Biostatistics: Course Outline

• Definition of Biostatistics.
• viz-a-viz the type of variables and observations in biological.
• Health and medical sciences.
• Uniqueness in terms of behavior of variables their domain, and units.
• Categorical numerical and censored data. 
• Populations. 
• Target populations and samples. 
• Role of Sampling in biostatistics.
• Size of Sample of various type of studies. 
• Proportions. 
• rates and ratios.
• incidence.
• prevalence and odds.
• Distributional behaviour of biological variables (Binomial, Poisson and Normal).
• Role of transformation for analysis of biological variables.
• Probit and logit transformations and their analysis.
• Evolution of p values.
• its importance and role.
• Confidence interval in simple and composite hypothesis testing.
• Multivariate Models.
• Binary logistic regression.
• Introduction Multiple Logistic Regression.
• Proportional Hazard Model.
• Methods of Survival data analysis.
• Kaplan Maier Estimates. 

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