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Biostatistics: Course Outline

Develop basic skills in critical review of the public health literature.

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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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