Course Contents

Special features of Survival data: Patient time and study time, survival function and hazard function, Time dependent and censored survival data. Nonparametric procedures: estimation of Survival function, hazard function, median and percentiles of survival times, Confidence interval. Nonparametric Methods for comparing Survival Distribution: Gehan’s Generalized Wilcoxon Test, Cox-Mantel Test, Logrank test, Peto & Peto’s generalized Wilcoxon Test,Cox’s F-test, Mantel-Haenszal Test., Kruskal Wallis Test, Multiple Comparison test based on Kruskal-Wallis Test. Some well known parametric Survival Distributios and their applications: Exponential distribution, Weibul distribution, Lognormal Distribution, Gamma and Generalized Gamma distribution, Log-Logistic Distribution. Graphical Methods for Survival distribution Fitting: Probability plotting: Exponential distribution, Weibul distribution, Lognormal Distribution, Log-Logistic Distribution. Application of Parametric Methods for Regression Model Fitting and identification of Prognostic Factors: Exponential regression Model, Weibull Regression Model, Lognormal Regrssion Model, Generalized Gamma Regression Model, Log-Logistic Regression Model. Regression Model, Log-Logistic Regression Model, Model selection methods, Cox proportional Hazard Model.