Flexible Parametric Survival Analysis Using Stata

Patrick Royston is a senior medical statistician at the Medical Research Council, London, UK. He has published research papers on a variety of topics in leading statistics journals. His key interests include multivariable modeling and validation, survival analysis, design and analysis of clinical trials, and statistical computing and algorithms. He is an associate editor of the Stata Journal. Paul Lambert is a reader in medical statistics at Leicester University, UK. His main interest is in the development and application of statistical methods in population-based cancer research and related fields. He has published widely in leading statistical and medical journals.

• Preface 1 Introduction 2 Using stset and stsplit 3 Graphical introduction to the principal datasets 4 Poisson models 5 Royston-Parmar models 6 Prognostic models 7 Time-dependent effects 8 Relative survival 9 Further topics

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