This intensive 5-day workshop provides a comprehensive introduction to research methods and statistics, equipping participants with practical skills in statistical methodologies essential for high-quality research. Participants will explore a variety of topics, including data collection, hypothesis testing, and multivariate analysis, while enhancing their ability to apply statistical methods confidently in diverse research contexts.

Topics Covered
Basic Concepts , Research Design , Statistical Terminologies , bias , confounding , Data Quality , Storing data , Types of variables , Data presentation , Proportions , Percentages , Rates , Odds , Measures of Central Tendency , Measures of Spread , Mean , Median , Standard deviation , Inter-quartile range , Relative Risk , Odds Ratio , Difference in proportions , Mean Difference , Median Difference , Linear Association (Pearson Correlation) , Central Limit Theorem for single mean , Standard error , Standard Errors , Confidence Interval for mean , Confidence Interval for proportions , Null Hypothesis , P-value , Significance Testing for single mean , One-sample t-test , Chi-square test , RR , OR , Correlation , Matched Pairs , Within Individual pairing , Paired t-test , McNemar's Test , Wilcoxon Test , Kruskal-Wallis Test , Spearman's Rank , Fisher's test , Mann-Whitney test , Bootstrapping basics , Bootstrap confidence interval for mean , Bootstrap Confidence Interval for proportion , Bootstrap confidence interval on transformed scale , Bootstrap for mean difference , Chi-square for multiple groups , Post-hoc tests , Example , Types of Regression , Linear Regression , Regression Fitting , Model Selection , Interpretation , Recap of tests , Recap of variable types and summary , Revision questions and solutions