Modeling Survival Data: Extending the Cox Model

Telomerase is an independent prognostic marker of overall survival in patients with colorectal cancer

Bertorelle, R., Briarava, M., Rampazzo, E., Biasini, L., Agostini, M., Maretto, I., Lonardi, S., Friso, M. L., Mescoli, C., Zagonel, V, et al. (2013) · British Journal of Cancer · doi:10.1038/bjc.2012.602 · Cited by 77

A Randomized Controlled Pilot Trial of Azithromycin or Artesunate Added to Sulfadoxine-Pyrimethamine as Treatment for Malaria in Pregnant Women

Kalilani, L., Mofolo, I., Chaponda, M., Rogerson, S. J., Alker, A. P., Kwiek, J. J., & Meshnick, S. R. (2007) · PLoS ONE · doi:10.1371/journal.pone.0001166 · Cited by 75

Rapamycin Increases Mortality in db/db Mice, a Mouse Model of Type 2 Diabetes

Sataranatarajan, K., Ikeno, Y., Bokov, A., Feliers, D., Yalamanchili, H., Lee, H. J., Mariappan, M. M., Tabatabai-Mir, H., Diaz, V., Prasad, S., et al. (2016) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glv170 · Cited by 65

Exposure to Antidepressant Medication and the Risk of Incident Dementia

Kodesh, A., Sandin, S., Reichenberg, A., Rotstein, A., Pedersen, N. L., Ericsson, M., Karlsson, I. K., Davidson, M., & Levine, S. Z. (2019) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2019.05.019 · Cited by 63

Mediation of the effect of glycemia on the risk of CVD outcomes in type 1 diabetes: the DCCT/EDIC study

Bebu, I., Braffett, B. H., Orchard, T. J., Lorenzi, G. M., Lachin, J. M., & the DCCT/EDIC Research Group (2019) · Diabetes Care · doi:10.2337/dc18-1613 · Cited by 62

Practice type effects on head impact in collegiate football

Reynolds, B. B., Patrie, J., Henry, E. J., Goodkin, H. P., Broshek, D. K., Wintermark, M., & Druzgal, T. J. (2016) · Journal of neurosurgery · doi:10.3171/2015.5.jns15573 · Cited by 61

Baseline and long-term fibrinogen levels and risk of sudden cardiac death: A new prospective study and meta-analysis

Kunutsor, S. K., Kurl, S., Zaccardi, F., & Laukkanen, J. A. (2016) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2015.12.020 · Cited by 58

Early prediction of ICU readmissions using classification algorithms

Loreto, M., Lisboa, T., & Moreira, V. P. (2020) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2020.103636 · Cited by 53

Multivitamins in the prevention of cancer and cardiovascular disease: the COcoa Supplement and Multivitamin Outcomes Study (COSMOS) randomized clinical trial

Sesso, H. D., Rist, P. M., Aragaki, A. K., Rautiainen, S., Johnson, L. G., Friedenberg, G., Copeland, T., Clar, A., Mora, S., Moorthy, M. V., et al. (2022) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqac056 · Cited by 51

Childhood cancer risks estimates following CT scans: an update of the French CT cohort study

Foucault, A., Ancelet, S., Dreuil, S., Caër-Lorho, S., Ducou Le Pointe, H., Brisse, H., Chateil, J.-F., Lee, C., Leuraud, K., & Bernier, M.-O. (2022) · European Radiology · doi:10.1007/s00330-022-08602-z · Cited by 39

Conclusion about the association between valve surgery and mortality in an infective endocarditis cohort changed after adjusting for survivor bias

Tleyjeh, I. M., Ghomrawi, H. M. K., Steckelberg, J. M., Montori, V. M., Hoskin, T. L., Enders, F., Huskins, W. C., Mookadam, F., Wilson, W. R., Zimmerman, V., et al. (2010) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2008.06.022 · Cited by 35

An integrated functional and clinical genomics approach reveals genes driving aggressive metastatic prostate cancer

Das, R., Sjöström, M., Shrestha, R., Yogodzinski, C., Egusa, E. A., Chesner, L. N., Chen, W. S., Chou, J., Dang, D. K., Swinderman, J. T., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-24919-7 · Cited by 38

Mapping Outflowing Gas in the Fermi Bubbles: A UV Absorption Survey of the Galactic Nuclear Wind*

Ashley, T., Fox, A. J., Jenkins, E. B., Wakker, B. P., Bordoloi, R., Lockman, F. J., Savage, B. D., & Karim, T. (2020) · The Astrophysical Journal · doi:10.3847/1538-4357/ab9ff8 · Cited by 35

Modeling multi-level survival data in multi-center epidemiological cohort studies: Applications from the ELAPSE project

Samoli, E., Rodopoulou, S., Hvidtfeldt, U. A., Wolf, K., Stafoggia, M., Brunekreef, B., Strak, M., Chen, J., Andersen, Z. J., Atkinson, R., et al. (2021) · Environment International · doi:10.1016/j.envint.2020.106371 · Cited by 33

Sample size and predictive performance of machine learning methods with survival data: A simulation study

Infante, G., Miceli, R., & Ambrogi, F. (2023) · Statistics in Medicine · doi:10.1002/sim.9931 · Cited by 33

Obsessive–compulsive disorder and the risk of subsequent mental disorders: A community study of adolescents and young adults

Hofer, P. D., Wahl, K., Meyer, A. H., Miché, M., Beesdo-Baum, K., Wong, S. F., Grisham, J. R., Wittchen, H.-U., & Lieb, R. (2018) · Depression and Anxiety · doi:10.1002/da.22733 · Cited by 32

Fertility after recurrent miscarriages: results of an observational cohort study

Kling, C., Hedderich, J., & Kabelitz, D. (2018) · Archives of Gynecology and Obstetrics · doi:10.1007/s00404-017-4532-4 · Cited by 31

Association of SPI1 haplotypes with altered SPI1 gene expression and Alzheimer’s disease risk

Cao, H., Initiative, A. D. N., Zhou, X., Chen, Y., Ip, F. C. F., Chen, Y., Lai, N. C. H., Lo, R. M. N., Tong, E. P. S., Mok, V. C. T., et al. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215311 · Cited by 28

Exposure to genocide and the risk of schizophrenia: a population-based study.

Levine, S. Z., Levav, I., Goldberg, Y., Pugachova, I., Becher, Y., & Yoffe, R. (2016) · Psychological Medicine · doi:10.1017/s0033291715002354 · Cited by 28

The effects of personality and metacognitive beliefs on cognitive training adherence and performance

Double, K. S., & Birney, D. P. (2016) · Personality and Individual Differences · doi:10.1016/j.paid.2016.04.101 · Cited by 29

No CFH or ARMS2 Interaction with Omega-3 Fatty Acids, Low versus High Zinc, or β-Carotene versus Lutein and Zeaxanthin on Progression of Age-Related Macular Degeneration in the Age-Related Eye Disease Study 2

van Asten, F., Chiu, C.-Y., Agrón, E., Clemons, T. E., Ratnapriya, R., Swaroop, A., Klein, M. L., Fan, R., & Chew, E. Y. (2019) · Ophthalmology · doi:10.1016/j.ophtha.2019.06.004 · Cited by 27

Mortality and morbidity of heart failure treated with digoxin. A propensity-matched study: Digoxin and heart failure

Andrey, J. L., Romero, S., García-Egido, A., Escobar, M. A., Corzo, R., Garcia-Dominguez, G., Lechuga, V., & Gómez, F. (2011) · International Journal of Clinical Practice · doi:10.1111/j.1742-1241.2011.02771.x · Cited by 27

Development and Validation of a Machine Learning Wrist-worn Step Detection Algorithm with Deployment in the UK Biobank

Small, S. R., Chan, S., Walmsley, R., Fritsch, L. V., Acquah, A., Mertes, G., Feakins, B. G., Creagh, A., Strange, A., Matthews, C. E., et al. (2023) · doi:10.1101/2023.02.20.23285750 · Cited by 22

Comprehensive cross-sectional and longitudinal comparisons of plasma glial fibrillary acidic protein and neurofilament light across FTD spectrum disorders

Sheth, U., Öijerstedt, L., Heckman, M. G., White, L. J., Heuer, H. W., Lario Lago, A., Forsberg, L. K., Faber, K. M., Foroud, T. M., Rademakers, R., et al. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00821-4 · Cited by 20

Where have they been? Service use of regular substance users with and without abuse and dependence

Perkonigg, A., Settele, A., Pfister, H., Höfler, M., Fröhlich, C., Zimmermann, P., Lieb, R., & Wittchen, H.-U. (2006) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-006-0044-4 · Cited by 20

Racial Bias Can Confuse AI for Genomic Studies

Dai, B., Xu, Z., Li, H., Wang, B., Cai, J., & Liu, X. (2022) · Oncologie · doi:10.32604/oncologie.2022.020259 · Cited by 18

High Central Venous Pressure after Cardiac Surgery Might Depict Hemodynamic Deterioration Associated with Increased Morbidity and Mortality

Schiefenhövel, F., Trauzeddel, R. F., Sander, M., Heringlake, M., Groesdonk, H. V., Grubitzsch, H., Kruppa, J., Berger, C., Treskatsch, S., & Balzer, F. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10173945 · Cited by 19

Static and treatment-responsive brain biomarkers of depression relapse vulnerability following prophylactic psychotherapy: Evidence from a randomized control trial

Farb, N. A. S., Desormeau, P., Anderson, A. K., & Segal, Z. V. (2022) · NeuroImage: Clinical · doi:10.1016/j.nicl.2022.102969 · Cited by 16

Dual RNAseq highlights the kinetics of skin microbiome and fish host responsiveness to bacterial infection

Le Luyer, J., Schull, Q., Auffret, P., Lopez, P., Crusot, M., Belliard, C., Basset, C., Carradec, Q., Poulain, J., Planes, S., et al. (2021) · Animal Microbiome · doi:10.1186/s42523-021-00097-1 · Cited by 16

BNT162b2 vaccine effectiveness was marginally affected by the SARS-CoV-2 beta variant in fully vaccinated individuals

Mor, O., Zuckerman, N. S., Hazan, I., Fluss, R., Ash, N., Ginish, N., Mendelson, E., Alroy-Preis, S., Freedman, L., & Huppert, A. (2022) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2021.10.011 · Cited by 13

Does personality mediate the relation between alcohol consumption and cardiovascular disease morbidity and mortality?

Murray, R. P., Barnes, G. E., & Ekuma, O. (2005) · Addictive Behaviors · doi:10.1016/j.addbeh.2004.06.017 · Cited by 11

HDL Cholesterol Is Remarkably Cardioprotective Against Coronary Artery Disease in Native Hawaiians and Pacific Islanders

Szatrowski, A., Maggio, Z., & Khomtchouk, B. (2025) · JACC: Advances · doi:10.1016/j.jacadv.2025.101741 · Cited by 4

Modeling survival data : extending the cox model : with 80 illustrations

Therneau, T. M., & Grambsch, P. M. (2010) · Springer eBooks · Cited by 1

Survival Analysis: A Practical Approach.

Smith, P. J., Parmar, M., & David, M. (1996) · Journal of the American Statistical Association · doi:10.2307/2291609 · Cited by 737

Reviews of Cox Model and Its Extensions

Zhao, X. (2010) · Jiangnan daxue xuebao. Ziran kexue ban

Introduction: Several Classical Data Examples for Survival Analysis

Nikulin, M., & Wu, H. I. (2016) · SpringerBriefs in statistics · doi:10.1007/978-3-662-49332-8_1

Cox Proportional Hazards Model

(2011) · Springer eBooks · doi:10.1007/978-3-642-16483-5_1357