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Biostatistics and Design of Experiments

Biostatistics and Design of Experiments. Instructor: Prof. Mukesh Doble, Department of Biotechnology, IIT Madras. 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. (from nptel.ac.in)

Lecture 15 - ANOVA (cont.)


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Lecture 01 - Introduction
Lecture 02 - Experimental Design Strategy
Lecture 03 - Data Types: Binomial Distribution
Lecture 04 - Poisson Distribution
Lecture 05 - Normal Distribution
Lecture 06 - Standardized Normal Distribution, T-Distribution
Lecture 07 - T-Distribution, Confidence Interval
Lecture 08 - Statistical Tests
Lecture 09 - T-Test
Lecture 10 - T-Test: 2 Sample T-Test Examples
Lecture 11 - Paired Sample T-Test
Lecture 12 - F-Tests
Lecture 13 - F-Tests (cont.)
Lecture 14 - Analysis of Variance (ANOVA)
Lecture 15 - ANOVA (cont.)
Lecture 16 - ANOVA: Repeatability, Reproducibility
Lecture 17 - ANOVA: Interactions
Lecture 18 - ANOVA and Random or Mixed Effect Model
Lecture 19 - 3 Way ANOVA: a Bioprocess Example, Latin Square Design
Lecture 20 - 3 Way ANOVA with Interaction, Full Factorial Experimental Design
Lecture 21 - Normality Test/Odds Ratio
Lecture 22 - Chi Square Distribution
Lecture 23 - Chi Square Distribution/Test
Lecture 24 - Chi Square Test
Lecture 25 - Chi Square Test and Weibull Distribution
Lecture 26 - Weibull Distribution
Lecture 27 - Weibull Distribution (cont.)
Lecture 28 - Nonparametric Tests
Lecture 29 - Nonparametric Tests, Homogeneity of Variance, Beta Distribution
Lecture 30 - Exponential and Hypergeometric Distributions
Lecture 31 - Hypergeometric and Log Normal Distributions
Lecture 32 - Design of Experiments (DOE): Introduction
Lecture 33 - Design of Experiments (DOE): Factorial Design
Lecture 34 - Full Factorial Design
Lecture 35 - Fractional Factorial Design
Lecture 36 - Other Designs
Lecture 37 - Second Order Designs
Lecture 38 - Second Order Designs (cont.)
Lecture 39 - Regression Analysis
Lecture 40 - Control Charts