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B. Stat. – 403
bIOSTATISTICS
Full marks – 75
(Examination 60, Tutorial/Terminal 11.25, and Attendance 3.75)
Number of Lectures – Minimum 45
(Duration of Examination: 4 Hours)

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Aim of this course
The aim of this course is to give an overview about survival analysis and medical statistics.
Objectives of this course
 
To equip the students with the methodology for analyzing censored data that arises in medical or engineering problems;
 
To help the students to acquire knowledge on the theory of survival analysis and medical statistics;
Learning outcomes of this course
After completion of the course, students will be able to
 
conduct an epidemiological or medical study.
 
apply proper statistical methods and models to analyze the data from epidemiological or medical study.

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Course Contents
Basic Concept:  survival function, Hazard function, , Intensity of failure, Lifetime, Model of lifetime or failure time, Distribution and density function of functions of the random  future lifetime,,Residual life, Conditional probabilities of failure, Central failure rate and their inter-relationship, the force of mortality or hazard rate, Gompertz and Makeham laws of mortality, Curtate future lifetime and its probability density function, Expected value and variance of the curtate and complete future lifetime, Two-state model of a single decrement
Lifetime Distributions: Censoring of lifetime data, Estimation of empirical survival function in the absence of censoring, Kapler-Meler model estimator of survival function, Nelson-Aalen estimator of the cumulative hazard rate, Models for proportional hazard, Cox model for proportional hazard, uniform, Exponential, Weibull, Extreme value distributions.
Life Table: Basic concept, , Life table, construction of Life Table
Incomplete Data Analysis: Type of censoring, Construction of likelihood function with censored data, Estimation of Parameters and their sampling variances from exponential, Weibull, and extreme value distributions using type I and type II censored data.
Medical Statistics: Introduction, Biological assay, Cross-sectional, Prospective and Retrospective study designs, Study of prevalence, Incidence and risk factors, Attributable risk and relative risk, Screening test, Clinical drug trials– symptoms and cognitive factors, Randomized and most general rules, Treatment covariate interaction.

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Main Books Recommended:
1)
Armitage, P., G. Berry & J. N. Matthews (2008). Statistical methods in medical research. John Wiley & Sons.
2)
Lawless, J. F. (2011). Statistical models and methods for lifetime data (Vol. 362). John Wiley & Sons.
References:
3)
Brown, B. W., & M. Hollander (2009). Statistics: a biomedical introduction (Vol. 130). John Wiley & Sons.
4)
Daniel, W. W., & C. L. Cross (2012). Biostatistics: A Foundation for Analysis in the Health Sciences: A Foundation for Analysis in the Health Sciences.
5)
Lee, E. T., & J. W. Wang (2013). Statistical methods for survival data analysis. John Wiley & Sons.