Basic hypothesis testing approaches:
t-test, Paired t-test, ANOVA (one-way, two-way) , ANCOVA, Chi-square test, Wilcoxon
Ranked Sum test etc.
Generalized Linear Models:
1. Univariate Regression
2. Logistic Regression and its extensions
3. Poisson, Negative-Binomial Regression
4. Joint modeling approaches:
GEE family Models:
1. Generalized Estimating Equation (Population-averaged models)
2. Alternating Logistic Regression
3. Conditional Logistic Regression, etc.
Mixed Models:
1. Response Profiles
2. Random Effect(s) Model
3. Generalized Linear Mixed Model
4. Non-Linear Mixed Model, etc.
Survival Analysis:
1. Life-tables and Kaplan-Meier Curves, Log-rank and Gehan-Wilcoxon test etc.
2. Cox Proportional Hazards Model
3. Frailty Models (Gamma, log-normal), etc.
Multivariate and Multidimensional Analysis:
1.MANOVA, MANCOVA, Hotellings-T etc.
2.Principal Component Analysis, Redundancy Analysis, Principal Co-ordinates
Analysis, Correspondence Analysis, Canonical Correlation Analysis, Detrended Canonical Analysis, Factor Analysis, Metric and Non-Metric Multidimensional Scaling, Cluster Analysis, Discriminant Analysis
3.Graphical Techniques: Biplot etc.
Non-Linear Regression Models:
Power Regression Model, Log-linear Regression Models etc.
