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.
0
1
September 25, 2023
English
English [CC]
Description
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)
Course Curriculum
- Lecture 01 – Introduction Unlimited
- Lecture 02 – Experimental Design Strategy Unlimited
- Lecture 03 – Data Types: Binomial Distribution Unlimited
- Lecture 04 – Poisson Distribution Unlimited
- Lecture 05 – Normal Distribution Unlimited
- Lecture 06 – Standardized Normal Distribution, T-Distribution Unlimited
- Lecture 07 – T-Distribution, Confidence Interval Unlimited
- Lecture 08 – Statistical Tests Unlimited
- Lecture 09 – T-Test Unlimited
- Lecture 10 – T-Test: 2 Sample T-Test Examples Unlimited
- Lecture 11 – Paired Sample T-Test Unlimited
- Lecture 12 – F-Tests Unlimited
- Lecture 13 – F-Tests (cont.) Unlimited
- Lecture 14 – Analysis of Variance (ANOVA) Unlimited
- Lecture 15 – ANOVA (cont.) Unlimited
- Lecture 16 – ANOVA: Repeatability, Reproducibility Unlimited
- Lecture 17 – ANOVA: Interactions Unlimited
- Lecture 18 – ANOVA and Random or Mixed Effect Model Unlimited
- Lecture 19 – 3 Way ANOVA: a Bioprocess Example, Latin Square Design Unlimited
- Lecture 20 – 3 Way ANOVA with Interaction, Full Factorial Experimental Design Unlimited
- Lecture 21 – Normality Test/Odds Ratio Unlimited
- Lecture 22 – Chi Square Distribution Unlimited
- Lecture 23 – Chi Square Distribution/Test Unlimited
- Lecture 24 – Chi Square Test Unlimited
- Lecture 25 – Chi Square Test and Weibull Distribution Unlimited
- Lecture 26 – Weibull Distribution Unlimited
- Lecture 27 – Weibull Distribution (cont.) Unlimited
- Lecture 28 – Nonparametric Tests Unlimited
- Lecture 29 – Nonparametric Tests, Homogeneity of Variance, Beta Distribution Unlimited
- Lecture 30 – Exponential and Hypergeometric Distributions Unlimited
- Lecture 31 – Hypergeometric and Log Normal Distributions Unlimited
- Lecture 32 – Design of Experiments (DOE): Introduction Unlimited
- Lecture 33 – Design of Experiments (DOE): Factorial Design Unlimited
- Lecture 34 – Full Factorial Design Unlimited
- Lecture 35 – Fractional Factorial Design Unlimited
- Lecture 36 – Other Designs Unlimited
- Lecture 37 – Second Order Designs Unlimited
- Lecture 38 – Second Order Designs (cont.) Unlimited
- Lecture 39 – Regression Analysis Unlimited
- Lecture 40 – Control Charts Unlimited
About the instructor
Instructor Rating
Reviews
Courses
Students
Hours of videos
1111 years
Units & Quizzes
Unlimited Lifetime access
Access on mobile app
Certificate of Completion
- For teams of 2 or more users
- 27,000+ fresh & in-demand courses
- Learning Engagement tools
- SSO and LMS Integrations
