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.
- Target populations and samples.
- Role of Sampling in biostatistics.
- Size of Sample of various type of studies.
- rates and ratios.
- 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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