Skip to main content

Theories of Biostatistics


  • Unit 1: Fundamentals of Biostatistics: Definition of Biostatics, historical background, applications of Biostatistics, the scope of Biostatistics in Public Health, type of data, nature of biostatistics data, organization of data, basic study designs. 
  • Unit 2: Measures in epidemiology (measures of frequency, association and risk): Prevalence, Incidence, Risk, Odds of disease, Incidence time, Incidence rate, Relationship between prevalence, rate and risk, measures of morbidity and mortality, measures of association. Routine data to measure disease occurrence, age standardization, crude rate, direct method of Standardization, indirect method of standardization, cumulative rate, cumulative risk, proportional incidence. 
  • Unit 3: Validity and reliability of measures of exposure and outcome: Diagnostic tests. Sensitivity, Specificity, predictive value method for selecting a positivity criterion, receiver operator characteristic (ROC) curve, Intra and Inter-observer reliability, Kappa measure of agreement.   
  • Unit 4: Experimental designs and analysis of variance: Completely randomized design (CRD) for parallel group studies, Randomized complete Block Design (RCBD) for crossover studies, Latin square design, Factorial design, Graeco-latin square design,  repeated measure design,
  • Unit 5: Advanced Statistical Data Analysis: generalized linear models, generalized linear mixed models, semiparametric and nonparametric regression, neural networks, and Bayesian data analysis; theory and practice in the health sciences