# Biostatistics and Design of experiments

Start Date
24/07/2017

End Date
30/09/2017

Enrollment End Date
30/09/2017

No. of
Enrollments
368 students

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Mukesh Doble
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Course Language
English
Course Type
Scheduled
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Course Category
Engineering
Learning Path
Course Length
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0 Hours
Course Completion
Exam Date
To be announced
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41

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Overview

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

PRE-REQUISITES

Basics of probability and statistics

INDUSTRIES THAT WILL VALUE THIS

Biopharma, Agriculture, fisheries and Biotechnology companies.

COURSE LAYOUT

Module 1

Introduction to statistics (various distributions)

Normal distribution

Sample and population

Sample and population

Module 2

Z distribution

Z distribution/confidence interval

Tests of significance – t test

Tests of significance – t test

Module 3

Tests of significance – t test

Tests of significance – t test

Tests of significance – t test

Tests of significance – t test

Module 4

F test

ANOVA

Module 5

2 test/Odds ratio

Non parametric tests

Other tests

Module 6

Design of experiment- introduction

Design of experiment

Screening designs

Screening design - Data analysis

Module 7

Screening design - Data analysis

Higher order designs

Higher order designs

Higher order designs

Module 8

Regression analysis

Regression analysis

Data reduction

Data reduction

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Faculty

### Mukesh Doble

Professor Mukesh Doble is a faculty at the Department of Biotechnology at IIT Madras.

He has previously worked in Imperial chemical Industries (ICI) and General Electric (GE) for 20 years.

His areas of research are Biomaterials, Biopolymers, and Drug design.

He has published 250 papers and 8 books and filed 8 patents.

FAQs

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