Course Details

Subject {L-T-P / C} : BM6035 : Methods in Biostatistics { 3-0-0 / 3}

Subject Nature : Theory

Coordinator : Prof. Mukesh Kumar Gupta

Syllabus

Introduction: Need of statistics for Bioengineers Variables and Scales of Measurement Types and Sources of data Organization and Classification of data (Frequency distribution) Representation of data (Tabulation, Graph and, Diagram). Descriptive statistics: Measures of central tendency Measures of dispersion Measure of position and Z score Probability and Probability Distributions (Binomial, Poisson, Normal) Asymmetric Distributions and Measure of shape (Skewness and Kurtosis) Inferential statistics (Hypothesis testing): Basic concepts and steps Type I and type II errors Z-tests T-test: Dependent t-test, independent t-test Chi-square testF-test ANOVA, ANCOVA, factorial ANOVA, repeated-measures designs, mixed design ANOVA, post hoc procedures Non-parametric, distribution-free tests: Sign test, Wilcoxon signed-rank test, Wilcoxon rank sum test, Mann-Whitney U test Kruskal-Wallis H test, Friedman's test, Spearman's rank correlation test. Testing normal distribution - Kolmogorov-Smimov test Testing homogeneity of variance - Levene's test Inferential statistics (Correlation and Regression): Bivariate correlation - Pearson's correlation coefficient, Spearman's correlation coefficient Partial correlation Regression - method of least squares, assessing goodness of fit multiple regression. Experimental design and clinical trials.

Course Objectives

Course Outcomes

• Learn different statistical tools for biomedical and pharmaceutical data analysis. <br />• Correctly choose and apply bio-statistical tools in biotechnology and medical engineering. <br />• Understand the power and weakness of biostatistics in deriving conclusion. <br />• Apply bio-statistical tools in experimental design and clinical trials.

Essential Reading

Supplementary Reading