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1
Introduction
2
Experimental Design Strategy
3
Data types : Binomial distribution
4
Poisson Distribution
5
Normal Distribution
6
Standardized Normal Distribution/ t-distribution
7
t-distribution/confidence interval
8
Statistical tests
9
t-Test
10
t-Tests
11
t- test
12
F-tests
13
F-tests contd
14
ANOVA
15
ANOVA Contd
16
Anova Contd
17
Anova contd
18
Anova- Contd
19
Anova-contd
20
Anova- contd
21
Normality test/ Odds ratio
22
Chi square distribution
23
Chi square distribution/test
24
Chi square test
25
Chi square test and Weibull Distribution
26
Weibull Distribution
27
Weibull distribution.
28
Non-parametric test
29
Non parametric test/homogeneity of variance/beta distribution
30
Exponential/hypergeometric distributions
31
Hypergeometric/ Log norma distribution
32
Design of experiments (DOE) - Introduction
33
Factorial Design
34
Full factorial design
35
Fractional factorial design
36
Other designs
37
Second order designs
38
Second order design
39
Regression analysis
40
Control charts
Description:
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 experiments 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. Read more

Biostatistics and Design of Experiments

NPTEL
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