Biostatistics is the application of statistics to different topics in biology including medicine, pharmacy, public health science, agriculture and fishery. It involves the analysis of data from experiments; its interpretation and drawing conclusion from the results. It is very relevant to all UG and PG level degree programmes majoring in Biotechnology and allied fields as well as practicing scientists. It involves the application of statistical theory to real-world problems, the practice of designing and conducting biomedical experiments and clinical trials. Design of experiments is planning experimental strategy, screening a large number of parameters and selecting the important ones, determining the minimum number of experiments and deciding on the mode and manner in which experiment have to be conducted. The course encompasses topics such as distribution of data, sample size, tests of significance, data reduction, regression analysis, comparison of performance of drugs in clinical trials, design of experiments, screening and second order designs.
INTENDED AUDIENCE :UG/PG Biotech programmes (core or elective) and research scientists in biotechnology, clinical trials, agriculture etc and allied fields PREREQUISITES :Basics of probability and statistics INDUSTRY SUPPORT :Biopharma, Agriculture, fisheries and Biotechnology companies.
Module 1 Introduction Experimental design strategy Data types/Binomial Distribution Poisson Distribution Normal Distribution
Module 2 Standardized Normal Distribution/ t distribution t distribution/confidence interval Statistical tests t- tests t- tests – continued Module 3 t- tests – continued F- tests F- tests –continued ANOVA ANOVA-continued
Module 4 ANOVA-continued ANOVA-continued ANOVA-continued ANOVA-continued ANOVA-continued Module 5 NORMALITY TEST/ODDS RATIO c2 distribution/test c2 distribution/test –continued c2 test Weibull distribution
Module 6 Weibull distribution-contniued Weibull distribution-continued Nonparametric tests Nonparametric tests/Homogeneity of variance/Beta distribution Exponential / Hypergeometric distributions
Module 7 Hypergeometric/Log normal distributions Design of Experiments (DOE) – Introduction Factorial design Full Factorial design Fractional Factorial design Module 8 Other designs Second order designs Second order designs-continued Regression Analysis Control Charts