Survival analysis (Biometry)

Survival analysis = techniques for censored and truncated data / by: (Language materials, printed)

Survival Analysis = A Self-Learning Text / by: (Language materials, printed)

Recurrent events data analysis for product repairs, disease recurrences, and other applications by: (Language materials, printed)

Statistical advances in the biomedical sciences : = clinical trials, epidemiology, survival analysis, and bioinformatics / by: (Language materials, printed)

Survival analysis = techniques for censored and truncated data / by: (Language materials, printed)

An introduction to survival analysis using Stata / by: (Language materials, printed)

Statistical models and methods for reliability and survival analysis by: (Electronic resources)

Survival analysis in medicine and genetics / by: (Language materials, printed)

Modelling survival data in medical research / by: (Language materials, printed)

Applied survival analysis using R by: (Electronic resources)

Handbook of survival analysis by: (Electronic resources)

From basic survival analytic theory to a non-standard application by: (Electronic resources)

Statistical modelling of survival data with random effects = H-likelihood approach / by: (Electronic resources)

Reliability and survival analysis by: (Electronic resources)

Survival analysis with interval-censored data = a practical approach with examples in R, SAS and BUGS / by: (Electronic resources)

Modern survival analysis in clinical research = Cox regressions versus accelerated failure time models / by: (Electronic resources)

Outcome prediction in cancer by: (Electronic resources)

Survival analysis for epidemiologic and medical research by: (Electronic resources)

Survival analysis = a self-learning text / by: (Electronic resources)

Survival analysis with correlated endpoints = joint frailty-copula models / by: (Electronic resources)

Analysis for time-to-event data under censoring and truncation / by: (Electronic resources)