InfoCoBuild

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 28 - Nonparametric Tests

Go to the Course Home or watch other lectures:

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