Two Pitfalls in Survival Analyses of Time-Dependent Exposure: A Case Study in a Cohort of Oscar Nominees

Martin Wolkewitz Martin Wolkewitz is Senior Statistician , Arthur Allignol is Ph.D. Student, and Jan Beyersmann is Senior Statistician, Institute of Medical Biometry and Medical Informatics, University Medical Center Freiburg, 79104 Freiburg, Germany and Freiburg Center for Data Analysis and Modelling, University of Freiburg, 79104 Freiburg, Germany. Martin Schumacher is Professor, Institute of Medical Biometry and Medical Informatics, University Medical Center Freiburg, 79104 Freiburg, Germany. We thank Caroline Mavergames for reading the manuscript for grammar and style which helped to improve the manuscript. We further thank the editors and authors of Annals of Internal Medicine for making the data publicly available. The Oscar study is a delightful example for our research unit Statistical modeling and data analysis in clinical epidemiology which is funded by the Deutsche Forschungsgemeinschaft DFG, project FOR 534.

Arthur Allignol Martin Wolkewitz is Senior Statistician , Arthur Allignol is Ph.D. Student, and Jan Beyersmann is Senior Statistician, Institute of Medical Biometry and Medical Informatics, University Medical Center Freiburg, 79104 Freiburg, Germany and Freiburg Center for Data Analysis and Modelling, University of Freiburg, 79104 Freiburg, Germany. Martin Schumacher is Professor, Institute of Medical Biometry and Medical Informatics, University Medical Center Freiburg, 79104 Freiburg, Germany. We thank Caroline Mavergames for reading the manuscript for grammar and style which helped to improve the manuscript. We further thank the editors and authors of Annals of Internal Medicine for making the data publicly available. The Oscar study is a delightful example for our research unit Statistical modeling and data analysis in clinical epidemiology which is funded by the Deutsche Forschungsgemeinschaft DFG, project FOR 534.

Martin Schumacher Martin Wolkewitz is Senior Statistician , Arthur Allignol is Ph.D. Student, and Jan Beyersmann is Senior Statistician, Institute of Medical Biometry and Medical Informatics, University Medical Center Freiburg, 79104 Freiburg, Germany and Freiburg Center for Data Analysis and Modelling, University of Freiburg, 79104 Freiburg, Germany. Martin Schumacher is Professor, Institute of Medical Biometry and Medical Informatics, University Medical Center Freiburg, 79104 Freiburg, Germany. We thank Caroline Mavergames for reading the manuscript for grammar and style which helped to improve the manuscript. We further thank the editors and authors of Annals of Internal Medicine for making the data publicly available. The Oscar study is a delightful example for our research unit Statistical modeling and data analysis in clinical epidemiology which is funded by the Deutsche Forschungsgemeinschaft DFG, project FOR 534.

Jan Beyersmann Martin Wolkewitz is Senior Statistician , Arthur Allignol is Ph.D. Student, and Jan Beyersmann is Senior Statistician, Institute of Medical Biometry and Medical Informatics, University Medical Center Freiburg, 79104 Freiburg, Germany and Freiburg Center for Data Analysis and Modelling, University of Freiburg, 79104 Freiburg, Germany. Martin Schumacher is Professor, Institute of Medical Biometry and Medical Informatics, University Medical Center Freiburg, 79104 Freiburg, Germany. We thank Caroline Mavergames for reading the manuscript for grammar and style which helped to improve the manuscript. We further thank the editors and authors of Annals of Internal Medicine for making the data publicly available. The Oscar study is a delightful example for our research unit Statistical modeling and data analysis in clinical epidemiology which is funded by the Deutsche Forschungsgemeinschaft DFG, project FOR 534.

Two Pitfalls in Survival Analyses of Time-Dependent Exposure: A Case Study in a Cohort of Oscar Nominees

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Two Pitfalls in Survival Analyses of Time-Dependent Exposure: A Case Study in a Cohort of Oscar Nominees

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