Syllabus
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.
Objectives and Outcomes
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.
CO-PO Mapping:
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PO1
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PO2
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PO3
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PO4
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PO5
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PO5
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PO6
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PO7
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PO8
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PO9
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PO10
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PO11
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PO12
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CO1
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2
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3
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2
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2
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2
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1
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1
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CO2
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2
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2
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2
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2
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2
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1
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1
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CO3
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2
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2
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2
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2
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2
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1
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1
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CO4
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2
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2
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1
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2
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2
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1
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1
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Text Books / References
Text Books/ References Books
- Miller,R.G. Survival analysis, John Wiley ,1981
- Collet, D. Statistical analysis of life time data,1984
- Cox, D.R. and Oakes, D.: Analysis of survival data, Chapman & Hall, New York,1984
- Gross, A.J. and Clark, V.A.: Survival distribution: Reliability applications in the Biomedical sciences, John Wiley and Sons,1975
- Elandt-Johnson,R.E. Johnson, N.L. : Survival models and data analysis, John Wiley & sons.
