Students will be requested to select a title from statistical research papers for this presentation. Prior to the presentation their title should be approved by the department. During the semester student should make 10 minutes presentation and it will be evaluated for differ aspects by a panel appointed by the head of the department.
This course is designed for mainly research studies. The course will focus on the basic concepts of survival (time-to-event) data analysis and showing the methods of appropriately summarising time-to-event data. Different types of censoring are introduced. In addition, estimating and interpreting survival characteristics and comparing the survival rates for different groups are explored.
Many
studies, both experimental and surveys, give rise to data classified by one or
more factors. Such data can be analysed using the techniques of analysis of
contingency tables depending on variable is discrete. Topics covered in this
course include: 2×2 contingency tables: Relative risk, odds ratio, Chi-square
test, Fisher’s exact test, r×c contingency tables: Tests of homogeneity and
independence. Association in three-way tables. Logistic regression. Multinomial response
models for nominal data, Multinomial response models for ordinal data, Poisson regression model