Aspects of the use of relative risk models in the design and analysis of cohort studies and prevention trials

Regression Models and Life-Tables

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Regression Models and Life-Tables

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Longitudinal data analysis using generalized linear models

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Longitudinal Data Analysis for Discrete and Continuous Outcomes

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Cox’s regression model for counting processes: A large sample study

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Partial Likelihood

Cox, D. R. (1975) · Biometrika · doi:10.1093/biomet/62.2.269 · Cited by 2,366 · see citing works

Nonparametric Inference for a Family of Counting Processes

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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 · see citing works

Covariate Measurement Errors and Parameter Estimation in a Failure Time Regression Model

Prentice, R. L. (1982) · Biometrika · doi:10.1093/biomet/69.2.331 · Cited by 672 · see citing works

Multiplicative Models and Cohort Analysis

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Biased Selection of Controls for Case-Control Analyses of Cohort Studies

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Methods of Cohort Analysis: Appraisal by Application to Asbestos Mining

Liddell, F. D. K., McDonald, J. C., Thomas, D. C., & Cunliffe, S. V. (1977) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2345280 · Cited by 339 · see citing works

Asymptotic Distribution Theory and Efficiency Results for Case-Cohort Studies

Self, S. G., & Prentice, R. L. (1988) · The Annals of Statistics · doi:10.1214/aos/1176350691 · Cited by 311 · see citing works

Modern statistical methods in chronic disease epidemiology

Janardan, K. G. (1987) · Mathematical Biosciences · doi:10.1016/0025-5564(87)90067-8 · Cited by 223 · see citing works

On The Epidemiology of Oral Contraceptives and Disease

Prentice, R. L., & Thomas, D. B. (1987) · Advances in cancer research · doi:10.1016/s0065-230x(08)60801-5 · Cited by 165 · see citing works

Survival Times: Aspects of Partial Likelihood

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Asymptotic Distribution Theory for Cox-Type Regression Models with General Relative Risk Form

Prentice, R. L., & Self, S. G. (1983) · The Annals of Statistics · doi:10.1214/aos/1176346247 · Cited by 118 · see citing works

On the Design of Synthetic Case-Control Studies

Prentice, R. L. (1986) · Biometrics · doi:10.2307/2531051 · Cited by 92 · see citing works

On the Application of Linear Relative Risk Regression Models

Prentice, R. L., & Mason, M. W. (1986) · Biometrics · doi:10.2307/2531247 · Cited by 52 · see citing works

SERIAL BLOOD PRESSURE MEASUREMENTS AND CARDIOVASCULAR DISEASE IN A JAPANESE COHORT

Prentice, R. L., Shimizu, Y., Lin, C. H., Peterson, A. V., Kato, H., Mason, M. W., & Szatrowski, T. P. (1982) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a113384 · Cited by 43 · see citing works

ON THE ABILITY OF BLOOD PRESSURE EFFECTS TO EXPLAIN THE RELATION BETWEEN ORAL CONTRACEPTIVES AND CARDIOVASCULAR DISEASE

Prentice, R. L. (1988) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114797 · Cited by 33 · see citing works

REGRESSION ANALYSIS OF CHANGES IN BLOOD PRESSURE WITH ORAL CONTRACEPTIVE USE1

Cook, N. R., Scherr, P. A., Evans, D. A., Laughlin, L. W., Chapman, W. G., ROSNER, B. A., Kass, E. H., Taylor, J. O., & Hennekens, C. H. (1985) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114030 · Cited by 20 · see citing works

Conducting Real-world Evidence Studies on the Clinical Outcomes of Diabetes Treatments

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Amino acids, lipid metabolites, and ferritin as potential mediators linking red meat consumption to type 2 diabetes

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Association of the odd-chain fatty acid content in lipid groups with type 2 diabetes risk: A targeted analysis of lipidomics data in the EPIC-Potsdam cohort

Prada, M., Wittenbecher, C., Eichelmann, F., Wernitz, A., Drouin‐Chartier, J., & Schulze, M. B. (2021) · Clinical Nutrition · doi:10.1016/j.clnu.2021.06.006 · Cited by 76 · see citing works

Evaluation of various biomarkers as potential mediators of the association between coffee consumption and incident type 2 diabetes in the EPIC-Potsdam Study , ,

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Incidental findings on chest CT imaging are associated with increased COPD exacerbations and mortality

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Dihydroceramide- and ceramide-profiling provides insights into human cardiometabolic disease etiology

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Associations of short stature and components of height with incidence of type 2 diabetes: mediating effects of cardiometabolic risk factors

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Somatic and Germline Variants and Coronary Heart Disease in a Chinese Population

Zhao, K., Shen, X., Liu, H., Lin, Z., Li, J., Chen, S., Liu, F., Huang, K., Cao, J., Liu, X., et al. (2024) · JAMA Cardiology · doi:10.1001/jamacardio.2023.5095 · Cited by 59 · see citing works

Global DNA methylation and one-carbon metabolism gene polymorphisms and the risk of breast cancer in the Sister Study

DeRoo, L. A., Bolick, S. C. E., Xu, Z., Umbach, D. M., Shore, D., Weinberg, C. R., Sandler, D. P., & Taylor, J. A. (2013) · Carcinogenesis · doi:10.1093/carcin/bgt342 · Cited by 57 · see citing works

Red meat consumption and risk of cardiovascular diseases—is increased iron load a possible link?

Pacheco, D. A. Q., Sookthai, D., Wittenbecher, C., Graf, M. E., Schübel, R., Johnson, T., Katzke, V. A., Jakszyn, P. G., Kaaks, R., & Kuhn, T. E. (2018) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqx014 · Cited by 57 · see citing works

Iron status in relation to cancer risk and mortality: Findings from a population‐based prospective study

Pacheco, D. A. Q., Sookthai, D., Graf, M. E., Schübel, R., Johnson, T., Katzke, V. A., Kaaks, R., & Kuhn, T. E. (2018) · International Journal of Cancer · doi:10.1002/ijc.31384 · Cited by 43 · see citing works

Metals and Breast Cancer Risk: A Prospective Study Using Toenail Biomarkers

Niehoff, N. M., O’Brien, K. M., Keil, A. P., Levine, K. E., Liyanapatirana, C., Haines, L. G., Suramya Waidyanatha, A., Weinberg, C. R., & White, A. J. (2021) · American Journal of Epidemiology · doi:10.1093/aje/kwab204 · Cited by 38 · see citing works

A bibliography and comments on the use of statistical models in epidemiology in the 1980s

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

Plasma Fibrinogen and sP-Selectin are Associated with the Risk of Lung Cancer in a Prospective Study

Grafetstätter, M., Hüsing, A., Maldonado, S. G., Sookthai, D., Johnson, T., Pletsch‐Borba, L., Katzke, V. A., Hoffmeister, M., Bugert, P., Kaaks, R., et al. (2019) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-18-1285 · Cited by 23 · see citing works

Biomarkers of Vascular Injury and Type 2 Diabetes: A Prospective Study, Systematic Review and Meta-Analysis

Pletsch‐Borba, L., Watzinger, C., Fortner, R. T., Katzke, V. A., Schwingshackl, L., Sowah, S. A., Hüsing, A., Johnson, T., Groß, M.-L., Maldonado, S. G., et al. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8122075 · Cited by 16 · see citing works

Vascular injury biomarkers and stroke risk

Pletsch‐Borba, L., Grafetstätter, M., Hüsing, A., Johnson, T., Maldonado, S. G., Groß, M.-L., Kloß, M., Hoffmeister, M., Bugert, P., Kaaks, R., et al. (2020) · Neurology · doi:10.1212/wnl.0000000000009391 · Cited by 16 · see citing works

Linear discriminant models for unbalanced longitudinal data

Marshall, G., & Bar�n, A. E. (2000) · Statistics in Medicine · doi:10.1002/1097-0258(20000815)19:15 · Cited by 50 · see citing works

Biomarkers of vascular injury in relation to myocardial infarction risk: A population-based study

Pletsch‐Borba, L., Grafetstätter, M., Hüsing, A., Maldonado, S. G., Kloß, M., Groß, M.-L., Johnson, T., Sookthai, D., Bugert, P., Kaaks, R., et al. (2019) · Scientific Reports · doi:10.1038/s41598-018-38259-y · Cited by 14 · see citing works

Pre‐diagnostic plasma concentrations of Fibrinogen, sGPIIb/IIIa, sP‐selectin, sThrombomodulin, Thrombopoietin in relation to cancer risk: Findings from a large prospective study

Graf, M. E., Sookthai, D., Johnson, T., Schübel, R., Maldonado, S. G., Pletsch‐Borba, L., Katzke, V. A., Bugert, P., Hoffmeister, M., Kaaks, R., et al. (2018) · International Journal of Cancer · doi:10.1002/ijc.31623 · Cited by 14 · see citing works

Significant associations of the rs2943634 (2q36.3) genetic polymorphism with adiponectin, high density lipoprotein cholesterol and ischemic stroke

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Multiple imputation was a valid approach to estimate absolute risk from a prediction model based on case–cohort data

Mühlenbruch, K., Kuxhaus, O., di Giuseppe, R., Boeing, H., Weikert, C., & Schulze, M. B. (2017) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2016.12.019 · Cited by 13 · see citing works

First report on genome wide association study in western Indian population reveals host genetic factors for COVID-19 severity and outcome

Pandit, R. J., Singh, I., Ansari, A. I., Raval, J. N., Patel, Z. Z., Dixit, R. D., Shah, P., Upadhyay, K. J., Chauhan, N., Desai, K. J., et al. (2022) · Genomics · doi:10.1016/j.ygeno.2022.110399 · Cited by 9 · see citing works

Major bleeding during oral anticoagulant therapy associated with factor V activation by factor Xa

Maag, A., van Rein, N., Schuijt, T. J., Kopatz, W. F., Kruijswijk, D., Thomassen, S., Hackeng, T. M., Camire, R. M., van der Poll, T., Meijers, J. C. M., et al. (2021) · Journal of Thrombosis and Haemostasis · doi:10.1111/jth.15589 · Cited by 8 · see citing works

Estimating hidden morbidity via its effect on mortality and disability

Woodbury, M. A., Mantón, K. G., & Yashin, A. I. (1988) · Statistics in Medicine · doi:10.1002/sim.4780070133 · Cited by 6 · see citing works

Carotid artery displacement and cardiovascular disease risk in the Multi-Ethnic Study of Atherosclerosis

Gepner, A. D., McClelland, R. L., Korcarz, C. E., Young, R., Kaufman, J. D., Mitchell, C., & Stein, J. H. (2019) · Vascular Medicine · doi:10.1177/1358863x19853362 · Cited by 5 · see citing works

How to optimize the use of biobanks from population-based cohorts in aging research

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Healthy lifestyle attenuates the clonal hematopoiesis-associated coronary artery disease risk

Yang, Y., Shen, X., Huang, K., Liu, H., Li, J., Liu, F., Chen, S., Cao, J., Li, H., Liu, X., et al. (2025) · Fundamental Research · doi:10.1016/j.fmre.2025.09.012 · Cited by 1 · see citing works

FACULTAT DE MEDICINA I ODONTOLOGÍA

Medicina, D. D. (2014)

Association of body fat distribution with high blood pressure among Chinese children and adolescents with various nutritional status: a population-based study

Chen, M., Wang, X., Li, Y., Gao, D., Ma, T., Ma, T., Zhang, Y., Chen, L., Liu, J., Ma, Q., et al. (2023) · Journal of Public Health · doi:10.1007/s10389-023-02117-7

Peanuts-derived plasma lipids and lower risk of type 2 diabetes: association mediated by body mass index—an intervention and case-cohort study

Domínguez‐López, I., Eichelmann, F., Parilli‐Moser, I., Hurtado‐Barroso, S., Lamuela-Raventós, R. M., & Schulze, M. B. (2026) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2026.101527

Relative Risk Regression Analysis of Epidemiologic Data

Prentice, R. L. (1985) · Environmental Health Perspectives · doi:10.1289/ehp.8563225 · Cited by 7 · see citing works

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 · see citing works

GENERAL RELATIVE RISK REGRESSION MODELS FOR EPIDEMIOLOGIC STUDIES1

Moolgavkar, S. H., & Venzon, D. J. (1987) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114733 · Cited by 76 · see citing works

General Relative Rate Models for the Analysis of Studies Using Case-Cohort Designs

Richardson, D. B., Langholz, B. M., & Kelly‐Reif, K. (2018) · American Journal of Epidemiology · doi:10.1093/aje/kwy223 · Cited by 1 · see citing works

Risk set sampling in epidemiologic cohort studies

Goldstein, L. J., & Langholz, B. M. (1996) · Statistical Science · doi:10.1214/ss/1032209663 · Cited by 197 · see citing works