Icosapent Ethyl on Total Ischemic Events (2019) · cites this paper as [50]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Convergence of Probability Measures
Billingsley, P. (1999) · Wiley series in probability and statistics · doi:10.1002/9780470316962 · Cited by 14,153
Linear Statistical Inference and its Applications
Rao, C. R. (1973) · Wiley series in probability and statistics · doi:10.1002/9780470316436 · Cited by 10,474
Covariance Analysis of Censored Survival Data
Breslow, N. E. (1974) · Biometrics · doi:10.2307/2529620 · Cited by 1,778
Nonparametric Inference for a Family of Counting Processes
Aalen, O. O. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344247 · Cited by 1,505
Milner, R. (1976) · Cited by 742
Censoring and Stochastic Integrals
Gill, R. D. (1980) · Statistica Neerlandica · doi:10.1111/j.1467-9574.1980.tb00692.x · Cited by 660
Self-citationA Large Sample Study of Cox's Regression Model
Tsiatis, A. A. (1981) · The Annals of Statistics · doi:10.1214/aos/1176345335 · Cited by 482
A Model for Nonparametric Regression Analysis of Counting Processes
Aalen, O. O. (1980) · Lecture notes in statistics · doi:10.1007/978-1-4615-7397-5_1 · Cited by 383
Central limit theorems for local martingales
Rebolledo, R. (1980) · Probability Theory and Related Fields · doi:10.1007/bf00587353 · Cited by 254
Testing Goodness of Fit of Cox's Regression and Life Model
Andersen, P. K. (1982) · Biometrics · doi:10.2307/2530289 · Cited by 242
Self-citation
Research works printed but not linked: 3
- BAILEy, K. R. (1979). The general maximum likelihood approach to the Cox regression model. Ph.D. dissertation, University of Chicago, Chicago, Illinois.
- DoLivo, F. G. (1974) Counting processes and integrated conditional rates: a martingale approach with application to detection theory. Ph.D. thesis, University of Michigan.
- RockAFELLAR, R. T. (1970). Convex analysis. Princeton University Press, Princeton.
Cited by
Sorted by citations
Efficacy and safety of low-dose colchicine after myocardial infarction
Tardif, J.-C., Kouz, S., Waters, D. D., Bertrand, O. F., Diaz, R., Maggioni, A. P., Pinto, F. J., Ibrahim, R., Gamra, H., Kiwan, G. S., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1912388 · Cited by 3,159
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 2,695
Analysis of Circulating Tumor DNA to Monitor Metastatic Breast Cancer
Dawson, S.-J., Tsui, D. W. Y., Murtaza, M., Biggs, H., Rueda, O. M., Chin, S.-F., Dunning, M. J., Gale, D., Forshew, T., Mahler-Araujo, B., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1213261 · Cited by 2,207
Fizazi, K. S., Carducci, M. A., Smith, M. R., Damião, R., Brown, J. E., Karsh, L. I., Milecki, P., Shore, N. D., Rader, M. E., Wang, H., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(10)62344-6 · Cited by 1,974
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 · Cited by 1,868
Chapter 36 Large sample estimation and hypothesis testing
Newey, W. K., & McFadden, D. (1994) · Handbook of Econometrics · doi:10.1016/s1573-4412(05)80005-4 · Cited by 1,743
Stopeck, A., Lipton, A., Body, J.-J., Steger, G. G., Tonkin, K. S., Boer, R. H. D., Lichinitser, M., Fujiwara, Y., Yardley, D. A., Viniegra, M., et al. (2010) · Journal of Clinical Oncology · doi:10.1200/jco.2010.29.7101 · Cited by 1,617
Novel Molecular Subtypes of Serous and Endometrioid Ovarian Cancer Linked to Clinical Outcome
Tothill, R. W., Tinker, A. V., George, J., Brown, R. E., Fox, S. B., Lade, S., Johnson, D., Trivett, M. K., Etemadmoghadam, D., Locandro, B., et al. (2008) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-08-0196 · Cited by 1,458
Efficacy of a Pneumococcal Conjugate Vaccine against Acute Otitis Media
Eskola, J., Kilpi, T. M., PALMU, A. A. I., Jokinen, J., Eerola, M., Haapakoski, J., Herva, E., Takala, A. K., Käyhty, H. M., Karma, P. H., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200102083440602 · Cited by 1,454
A Case-Cohort Design for Epidemiologic Cohort Studies and Disease Prevention Trials
Prentice, R. L. (1986) · Biometrika · doi:10.1093/biomet/73.1.1 · Cited by 1,444
Tiihonen, J., Lönnqvist, J., Wahlbeck, K., Klaukka, T., Niskanen, L., Tanskanen, A., & Haukka, J. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60742-x · Cited by 1,354
Vericiguat in patients with heart failure and reduced ejection fraction
Armstrong, P. W., Pieske, B., Anstrom, K. J., Ezekowitz, J., Hernandez, A. F., Butler, J., Lam, C. S. P., Ponikowski, P., Voors, A. A., Jia, G., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa1915928 · Cited by 1,358
Asymptotics for lasso-type estimators
Fu, W., & Knight, K. (2000) · The Annals of Statistics · doi:10.1214/aos/1015957397 · Cited by 1,276
Henry, D. H., Costa, L., Goldwasser, F., Hirsh, V., Hungria, V., Prausová, J., Scagliotti, G. V., Sleeboom, H. P., Spencer, A. G., Vadhan‐Raj, S., et al. (2011) · Journal of Clinical Oncology · doi:10.1200/jco.2010.31.3304 · Cited by 1,271
Checking the Cox model with cumulative sums of martingale-based residuals
LIN, D. Y., WEI, L. J., & YING, Z. (1993) · Biometrika · doi:10.1093/biomet/80.3.557 · Cited by 1,432
Fred Saad, C., Gleason, D. M., Murray, R., Tchekmedyian, S., Venner, P., Lacombe, L., Chin, J. L., Vinholes, J., Goas, J. A., & Zheng, M. (2004) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djh141 · Cited by 1,199
Direct detection of early-stage cancers using circulating tumor DNA
Phallen, J. A., Sausen, M., Adleff, V., Leal, A., Hruban, C., White, J. R., Anagnostou, V., Fiksel, J., Cristiano, S., Papp, E., et al. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aan2415 · Cited by 1,149
Martingale-based residuals for survival models
Therneau, T., Grambsch, P., & Fleming, T. (1990) · Biometrika · doi:10.1093/biomet/77.1.147 · Cited by 1,169
The Effects of Exercise on Falls in Elderly Patients
Province, M. A. (1995) · JAMA · doi:10.1001/jama.1995.03520410035023 · Cited by 1,068
The Lenercept Multiple Sclerosis Study Group and The University of British Columbia MS/MRI Analysis Group (1999) · Neurology · doi:10.1212/wnl.53.3.457 · Cited by 1,068
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
Hillner, B. E., Ingle, J. N., Chlebowski, R. T., Gralow, J. R., Yee, G. C., Janjan, N. A., Cauley, J. A., Blumenstein, B. A., Albain, K. S., Lipton, A., et al. (2003) · Journal of Clinical Oncology · doi:10.1200/jco.2003.08.017 · Cited by 969
Zeléfsky, M. J., Leibel, S., Gaudin, P. B., Kutcher, G. J., Fleshner, N. E., Venkatramen, E. S., Reuter, V., Fair, W. R., Ling, C., & FUKS, Z. Y. (1998) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/s0360-3016(98)00091-1 · Cited by 920
Relative Contribution of Residual Renal Function and Peritoneal Clearance to Adequacy of Dialysis
Bargman, J. M., Thorpe, K. E., & Churchill, D. N. (2001) · Journal of the American Society of Nephrology · doi:10.1681/asn.v12102158 · Cited by 913
A 17-gene stemness score for rapid determination of risk in acute leukaemia
Ng, S. W. K., Mitchell, A., Kennedy, J. A., Chen, W. C., McLeod, J., Ibrahimova, N., Arruda, A., Popescu, A., Gupta, V., Schimmer, A. D., et al. (2016) · Nature · doi:10.1038/nature20598 · Cited by 912
Martin, H., Richardson, B. A., Nyange, P. M., Lavreys, L., Hillier, S. L., Chohan, B. H., Mandaliya, K. N., Ndinya‐Achola, J. O., Bwayo, J., & Kreiss, J. K. (1999) · The Journal of Infectious Diseases · doi:10.1086/315127 · Cited by 884
Prasugrel versus clopidogrel for acute coronary syndromes without revascularization
Roe, M. T., Armstrong, P. W., Fox, K. A. A., White, H. D., Prabhakaran, D., Goodman, S. G., Cornel, J. H., Bhatt, D. L., Clemmensen, P., Martinez, F., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1205512 · Cited by 874
Burtness, B. A., Goldwasser, M. A., Flood, W. A., Mattar, B. I., & Forastiere, A. A. (2005) · Journal of Clinical Oncology · doi:10.1200/jco.2005.02.4646 · Cited by 883
Rosen, L. S., Gordon, D., Kaminski, M., Howell, A., Belch, A. R., Mackey, J. R., Apffelstaedt, J., Hussein, M. A., Coleman, R. E., Reitsma, D. J., et al. (2003) · Cancer · doi:10.1002/cncr.11701 · Cited by 872
Wei, L. J. (1992) · Statistics in Medicine · doi:10.1002/sim.4780111409 · Cited by 827
A Controlled Trial of Interferon Gamma to Prevent Infection in Chronic Granulomatous Disease
The International Chronic Granulomatous Disease Cooperative Study Group* (1991) · New England Journal of Medicine · doi:10.1056/nejm199102213240801 · Cited by 832
Genetic and Environmental Influences on Premature Death in Adult Adoptees
Sørensen, T. I. A., Nielsen, G. G., Andersen, P. K., & Teasdale, T. W. (1988) · New England Journal of Medicine · doi:10.1056/nejm198803243181202 · Cited by 826
Self-citationWang, W. C., Ware, R. E., Miller, S. T., Iyer, R. V., Casella, J. F., Minniti, C. P., Rana, S., Thornburg, C. D., Rogers, Z. R., Kalpatthi, R. V., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60355-3 · Cited by 803
Network-based stratification of tumor mutations
Hofree, M., Shen, J. P., Carter, H. K., Gross, A. M., & Ideker, T. (2013) · Nature Methods · doi:10.1038/nmeth.2651 · Cited by 747
Scirica, B. M., Braunwald, E., Raz, I., Cavender, M. A., Morrow, D. A., Jarolim, P., Udell, J. A., Mosenzon, O., Im, K., Umez-Eronini, A. A., et al. (2014) · Circulation · doi:10.1161/circulationaha.114.010389 · Cited by 725
Rosen, L. S., Gordon, D., Tchekmedyian, S., Yanagihara, R. H., Hirsh, V., Krzakowski, M. J., Pawlicki, M., SOUZA, P. D., Zheng, M., Urbanowitz, G., et al. (2003) · Journal of Clinical Oncology · doi:10.1200/jco.2003.04.105 · Cited by 728
Rosen, L. S., Gordon, D., Tchekmedyian, N. S., Yanagihara, R., Hirsh, V., Krzakowski, M., Pawlicki, M., de Souza, P., Zheng, M., Urbanowitz, G., et al. (2004) · Cancer · doi:10.1002/cncr.20308 · Cited by 705
Why do Banks Disappear? The Determinants of U.S. Bank Failures and Acquisitions
Wheelock, D. C., & Wilson, P. W. (2000) · The Review of Economics and Statistics · doi:10.1162/003465300558560 · Cited by 696
A Proportional Hazards Model for Interval-Censored Failure Time Data
Finkelstein, D. M. (1986) · Biometrics · doi:10.2307/2530698 · Cited by 688
Decramer, M., Mölken, M. R., Dekhuijzen, P. R., Troosters, T., van Herwaarden, C., Pellegrino, R., van Schayck, O. C. P., Olivieri, D., Donno, M. D., Backer, W. D., et al. (2005) · The Lancet · doi:10.1016/s0140-6736(05)66456-2 · Cited by 680
Engemann, K., Pedersen, C. B., Arge, L., Tsirogiannis, C., Mortensen, P. B., & Svenning, J.-C. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1807504116 · Cited by 668
“IRR of psychiatric disorders were estimated in time-to-event analyses using Cox regressions, using age as the underlying timescale with separate baselines for each gender (51).”
MethodMurphy, S. A., & Van Der Vaart, A. W. (2000) · Journal of the American Statistical Association · doi:10.1080/01621459.2000.10474219 · Cited by 712
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
Preeclampsia and the Risk of End-Stage Renal Disease
Vikse, B. E., Irgens, L. M., Leivestad, T., Skjærven, R., & Iversen, B. M. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0706790 · Cited by 673
Morillo, C. A., Verma, A., Connolly, S. J., Kuck, K. H., Nair, G. M., Champagne, J., Sterns, L. D., Beresh, H., Healey, J. S., Natale, A., et al. (2014) · JAMA · doi:10.1001/jama.2014.467 · Cited by 667
Elastic Net Regularization Paths for All Generalized Linear Models
Tay, J. K., Narasimhan, B., & Hastie, T. J. (2023) · Journal of Statistical Software · doi:10.18637/jss.v106.i01 · Cited by 665
Semiparametric Analysis of the Additive Risk Model
Lin, D. Y., & Ying, Z. (1994) · Biometrika · doi:10.1093/biomet/81.1.61 · Cited by 657
Aral, S., & Walker, D. (2011) · Management Science · doi:10.1287/mnsc.1110.1421 · Cited by 786
Asymptotics for Least Absolute Deviation Regression Estimators
Pollard, D. (1991) · Econometric Theory · doi:10.1017/s0266466600004394 · Cited by 647
Recovery of Information and Adjustment for Dependent Censoring Using Surrogate Markers
Robins, J. M., & Rotnitzky, A. G. (1992) · Birkhäuser Boston eBooks · doi:10.1007/978-1-4757-1229-2_14 · Cited by 646
A Prospective Study of Risk Factors for Symptomatic Urinary Tract Infection in Young Women
Hooton, T. M., Scholes, D., Hughes, J. P., Winter, C., Roberts, P. L., Stapleton, A. E., Stergachis, A. S., & Stamm, W. E. (1996) · New England Journal of Medicine · doi:10.1056/nejm199608153350703 · Cited by 732
Adaptive Lasso for Cox's proportional hazards model
Zhang, H. H., & Lu, W. (2007) · Biometrika · doi:10.1093/biomet/asm037 · Cited by 641
“Since˜β are consistent estimators (Tsiatis, 1981; Andersen & Gill, 1982), their values well reflect the relative importance of the covariates.”
BackgroundPrymula, R., Peeters, P., Chrobok, V., Kriz, P., Nováková, E., Kaliskova, E., Kohl, I., Lommel, P., POOLMAN, J. T., Prieels, J.-P., et al. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68304-9 · Cited by 634
Estimation in a Cox Proportional Hazards Cure Model
Sy, J. P., & Taylor, J. M. G. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00227.x · Cited by 617
BLACK, S. B., Shinefield, H. R., Ling, S. M., Hansen, J. R., FIREMAN, B. H., Spring, D. B., Noyes, J. F., Lewis, E. M., Ray, P., Lee, J., et al. (2002) · The Pediatric Infectious Disease Journal · doi:10.1097/00006454-200209000-00005 · Cited by 615
Abraham, W. T., Stevenson, L. W., Bourge, R. C., Lindenfeld, J. A., Bauman, J. G., & Adamson, P. B. (2015) · The Lancet · doi:10.1016/s0140-6736(15)00723-0 · Cited by 621
Inference on Counterfactual Distributions
(2013) · Econometrica · doi:10.3982/ecta10582 · Cited by 601
Variable Selection for Cox's proportional Hazards Model and Frailty Model
B, J. F. A., & Li, R. (2002) · The Annals of Statistics · doi:10.1214/aos/1015362185 · Cited by 602
The mTORC1 Pathway Stimulates Glutamine Metabolism and Cell Proliferation by Repressing SIRT4
Csibi, A., Fendt, S.-M., Li, C., Poulogiannis, G., Choo, A. Y., Chapski, D. J., Jeong, S. M., Dempsey, J. M., Parkhitko, A., Morrison, T., et al. (2013) · Cell · doi:10.1016/j.cell.2013.04.023 · Cited by 586
Determining asthma treatment by monitoring sputum cell counts: effect on exacerbations
Jayaram, L., Pizzichini, M. M. M., Cook, R. J., Boulet, L., Lemière, C., Pizzichini, E., Cartier, A., Hussack, P., Goldsmith, C. H., Laviolette, M., et al. (2006) · European Respiratory Journal · doi:10.1183/09031936.06.00137704 · Cited by 602
A bootstrap resampling procedure for model building: Application to the cox regression model
Sauerbrei, W., & Schumacher, M. (1992) · Statistics in Medicine · doi:10.1002/sim.4780111607 · Cited by 601
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
Armstrong, G. T., Kawashima, T. I., Leisenring, W. M., Stratton, K. L., Stovall, M., Hudson, M. M., Sklar, C. A., Robison, L. L., & Oeffinger, K. C. (2014) · Journal of Clinical Oncology · doi:10.1200/jco.2013.51.1055 · Cited by 584
“Because participants could have reported multiple grade 3 to 5 conditions, the models used a counting-process approach, using all reported unique conditions for each participant, and accounting for intraparticipant correlations using sandwich SE estimates.(14,15) Separate analyses were conducted to compare overall gra…”
MethodXia, Z., Donehower, L. A., Cooper, T. A., Neilson, J. R., Wheeler, D. A., Wagner, E. J., & Li, W. (2014) · Nature Communications · doi:10.1038/ncomms6274 · Cited by 581
Tsiatis, A. A., DeGruttola, V. G., & Wulfsohn, M. S. (1995) · Journal of the American Statistical Association · doi:10.1080/01621459.1995.10476485 · Cited by 576
Multi-state models for the analysis of time-to-event data
Meira‐Machado, L., de Uña‐Álvarez, J., Cadarso-Suárez, C., & Andersen, P. K. (2008) · Statistical Methods in Medical Research · doi:10.1177/0962280208092301 · Cited by 570
Self-citationCunningham, J., Danese, M. D., Olson, K. A., Klassen, P., & Chertow, G. M. (2005) · Kidney International · doi:10.1111/j.1523-1755.2005.00596.x · Cited by 565
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
Felker, G. M., Anstrom, K. J., Adams, K. F., Ezekowitz, J. A., Fiuzat, M., Miller, N. H., Januzzi, J. L., Mark, D. B., Piña, I. L., Passmore, G., et al. (2017) · JAMA · doi:10.1001/jama.2017.10565 · Cited by 554
Kohno, N., Aogi, K., Minami, H., Nakamura, S., Asaga, T., Iino, Y., Watanabe, T., Goessl, C. D., Ohashi, Y., & Takashima, S. (2005) · Journal of Clinical Oncology · doi:10.1200/jco.2005.05.116 · Cited by 545
Risk of Herpes Zoster in Patients With Rheumatoid Arthritis Treated With Anti–TNF-α Agents
Strangfeld, A. (2009) · JAMA · doi:10.1001/jama.2009.146 · Cited by 543
Olofin, I. O., McDonald, C. M., Ezzati, M., Flaxman, S. R., Black, R. E., Fawzi, W. W., Caulfield, L. E., Danaei, G., & pooling), F. T. N. I. M. S. (. C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064636 · Cited by 557
Identifying functional modules in protein–protein interaction networks: an integrated exact approach
Dittrich, M. T., Klau, G. W., Rosenwald, A., Dandekar, T., & Müller, T. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn161 · Cited by 530
“Survival analysis was performed by Cox regression as implemented in the R-packagesurvival(Andersen and Gill, 1982; Therneau et al., 1990). 2.2 Network The dataset of literature-curated human protein-protein interactions has been obtained from HPRD (Peri et al., 2003; Mishra et al., 2006). Using R and the network struc…”
MethodInfluentialThe CONNECT (Clinical Evaluation of Remote Notification to Reduce Time to Clinical Decision) Trial
Crossley, G. H., Boyle, A., Vitense, H., Chang, Y., & Mead, R. H. (2011) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.12.012 · Cited by 526
Hydrogen Peroxide--Producing Lactobacilli and Acquisition of Vaginal Infections
Hawes, S. E., Hillier, S. L., Benedetti, J., Stevens, C. E., Koutsky, L. A., Wölner‐Hanssen, P., & Holmes, K. K. (1996) · The Journal of Infectious Diseases · doi:10.1093/infdis/174.5.1058 · Cited by 525
Prymula, R., Peeters, P., Chrobok, V., Kriz, P., Nováková, E., Kaliskova, E., Kohl, I., Lommel, P., POOLMAN, J. T., Prieels, J., et al. (2006) · Clinical Otolaryngology · doi:10.1111/j.1749-4486.2006.01314.x · Cited by 522
Motzer, R. J., Robbins, P. B., Powles, T., Albiges, L., Haanen, J. B., Larkin, J., Mu, X. J., Ching, K. A., Uemura, M., Pal, S. K., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-1044-8 · Cited by 518
Cumming, R. G., Thomas, M., Szonyi, G., Salkeld, G. P., O'Neill, E., Westbury, C., & Frampton, G. (1999) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1999.tb01556.x · Cited by 514
Miettinen, T. A., Pyörälä, K., Olsson, A. G., Musliner, T. A., Cook, T. J., Faergeman, O., Berg, K., Pedersen, T., Kjekshus, J., & Group, F. T. S. S. S. (1997) · Circulation · doi:10.1161/01.cir.96.12.4211 · Cited by 508
A PROSPECTIVE STUDY OF RISK FACTORS FOR SYMPTOMATIC URINARY TRACT INFECTION IN YOUNG WOMEN
Ooton, T. H. M. H., Choles, D. E. S., Ames, J. M., Inter, C. A. W., Oberts, L. R., Tapleton, E. S., Tergachis, A. N. S., & Tamm, W. A. E. S. (1996) · Cited by 508
Smoothing Counting Process Intensities by Means of Kernel Functions
Ramlau-Hansen, H. (1983) · The Annals of Statistics · doi:10.1214/aos/1176346152 · Cited by 506
Impact of the pneumococcal conjugate vaccine on otitis media
FIREMAN, B. H., BLACK, S. B., Shinefield, H. R., Lee, J., Lewis, E. M., & Ray, P. (2003) · The Pediatric Infectious Disease Journal · doi:10.1097/00006454-200301000-00006 · Cited by 477
Frailty Models in Survival Analysis
Wienke, A. (2010) · Chapman & Hall/CRC eBooks · doi:10.1201/9781420073911 · Cited by 483
Duration Models and Proportional Hazards in Political Science
Box‐Steffensmeier, J. M., & Zorn, C. (2001) · American Journal of Political Science · doi:10.2307/2669335 · Cited by 472
Estimating Regression Parameters Using Linear Rank Tests for Censored Data
Tsiatis, A. A. (1990) · The Annals of Statistics · doi:10.1214/aos/1176347504 · Cited by 470
Long-term PM2.5 Exposure and Neurological Hospital Admissions in the Northeastern United States
Kioumourtzoglou, M., Schwartz, J. D., Weisskopf, M. G., Melly, S. J., Wang, Y., Dominici, F., & Zanobetti, A. (2015) · Environmental Health Perspectives · doi:10.1289/ehp.1408973 · Cited by 475
“We employed the counting process extension of the model by Andersen and Gill (1982) to create multiple observations per subject, with each observation representing a single person-year of follow-up.”
MethodHospitalizations After Heart Failure Diagnosis
Dunlay, S. M., Redfield, M. M., Weston, S. A., Therneau, T. M., Long, K. H., Shah, N. D., & Roger, V. L. (2009) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2009.08.019 · Cited by 470
The Asymptotic Variance of Semiparametric Estimators
Newey, W. K. (1994) · Econometrica · doi:10.2307/2951752 · Cited by 717
Analysis of Transformation Models with Censored Data
CHENG, S. C., Wei, L. J., & Ying, Z. (1995) · Biometrika · doi:10.1093/biomet/82.4.835 · Cited by 456
Final Report of a Trial of Intensive versus Standard Blood-Pressure Control
The SPRINT Research Group (2021) · New England Journal of Medicine · doi:10.1056/nejmoa1901281 · Cited by 454
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 462
Efficient estimation for the proportional hazards model with interval censoring
Huang, J. (1996) · The Annals of Statistics · doi:10.1214/aos/1032894452 · Cited by 448
Elder Self-neglect and Abuse and Mortality Risk in a Community-Dwelling Population
Dong, X. Q. (2009) · JAMA · doi:10.1001/jama.2009.1109 · Cited by 449
B, J. F. A., & Li, R. (2004) · Journal of the American Statistical Association · doi:10.1198/016214504000001060 · Cited by 437
Competing Risks and Multistate Models with R
Beyersmann, J., Allignol, A., & Schumacher, M. C. (2011) · Springer eBooks · doi:10.1007/978-1-4614-2035-4 · Cited by 439
Early menopause in long-term survivors of cancer during adolescence
Byrne, J., Fears, T. R., Gail, M. H., Pee, D., Connelly, R. R., Austin, D. F., Holmes, G. F., Holmes, F. F., Latourette, H. B., Meigs, J. W., et al. (1992) · American Journal of Obstetrics and Gynecology · doi:10.1016/0002-9378(92)91335-8 · Cited by 435
Robins, J. M., & Tsiatis, A. A. (1991) · Communications in Statistics - Theory and Methods · doi:10.1080/03610929108830654 · Cited by 423
Li, D., Liu, L., & Odouli, R. (2003) · BMJ · doi:10.1136/bmj.327.7411.368 · Cited by 431
The Analysis of Multiple Endpoints in Clinical Trials
Pocock, S. J., Geller, N. L., & Tsiatis, A. A. (1987) · Biometrics · doi:10.2307/2531989 · Cited by 524
The North American Study for the Treatment of Refractory Ascites
Sanyal, A. J., Genning, C., Reddy, K. R., Wong, F. S.-H., Kowdley, K. V., Benner, K. G., & McCashland, T. M. (2003) · Gastroenterology · doi:10.1053/gast.2003.50088 · Cited by 430
Metadata
- Authors
- Andersen, P. K., & Gill, R. D.
- ORCID
- Gill, R. D.
- Venue
- The Annals of Statistics
- Publisher
- Institute of Mathematical Statistics
- Published
- 1982-12-01
- Volume
- 10
- Issue
- 4
- Pages
- 1100-1120
- ISSN
- 0090-5364 (ISSN-L)
- 2168-8966
- OpenAlex
- W1986705681
- Cited by
- 4,419
- References
- 26
- Citations by year
- 2026: 174 · 2025: 189 · 2024: 217 · 2023: 180 · 2022: 207 · 2021: 244 · 2020: 228 · 2019: 197 · 2018: 219 · 2017: 162 · 2016: 181 · 2015: 181 · 2014: 189 · 2013: 163 · 2012: 148
- FWCI
- 20.56
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Annals of Statistics (publishedVersion)
- Project Euclid (Cornell University) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
- Keywords
- Cox regression model, counting processes, recurrent events, intensity process, censoring, time-varying covariates, martingale method, asymptotic properties, estimators
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