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 fieldsPREREQUISITES :Basics of probability and statisticsINDUSTRY SUPPORT :Biopharma, Agriculture, fisheries and Biotechnology companies.
Overview
Syllabus
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
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
Taught by
Mukesh Doble
