Modelling survival data in medical research

By D. Collett

Subjects: Linear Models, Research, Prognosis, Clinical trials, Survival analysis, Statistical methods, Wa 950 c698m 2003, Survival Analysis, Modèle statistique, Clinical Trials as Topic, Failure time data analysis, Overlevingsanalyse, Proportional Hazards Models, Analyse de survie (statistique), Methods, Survival analysis (biometry), 610/.7/27, R583.s7 c65 2003, Biometry, Software, Clinical trials--statistical methods, Survival analysis (Biometry), 2003 g-274, R853.s7 c65 2003, Medicine, Research Design, Research design, Recherche médicale, Proportional hazards models, Linear models (Statistics), Analyse de survie (Statistique)

Description: Provides an outstanding text for upper-level and graduate courses in survival analysis, biostatistics, and time-to-event analysis. This edition features a more detailed treatment of topics such as parametric models, accelerated failure time models, and the analysis of interval-censored data. The author also focuses the software section on the use of SAS, summarising the methods used by the software to generate its output and examining that output in detail.