Practical Stata for Researchers: A Step-by-Step Guide to Statistical Analysis in Health and Social Sciences

The distance between knowing what analysis to run and knowing how to run it in Stata is where research projects stall. This book was written to close that gap.

Practical Stata for Researchers is a complete, code-first guide for anyone analysing quantitative data in the health and social sciences. It assumes no prior Stata experience, yet carries you all the way to the specialised methods reviewers and funders increasingly expect.

PART I (Foundation Skills): the Stata interface, importing and cleaning messy real-world data, merging and reshaping, do-files, loops and macros, variable creation, descriptive statistics, and publication-quality graphs.

PART II (Core Methods): chi-square and Fisher's exact tests, ANOVA, linear and logistic regression, count models including modified Poisson for risk ratios, multilevel and mixed-effects models, GEE, and panel data analysis.

PART III (Advanced Methods): survival analysis, complex survey data, multiple imputation, sample size and power calculations, propensity score methods, meta-analysis, and interrupted time series.

EVERY CHAPTER INCLUDES: a real research problem as the starting point; annotated commands with menu-path alternatives; plain-language interpretation of every output; worked examples; practice questions, all 252 answered in full; a practical exercise; and a quick-reference command table. Plus a which-method-do-I-use decision guide, a 200-term glossary, and a full index.

For clinicians, epidemiologists, public health professionals, social scientists, M&E specialists, graduate students, and anyone transitioning to Stata from SPSS, R, or SAS.