Cure Models: Methods, Applications, and Implementation
Par šo e-grāmatu
The book features real-world examples from clinical trials and population-based studies and a detailed introduction to R packages, SAS macros, and WinBUGS programs to fit some cure models. The main topics covered include
- the foundation of statistical estimation and inference of cure models for independent and right-censored survival data,
- cure modeling for multivariate, recurrent-event, and competing-risks survival data, and joint modeling with longitudinal data,
- statistical testing for the existence and difference of cure rates and sufficient follow-up,
- new developments in Bayesian cure models,
- applications of cure models in public health research and clinical trials.
Par autoru
Yingwei Peng is Professor of Biostatistics in the Departments of Public Health Sciences and Mathematics and Statistics at Queen’s University and a senior Biostatistician at Queen’s Cancer Research Institute. He has been an Associate Editor of Canadian Journal of Statistics since 2010 and provided referee services to all mainstream statistical journals and Canadian federal funding agencies (NSERC and CIHR). He offered short courses on cure models, either by himself or with Jeremy Taylor (University of Michigan, USA), in Joint Statistical Meetings, ENAR Spring Meeting, and Université catholique de Louvain, Belgium, in 2014. Binbing Yu is an Associate Director in the AstraZeneca oncology biometric group. He has extensive experience in the applications of cure models in public health, clinical trials and health economics and made notable contributions to the development and enhancement of cure modeling for the presentation and analysis of cancer survival data for the USA National Cancer Institute.
