Course outcomes

CO1: Understand the basics of survival distributions and its applications.
CO2: Understand the censoring schemes and its applications.
CO3: Know the importance of non-parametric methods.
CO4: To gain knowledge competing risk theory.

Survival Analysis: Functions of survival times, survival distributions and their applications Censoring Schemes: Type I, Type II and progressive or random censoring with biological examples. Estimation of mean survival time and variance of the estimator for Type I and Type II censored data with numerical examples.
Non-parametric methods: Actuarial and Kaplan-Meier methods for estimating survival function and variance of the Estimator.
Competing Risk Theory: Indices for measurement of probability of death under competing risks and their inter-relations. Estimation of probabilities of death using maximum likelihood principle and modified minimum Chi-square methods.

1. Miller,R.G. Survival analysis, John Wiley ,1981
2. Collet, D. Statistical analysis of life time data,1984
3. Cox, D.R. and Oakes, D.: Analysis of survival data, Chapman & Hall, New York,1984
4. Gross, A.J. and Clark, V.A.: Survival distribution: Reliability applications in the Biomedical sciences, John Wiley and Sons,1975
5. Elandt-Johnson,R.E. Johnson, N.L. : Survival models and data analysis, John Wiley & sons.