Partial residuals for the proportional hazards regression model

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

A General Definition of Residuals

Cox, D. R., & Snell, E. J. (1968) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1968.tb00724.x · Cited by 1,324

Chi-squared goodness-of-fit tests for the proportional hazards regression model

Schoenfeld, D. (1980) · Biometrika · doi:10.1093/biomet/67.1.145 · Cited by 493

Proportional Hazard Regression Models and the Analysis of Censored Survival Data

Kay, R. (1977) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.2307/2346962 · Cited by 279

Wei, Lin and Weissfeld's marginal analysis of multivariate failure time data

Metcalfe, C. D., & Thompson, S. G. (2007) · Statistical Methods in Medical Research · doi:10.1177/0962280206071926 · Cited by 38

Development and validation of a clinical index to predict survival after cardiac resynchronisation therapy

Leyva, F., Foley, P. W. X., Stegemann, B., Ward, J. A., Ng, L. L., Frenneaux, M. P., Regoli, F., Smith, R. E. A., & Auricchio, A. (2009) · Heart · doi:10.1136/hrt.2009.173880 · Cited by 38

Promoting Regular Mammography Screening II. Results From a Randomized Controlled Trial in US Women Veterans

Vernon, S. W., del Junco, D. J., Tiro, J. A., Coan, S. P., Perz, C. A., Bastian, L. A., Rakowski, W., Chan, W., Lairson, D. R., McQueen, A., et al. (2008) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djn026 · Cited by 38

Fat and K-ras mutations in sporadic colorectal cancer in The Netherlands Cohort Study

Brink, M. (2004) · Carcinogenesis · doi:10.1093/carcin/bgh177 · Cited by 38

Comparison of proportional hazards and accelerated failure time models

Qi, J. (2009) · University Library - University of Saskatchewan (University of Saskatchewan) · Cited by 38

Fifty Years of the Cox Model

Kalbfleisch, J. D., & Schaubel, D. E. (2022) · Annual Review of Statistics and Its Application · doi:10.1146/annurev-statistics-033021-014043 · Cited by 37

Local Cattle and Badger Populations Affect the Risk of Confirmed Tuberculosis in British Cattle Herds

Vial, F., Johnston, W. T., & Donnelly, C. A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0018058 · Cited by 37

Relation of Left Atrial Dysfunction to Ischemic Stroke in Patients With Coronary Heart Disease (from the Heart and Soul Study)

Wong, J. M., Welles, C. C., Azarbal, F., Whooley, M. A., Schiller, N. B., & Turakhia, M. P. (2014) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2014.02.021 · Cited by 36

Comparison of Long-Term Outcomes of Endovascular Management for Membranous and Segmental Inferior Vena Cava Obstruction in Patients With Primary Budd–Chiari Syndrome

Huang, Q., Shen, B., Zhang, Q., Xu, H., Zu, M., Gu, Y., Wei, N., Cui, Y., & Huang, R. (2016) · Circulation Cardiovascular Interventions · doi:10.1161/circinterventions.115.003104 · Cited by 37

Relation of Magnesium Intake With Cardiac Function and Heart Failure Hospitalizations in Black Adults

Taveira, T. H., Ouellette, D., Gulum, A. H., Choudhary, G., Eaton, C. B., Liu, S., & Wu, W. (2016) · Circulation Heart Failure · doi:10.1161/circheartfailure.115.002698 · Cited by 37

Player retention in league of legends

Demediuk, S., Murrin, A., Bulger, D. W., Hitchens, M., Drachen, A., Raffe, W. L., & Tamassia, M. (2018) · Australasian Computer Science Week Multiconference (ACSW) · doi:10.1145/3167918.3167937 · Cited by 42

Irritable bowel syndrome and Parkinson’s disease risk: register-based studies

Liu, B., Sjölander, A., Pedersen, N. L., Ludvigsson, J. F., Chen, H., Fang, F., & Wirdefeldt, K. (2021) · npj Parkinson s Disease · doi:10.1038/s41531-020-00145-8 · Cited by 37

Disparities in 5-year outcomes and imaging surveillance following elective endovascular repair of abdominal aortic aneurysm by sex, race, and ethnicity

Marcaccio, C. L., Patel, P. B., de Guerre, L. E. V. M., Wade, J. E., Rastogi, V., Anjorin, A. C., Soden, P. A., Hughes, K., Scali, S. T., Sedrakyan, A., et al. (2022) · Journal of Vascular Surgery · doi:10.1016/j.jvs.2022.03.886 · Cited by 37

Social Determinants of Mental Health Treatment among Haitian, African American, and White Youth in Community Health Centers

Carson, N. J., Cook, B., & Alegria, M. M. (2010) · Journal of Health Care for the Poor and Underserved · doi:10.1353/hpu.0.0297 · Cited by 37

Dietary Folate and Folate Vitamers and the Risk of Pancreatic Cancer in the Netherlands Cohort Study

Keszei, A. P., Verhage, B. A. J., Heinen, M. M., Goldbohm, R. A., & van den Brandt, P. A. (2009) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-08-1220 · Cited by 37

Checking hazard regression models using pseudo‐observations

Perme, M. P., & Andersen, P. K. (2008) · Statistics in Medicine · doi:10.1002/sim.3401 · Cited by 37

Bowel Movement and Constipation Frequencies and the Risk of Colorectal Cancer Among Men in the Netherlands Cohort Study on Diet and Cancer

Simons, C. C. J. M., Schouten, L. J., Weijenberg, M. P., Goldbohm, R. A., & van den Brandt, P. A. (2010) · American Journal of Epidemiology · doi:10.1093/aje/kwq307 · Cited by 37

Adaptive Regression Splines in the Cox Model

LeBlanc, M. L., & Crowley, J. J. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.00204.x · Cited by 37

Association of Weight Loss Between Early Adulthood and Midlife With All-Cause Mortality Risk in the US

Xie, W., Lundberg, D. J., Collins, J. M., Johnston, S. S., Waggoner, J. R., Hsiao, C., Preston, S. H., Manson, J. E., & Stokes, A. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.13448 · Cited by 36

Infection risk in atopic dermatitis patients treated with biologics and JAK inhibitors: BioDay results

van der Gang, L. F., Atash, K., Zuithoff, N. P. A., Haeck, I. M., Boesjes, C. M., Bacoș‐Cosma, O. I., Loman, L., Kamsteeg, M., Stadhouders‐Keet, S. A. E., Oosting, A. J., et al. (2025) · Journal of the European Academy of Dermatology and Venereology · doi:10.1111/jdv.20674 · Cited by 37

Antenatal education and breastfeeding in a cohort of primiparas

Pinedo, I. A., Paz‐Pascual, C., Gonzalo Grandes, O., Amaia Bacigalupe, H., Payo, J. H., & Montoya, I. (2012) · Journal of Advanced Nursing · doi:10.1111/jan.12022 · Cited by 36

Duration of vaccine efficacy against malaria: 5th year of follow-up in children vaccinated with RTS,S/AS02 in Mozambique

Campo, J. J., Sacarlal, J., Aponte, J. J., Aíde, P., Nhabomba, A. J., Dobaño, C., & Alonso, P. L. (2014) · Vaccine · doi:10.1016/j.vaccine.2014.02.042 · Cited by 38

Dietary methyl donors, methyl metabolizing enzymes, and epigenetic regulators: diet–gene interactions and promoter CpG island hypermethylation in colorectal cancer

de Vogel, S., Wouters, K. A. D., Gottschalk, R. W. H., van Schooten, F., de Goeij, A. F. P. M., A, A. P. D. B., Goldbohm, R. A., van den Brandt, P. A., van Engeland, M., & Weijenberg, M. P. (2010) · Cancer Causes & Control · doi:10.1007/s10552-010-9659-6 · Cited by 36

Inguinal hernia repair among men in relation to occupational mechanical exposures and lifestyle factors: a longitudinal study

Vad, M. V., Frost, P., Rosenberg, J., Andersen, J. H., & Svendsen, S. W. (2017) · Occupational and Environmental Medicine · doi:10.1136/oemed-2016-104160 · Cited by 36

Dietary Patterns and Long-Term Survival: A Retrospective Study of Healthy Primary Care Patients

Shah, N. S., Leonard, D. S., Finley, C. E., Rodríguez, F., Sarraju, A., Barlow, C. E., DeFina, L. F., Willis, B. L., Haskell, W. L., & Maron, D. J. (2017) · The American Journal of Medicine · doi:10.1016/j.amjmed.2017.08.010 · Cited by 37

Physical capability predicts mortality in late mid-life as well as in old age: Findings from a large British cohort study

Keevil, V. L., Luben, R., Hayat, S. A., Sayer, A. A., Wareham, N. J., & Khaw, K. (2017) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2017.10.001 · Cited by 36

Genome‐wide association study identifies the GLDC / IL33 locus associated with survival of osteosarcoma patients

Koster, R., Panagiotou, O. A., Wheeler, W. A., Karlins, E., Gastier, J. M., de Toledo, S. R. C., Petrilli, A. S., Flanagan, A. M., Tirabosco, R., Andrulis, I. L., et al. (2017) · International Journal of Cancer · doi:10.1002/ijc.31195 · Cited by 37

Visual Acuity in Late Adolescence and Future Psychosis Risk in a Cohort of 1 Million Men

Hayes, J., Picot, S., Osborn, D., Lewis, G., Dalman, C., & Lundin, A. (2018) · Schizophrenia Bulletin · doi:10.1093/schbul/sby084 · Cited by 38

Preoperative plasma fatty acid metabolites inform risk of prostate cancer progression and may be used for personalized patient stratification

Zoni, E., Minoli, M., Bovet, C., Wehrhan, A., Piscuoglio, S., Ng, C. K. Y., Gray, P. C., Spahn, M., Thalmann, G. N., & Julio, M. K. (2019) · BMC Cancer · doi:10.1186/s12885-019-6418-2 · Cited by 36

Bleeding in patients with sickle cell disease: a population-based study

Hariharan, N., Brunson, A. M., Mahajan, A., Keegan, T. H. M., & Wun, T. (2020) · Blood Advances · doi:10.1182/bloodadvances.2019000940 · Cited by 36

Leisure activities and disability in activities of daily living among the oldest-old Chinese population: evidence from the Chinese Longitudinal Healthy Longevity Study

Li, Z., Chen, Q., Kraus, V. B., Shen, D., Zhang, X., Zhang, P., Zhong, W.-F., Lv, Y., Huang, Q., Song, W.-Q., et al. (2020) · Aging · doi:10.18632/aging.103287 · Cited by 36

Model-based comorbidity clusters in patients with heart failure: association with clinical outcomes and healthcare utilization

Gulea, C., Zakeri, R., & Quint, J. K. (2021) · BMC Medicine · doi:10.1186/s12916-020-01881-7 · Cited by 36

Circulating Soluble CD163, Associations With Cardiovascular Outcomes and Mortality, and Identification of Genetic Variants in Older Individuals: The Cardiovascular Health Study

Durda, P., Raffield, L. M., Lange, E. M., Olson, N. C., Jenny, N. S., Cushman, M., Deichgræber, P., Grarup, N., Jonsson, A. E., Hansen, T. F., et al. (2022) · Journal of the American Heart Association · doi:10.1161/jaha.121.024374 · Cited by 38

Dietary intake of iron, heme‐iron and magnesium and pancreatic cancer risk in the European prospective investigation into cancer and nutrition cohort

Molina‐Montes, E., Wark, P. A., Sánchez, M., Norat, T., Jakszyn, P. G., Luján‐Barroso, L., Michaud, D. S., Crowe, F. L., Allen, N. E., Khaw, K., et al. (2012) · International Journal of Cancer · doi:10.1002/ijc.27547 · Cited by 36

Alcohol and ovarian cancer risk: results from the Netherlands Cohort Study

Schouten, L. J., Zeegers, M. P., Goldbohm, R. A., & van den Brandt, P. A. (2004) · Cancer Causes & Control · doi:10.1023/b:caco.0000019512.71560.2b · Cited by 36

Cigarette smoking and KRAS oncogene mutations in sporadic colorectal cancer: Results from the Netherlands Cohort Study

Weijenberg, M. P., Aardening, P. W., de Kok, T. M. C. M., de Goeij, A. F. P. M., & van den Brandt, P. A. (2008) · Mutation Research/Genetic Toxicology and Environmental Mutagenesis · doi:10.1016/j.mrgentox.2007.12.008 · Cited by 36

Association between Fruit and Vegetable Consumption and Risk of Hypertension in Middle-Aged and Older Korean Adults

Kim, J., & Kim, J. (2017) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2017.08.122 · Cited by 36

Proportional hazards modelling of repairable systems

Kumar, D. (1995) · Quality and Reliability Engineering International · doi:10.1002/qre.4680110507 · Cited by 36

Adipose tissue radiodensity and mortality among patients with nonmetastatic breast cancer

Cheng, E., Caan, B. J., Chen, W. Y., Irwin, M. L., Prado, C. M. M., & Feliciano, E. M. C. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2022.09.016 · Cited by 35

Risk and Epidemiology of Periprosthetic Knee Fractures After Primary Total Knee Arthroplasty: A Nationwide Cohort Study

Risager, S. K., Arndt, K. B., Abrahamsen, C. S., Viberg, B., Odgaard, A., & Lindberg‐Larsen, M. (2024) · The Journal of Arthroplasty · doi:10.1016/j.arth.2024.05.033 · Cited by 37

Risk of stillbirth in relation to maternal haemoglobin concentration during pregnancy

Tomashek, K. M., Ananth, C. V., & Cogswell, M. E. (2005) · Maternal and Child Nutrition · doi:10.1111/j.1740-8709.2006.00044.x · Cited by 35

Clinical impact of small subclones harboring NOTCH1 , SF3B1 or BIRC3 mutations in chronic lymphocytic leukemia

Rasi, S., Khiabanian, H., Ciardullo, C., di Bergamo, L. T., Monti, S. M., Spina, V., Bruscaggin, A., Cerri, M., Deambrogi, C., Martuscelli, L., et al. (2016) · Haematologica · doi:10.3324/haematol.2015.136051 · Cited by 35

Changes in leisure time physical activity and subsequent disability retirement: A register-linked cohort study

Lahti, J., Holstila, A., Mänty, M., Lahelma, E. T., & Rahkonen, O. (2016) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-016-0426-2 · Cited by 37

A National Study of Survival Trends and Conditional Survival in Nasopharyngeal Carcinoma: Analysis of the National Population-Based Surveillance Epidemiology and End Results Registry

Lv, J.-W., Huang, X.-D., Chen, Y., Zhou, G., Tang, L., Mao, Y., Li, W., Lin, A.-H., Ma, J., & Sun, Y. H. (2017) · Cancer Research and Treatment · doi:10.4143/crt.2016.544 · Cited by 35

Time Series Forecasting for Healthcare Diagnosis and Prognostics with the Focus on Cardiovascular Diseases

Bui, C., Pham, N., Vo, A. T. N., Tran, A., Nguyen, A., & Le, T. (2017) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-981-10-4361-1_138 · Cited by 35

Dietary patterns and prostate cancer risk in Japanese: the Japan Public Health Center-based Prospective Study (JPHC Study)

the JPHC Study Group, Shin, S., Saito, E., Sawada, N., Ishihara, J., Takachi, R., Nanri, A., Shimazu, T., Yamaji, T., Iwasaki, M., et al. (2018) · Cancer Causes & Control · doi:10.1007/s10552-018-1030-3 · Cited by 35

Unraveling the Association Between Gait and Mortality—One Step at a Time

Dommershuijsen, L. J., Isik, B. M., Darweesh, S. K. L., van der Geest, J. N., Ikram, M. K., & Ikram, M. A. (2019) · The Journals of Gerontology Series A · doi:10.1093/gerona/glz282 · Cited by 35

The DANish Comorbidity Index for Acute Myocardial Infarction (DANCAMI): Development, Validation and Comparison with Existing Comorbidity Indices

Albertsen, L. W., Heide‐Jørgensen, U., Schmidt, S. A. J., Grey, C., Jackson, R., Sørensen, H. T., & Schmidt, M. (2020) · Clinical Epidemiology · doi:10.2147/clep.s277325 · Cited by 36

Cause of Death Among Patients With Peripheral Artery Disease

Kochar, A., Mulder, H. S., Rockhold, F. W., Baumgärtner, I., Berger, J. S., Blomster, J., Fowkes, F. G. R., Katona, B. G., Lópes, R. D., Al‐Khalidi, H. R., et al. (2020) · Circulation Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.120.006550 · Cited by 37

Association of SARS-CoV-2 BA.4/BA.5 Omicron lineages with immune escape and clinical outcome

Lewnard, J. A., Hong, V. X., Kim, J. S., Shaw, S. F., Lewin, B. J., Takhar, H. S., & Tartof, S. Y. (2023) · Nature Communications · doi:10.1038/s41467-023-37051-5 · Cited by 33

Survival After Adjuvant Oophorectomy and Tamoxifen in Operable Breast Cancer in Premenopausal Women

Love, R. R., Định, N. V., Quy, T. T., Linh, N. D., Tung, N. D., Shen, T.-Z., Hade, E. M., Young, G. S., & Jarjoura, D. G. (2007) · Journal of Clinical Oncology · doi:10.1200/jco.2007.11.6061 · Cited by 35

Risk factors for out-of-hospital cardiac arrest: the Reykjavik Study

Thorgeirsson, G., Thorgeirsson, G., Sigvaldason, H., & Witteman, J. C. M. (2005) · European Heart Journal · doi:10.1093/eurheartj/ehi179 · Cited by 35

Epidemiology and Outcomes of Nontuberculous Mycobacterial Infections in Solid Organ Transplant Recipients at a Midwestern Center

George, I. A., Santos, C. A. Q., Olsen, M. A. A., & Bailey, T. C. (2016) · Transplantation · doi:10.1097/tp.0000000000001123 · Cited by 35

Antihypertensive Therapy and Incidence of Type 2 Diabetes in an Elderly Cohort

Padwal, R. S., Mamdani, M., Alter, D. A., Hux, J. E., Rothwell, D. M., Tu, K., & Laupacis, A. (2004) · Diabetes Care · doi:10.2337/diacare.27.10.2458 · Cited by 35

Glycemic control and the risk of multiple microvascular diabetic complications.

Schellhase, K. G., Koepsell, T. D., & Weiss, N. S. (2005) · PubMed · Cited by 34

Prediction of short‐term survival with an application in primary biliary cirrhosis

Hughes, M. D., Raskino, C., Pocock, S., Biagini, M. R., & Burroughs, A. K. (1992) · Statistics in Medicine · doi:10.1002/sim.4780111307 · Cited by 34

A new nomogram for estimating survival in patients with brain metastases secondary to colorectal cancer

Pietrantonio, F., Aprile, G., Rimassa, L., Franco, P., Lonardi, S., Cremolini, C., Biondani, P., Sbicego, E. L., Pasqualetti, F., Tomasello, G., et al. (2015) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2015.08.023 · Cited by 35

Chromosome 9p21 Haplotypes and Prognosis in White and Black Patients With Coronary Artery Disease

Gong, Y., Beitelshees, A. L., Cooper‐DeHoff, R. M., Lobmeyer, M. T., Langaee, T. Y., Wu, J., Cresci, S., Province, M. A., Spertus, J. A., Pepine, C. J., et al. (2011) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.110.959296 · Cited by 34

Graphical Comparison of Cumulative Hazards for Two Populations

DABROWSKA, D. M., Doksum, K. A., & Song, J.-K. (1989) · Biometrika · doi:10.1093/biomet/76.4.763 · Cited by 34

Retinopathy and CKD as Predictors of All-Cause and Cardiovascular Mortality: National Health and Nutrition Examination Survey (NHANES) 1988-1994

Ricardo, A. C., Grunwald, J. E., Parvathaneni, S., Goodin, S., Ching, A., & Lash, J. P. (2014) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2014.01.437 · Cited by 34

Subjective measures of health and all-cause mortality – the Rotterdam Study

Sajjad, A., Freak‐Poli, R., Albert Hofman, D., Roza, S. J., Ikram, M. A., & Tiemeier, H. W. (2017) · Psychological Medicine · doi:10.1017/s0033291717000381 · Cited by 34

Genomic Rearrangement Signatures and Clinical Outcomes in High-Grade Serous Ovarian Cancer

Hillman, R. T., Chisholm, G. B., Lu, K. H., & Futreal, P. A. (2017) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djx176 · Cited by 34

Mediterranean dietary pattern and skin cancer risk: A prospective cohort study in French women

Mahamat‐Saleh, Y., Cervenka, I., Rahmoun, M. A., Savoye, I., Mancini, F. R., Trichopoulou, A., Boutron‐Ruault, M., & Kvaskoff, M. (2019) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqz173 · Cited by 35

Optimism and risk of incident hypertension: a target for primordial prevention

Kubzansky, L., Boehm, J. K., Allen, A. R., Vie, L. L., Ho, T. E., Trudel-Fitzgerald, C., Koga, H. K., Scheier, L., & Seligman, M. (2020) · Epidemiology and Psychiatric Sciences · doi:10.1017/s2045796020000621 · Cited by 25

The TIRS trial: protocol for a cluster randomized controlled trial assessing the efficacy of preventive targeted indoor residual spraying to reduce Aedes-borne viral illnesses in Merida, Mexico

Manrique-Saide, P. C., Dean, N. E., Halloran, M. E., Longini, I. M., Collins, M. H., Waller, L. A., Gómez‐Dantés, H., Lenhart, A. E., Hladish, T. J., Che‐Mendoza, A., et al. (2020) · Trials · doi:10.1186/s13063-020-04780-7 · Cited by 34

Specialization as a double‐edged sword: The relationship of scientist specialization with R&D productivity and impact following collaborator change

Jain, A., & Mitchell, W. (2021) · Strategic Management Journal · doi:10.1002/smj.3357 · Cited by 34

Population-wide cohort study of statin use for the secondary cardiovascular disease prevention in Scotland in 2009–2017

Thalmann, I., Preiss, D., Schlackow, I., Gray, A. M., & Mihaylova, B. (2022) · Heart · doi:10.1136/heartjnl-2022-321452 · Cited by 36

Serum Folate and Cancer Mortality Among U.S. Adults: Findings from the Third National Health and Nutritional Examination Survey Linked Mortality File

Yang, Q., Bostick, R. M., Friedman, J. M., & Flanders, W. D. (2009) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-08-0908 · Cited by 34

CLIPI: a new prognostic index for indolent cutaneous B cell lymphoma proposed by the International Extranodal Lymphoma Study Group (IELSG 11)

Mian, M., Marcheselli, L., Luminari, S., Federico, M., Cantonetti, M., Sarris, A. H., Rossi, A., Rambaldi, A., Frontani, M., Devizzi, L. F., et al. (2010) · Annals of Hematology · doi:10.1007/s00277-010-1083-1 · Cited by 34

Hypertension, antihypertensives and mutations in the Von Hippel–Lindau gene in renal cell carcinoma: results from the Netherlands Cohort Study

Schouten, L. J., van Dijk, B. A. C., Oosterwijk, E., de Kaa, C. A. H., Kiemeney, L. A. L. M., Goldbohm, R. A., Schalken, J. A., & van den Brandt, P. A. (2005) · Journal of Hypertension · doi:10.1097/01.hjh.0000186023.74245.48 · Cited by 34

Mortality among Parkinson's disease patients treated with pimavanserin or atypical antipsychotics: an observational study in Medicare beneficiaries

Mosholder, A. D., Ma, Y., Akhtar, S., Podskalny, G. D., Feng, Y., Lyu, H., Liao, J., Wei, Y., Wernecke, M., Leishear, K., et al. (2022) · American Journal of Psychiatry · doi:10.1176/appi.ajp.21090876 · Cited by 33

Association of regular glucosamine use with incident dementia: evidence from a longitudinal cohort and Mendelian randomization study

Zheng, J., Ni, C., Zhang, Y., Huang, J., Hukportie, D. N., Liang, B., & Tang, S. (2023) · BMC Medicine · doi:10.1186/s12916-023-02816-8 · Cited by 33

Mortality in incident dementia – results from the German Study on Aging, Cognition, and Dementia in Primary Care Patients

Röhr, S., Luck, T., Bickel, H., Brettschneider, C., Ernst, A., Fuchs, A., Heser, K., König, H. ‐., Jessen, F., Lange, C., et al. (2015) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12454 · Cited by 33

Consumption of vegetables and fruits and risk of subtypes of head–neck cancer in the N etherlands C ohort S tudy

Maasland, D. H. E., van den Brandt, P. A., Kremer, B., Goldbohm, R. A., & Schouten, L. J. (2014) · International Journal of Cancer · doi:10.1002/ijc.29219 · Cited by 33

Occupational Therapy for Patients With Acute Lung Injury: Factors Associated With Time to First Intervention in the Intensive Care Unit

Dinglas, V. D., Colantuoni, E., Ciesla, N. D., Méndez-Téllez, P. A., Shanholtz, C. B., & Needham, D. M. (2013) · American Journal of Occupational Therapy · doi:10.5014/ajot.2013.007807 · Cited by 33

Incidence and risk factors for central nervous system relapse in patients with diffuse large B-cell lymphoma: analyses with competing risk regression model

Chihara, D., Oki, Y., Matsuo, K., Onoda, H., Taji, H., Yamamoto, K., & Morishima, Y. (2011) · Leukemia & lymphoma/Leukemia and lymphoma · doi:10.3109/10428194.2011.596966 · Cited by 33

The Prognostic Value of Mitotic Activity Index (MAI), Phosphohistone H3 (PPH3), Cyclin B1, Cyclin A, and Ki67, Alone and in Combinations, in Node-Negative Premenopausal Breast Cancer

Klintman, M., Strand, C., Ahlin, C., Beglerbegovic, S., Fjällskog, M.-L., Grabau, D. A., Gudlaugsson, E. G., Janssen, E. A. M., Lövgren, K., Skaland, I., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0081902 · Cited by 33

Vegetable, fruit and nitrate intake in relation to the risk of Barrett's oesophagus in a large Dutch cohort

Keszei, A. P., Schouten, L. J., Driessen, A. L. C., Huysentruyt, C. J. R., Keulemans, Y. C. A., Goldbohm, R. A., & van den Brandt, P. A. (2013) · British Journal Of Nutrition · doi:10.1017/s0007114513003929 · Cited by 33

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Hughes, M. M., Katz, J., Englund, J. A., Khatry, S. K., Shrestha, L., LeClerq, S. C., Steinhoff, M. C., & Tielsch, J. M. (2016) · Vaccine · doi:10.1016/j.vaccine.2015.12.061 · Cited by 33

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Vazir, A., Claggett, B. L., Pitt, B., Anand, I. S., Sweitzer, N. K., Fang, J. C.-T., Fleg, J. L., Rouleau, J. L., Shah, S. J., Pfeffer, M. A., et al. (2017) · JACC Heart Failure · doi:10.1016/j.jchf.2017.08.018 · Cited by 33

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Harahsheh, Y., Duff, O., & Ho, K. M. (2019) · Critical Care Medicine · doi:10.1097/ccm.0000000000003730 · Cited by 33

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Atkinson, A., Kenward, M. G., Clayton, T. C., & Carpenter, J. R. (2019) · Pharmaceutical Statistics · doi:10.1002/pst.1954 · Cited by 33

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LaMonte, M. J., Gordon, J. H., Diaz‐Moreno, P., Andrews, C. A., Shimbo, D., Hovey, K. M., Buck, M. J., & Wactawski‐Wende, J. (2022) · Journal of the American Heart Association · doi:10.1161/jaha.121.021930 · Cited by 35

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Goodman, M. T., Shvetsov, Y. B., McDuffie, K., Wilkens, L. R., Zhu, X., Franke, A. A., Bertram, C. C., Kessel, B., Bernice, M., Sunoo, C., et al. (2007) · Cancer Research · doi:10.1158/0008-5472.can-07-0313 · Cited by 33

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Yee, J. L., & Niemeier, D. (2000) · Transportation Research Part A Policy and Practice · doi:10.1016/s0965-8564(99)00044-0 · Cited by 33

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Ovadia, O. (2003) · Behavioral Ecology · doi:10.1093/beheco/arg031 · Cited by 33

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Singer, J. D., & Willett, J. B. (2003) · doi:10.1093/acprof:oso/9780195152968.003.0004 · Cited by 33

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Moonen, L. M. F., van der Voet, H., de Nijs, R., Hart, A. A. M., Horenblas, S., & Bartelink, H. G. M. M. (1998) · Radiotherapy and Oncology · doi:10.1016/s0167-8140(98)00089-9 · Cited by 33

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Gail, M. H. (1991) · Statistics in Medicine · doi:10.1002/sim.4780101204 · Cited by 33

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McKinney, P. A., Feltbower, R. G., Parslow, R. C., Lewis, I. J., Picton, S. V., Kinsey, S. E., & Bailey, C. C. (1999) · European Journal of Cancer · doi:10.1016/s0959-8049(99)00173-2 · Cited by 33

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Ramsay, S. E., Morris, R. W., Whincup, P. H., Papacosta, O., Rumley, A., LENNON, L. T., Lowe, G. D. O., & Wannamethee, S. G. (2009) · Journal of Thrombosis and Haemostasis · doi:10.1111/j.1538-7836.2009.03602.x · Cited by 35

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Lahti, J., Lallukka, T. M., Lahelma, E. T., & Rahkonen, O. (2013) · Preventive Medicine · doi:10.1016/j.ypmed.2013.05.019 · Cited by 34

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Kara, K., Mahabadi, A. A., Geisel, M. H., Lehmann, N., Kälsch, H., Bauer, M., Neumann, T., Dragano, N., Moebus, S., Möhlenkamp, S., et al. (2013) · Clinical Research in Cardiology · doi:10.1007/s00392-013-0628-4 · Cited by 32

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Obón‐Santacana, M., Slimani, N., Luján‐Barroso, L., Travier, N., Hallmans, G., Freisling, H., Ferrari, P., Boutron‐Ruault, M., Racine, A., Clavel‐Chapelon, F., et al. (2013) · Annals of Oncology · doi:10.1093/annonc/mdt255 · Cited by 33

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Taylor, K. L., Beck, J. L., & Huzurbazar, S. V. (2016) · Rangeland Ecology & Management · doi:10.1016/j.rama.2015.12.003 · Cited by 32

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Fortuna, L. R., Cook, B. L., Porche, M. V. M., Wang, Y., Caruso, A. A., & Alegria, M. M. (2018) · Sleep Medicine · doi:10.1016/j.sleep.2017.12.009 · Cited by 32

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Sastry, R. A., Shankar, G. M., Gerstner, E. R., & Curry, W. T. (2018) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2018.04.004 · Cited by 33

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Tsubouchi, Y., Tanabe, A., Saito, Y., Noma, H., & Maegaki, Y. (2019) · Developmental Medicine & Child Neurology · doi:10.1111/dmcn.14188 · Cited by 32

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Spanakis, E. K., Kourkoumpetis, T. K., Livanis, G., Peleg, A. Y., & Mylonakis, E. (2010) · Mayo Clinic Proceedings · doi:10.4065/mcp.2010.0447 · Cited by 31

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Rosenau, C., Köhler, S., van Boxtel, M., Tange, H., & Deckers, K. (2024) · Journal of Alzheimer's Disease · doi:10.3233/jad-240666 · Cited by 28

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Sasieni, P. D. (2003) · Biometrika · doi:10.1093/biomet/90.4.899 · Cited by 17

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Perme, M. P., Stare, J., & Henderson, R. (2015)

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Henderson, R., & Milner, A. D. (1991) · Biometrika · doi:10.1093/biomet/78.3.631 · Cited by 12

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Verweij, P. J. M., van Houwelingen, H. C., & Stijnen, T. (1998) · Biometrics · doi:10.2307/2533676 · Cited by 19

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;; (2002) · Korean Journal of Applied Statistics · doi:10.5351/kjas.2002.15.2.233