Tutorial in biostatistics: competing risks and multi‐state models
Citations Over TimeTop 1% of 2006 papers
Abstract
Standard survival data measure the time span from some time origin until the occurrence of one type of event. If several types of events occur, a model describing progression to each of these competing risks is needed. Multi-state models generalize competing risks models by also describing transitions to intermediate events. Methods to analyze such models have been developed over the last two decades. Fortunately, most of the analyzes can be performed within the standard statistical packages, but may require some extra effort with respect to data preparation and programming. This tutorial aims to review statistical methods for the analysis of competing risks and multi-state models. Although some conceptual issues are covered, the emphasis is on practical issues like data preparation, estimation of the effect of covariates, and estimation of cumulative incidence functions and state and transition probabilities. Examples of analysis with standard software are shown.
Related Papers
- → Clinician Attitudes Toward Biostatistics(2007)100 cited
- → The Views of Academic Staff on Biostatistics Education in Health Sciences(2013)15 cited
- Epidemiology of Tuberculosis in Iran (2001-08)(2011)
- → A Survey of Biostatistics Teaching in Medicine and Dentistry in Higher Education in the UK(2023)1 cited
- → The Instruction of Biostatistics in Medical Schools(1987)17 cited