Modelling survival data in medical research

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.

subjects: Statistical methods,  Clinical trials,  Failure time data analysis,  Linear models (Statistics),  Research,  Prognosis,  Medicine,  Survival analysis (Biometry),  Biometry,  Survival Analysis,  Linear Models,  Clinical Trials as Topic,  Methods,  Recherche médicale,  Modèle statistique,  Proportional Hazards Models,  Software,  Overlevingsanalyse,  Analyse de survie (Statistique),  Research Design,  Clinical trials--statistical methods,  R853.s7 c65 2003,  R583.s7 c65 2003,  2003 g-274,  Wa 950 c698m 2003,  610/.7/27,  Intellectuals,  Higher education and state,  Business and education,  Social classes,  Mathematics,  Computer science