Details of LS3203 (Spring 2013)

Level: 3 Type: Theory Credits: 3.0

Course CodeCourse NameInstructor(s)
LS3203 Biostatistics Robert John Chandran

Syllabus
Introduction: the need for statistical analyses and models in biology. Testing relationships among biological/biophysical variables: regression and correlation. Univariate models. Testing covariates and multiple variables: multiple linear regression. Experimental Design and ANOVA: fixed effects, random effects, mixed effects models, interactions. Multivariate analyses: multivariate data, multivariate normal distribution, principal components, ordination. Cluster Analyses: distance function, UPGMA/average linkage clustering, construction of phylogenetic trees. Non-parametric Methods: signed-rank test, Mann-Whitney test, Kruskal-Wallis test, rank correlation.

Teaching Methods
Since the basic principles of probability and statistics are already covered in the Probability and Statistics course in the 4th Semester, this course will proceed straight to the topics mentioned above, focusing on the principles in brief, and illustrating the applications with numerous examples and exercises. In addition, there will also be invited guest lectures on specific topics.

References
1. Statistical Methods by George W. Snedecor and William G. Cochran (1989). Eighth Edition.
2. Biometry: The Principles and Practices of Statistics in Biological Research by Robert R. Sokal and F. James Rohlf (1994)
3. Applied Multivariate Statistical Analysis (6th Edition) by Richard A. Johnson and Dean W. Wichern (2007)
4. A Primer Of Ecological Statistics by Nicholas J. Gotelli and Aaron M. Ellison (May 1, 2004).
5. Cluster Analysis (Wiley Series in Probability and Statistics) by Brian S. Everitt, Dr Sabine Landau, Dr Morven Leese and Dr Daniel Stahl (Mar 8, 2011)

Course Credit Options

Sl. No.ProgrammeSemester NoCourse Choice
1 IP 2 Core
2 IP 4 Not Allowed
3 MS 6 Core
4 RS 1 Elective