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This book is an introductory guide to programming and coding in Stata. Commonly encountered code in the field of medical statistics as well as the analyses of observational data are presented.This book covers loops and macros and then describes other commonly required coding commands.
This book is an introductory guide to programming and coding in Stata. Commonly encountered code in the field of medical statistics as well as the analyses of observational data are presented.This book covers loops and macros and then describes other commonly required coding commands.
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Rafael Gafoor is a Chartered Statistician at the Comprehensive CTU at University College London (UCL). Dr. Gafoor obtained both his master's degrees in Epidemiology and Medical Statistics from The London School of Hygiene and Tropical Medicine and his PhD from the Institute of Psychiatry (King's College London). He has worked as a medical statistician as well as an epidemiologist. His research interests include epidemiology, clinical sciences, public health and health services and systems. Dr. Gafoor is a consultant psychiatrist in the NHS and has a keen interest in the analysis of datasets with Mental Health outcomes (from both observational as well as experimental studies).
Inhaltsangabe
Foreword 1. Introduction 2. Temporary names, variables and files 3. Macros and other data storage mechanisms used by Stata 4. Variables, variable names, value label names, value labels & values 5. Loops 6. Append, Merge & Collapse 7. Reshape 8. Dates 9. BITS & BOBS 10. Helpful hints when doing regression 11. Time series operators and survival analyses 12. Exporting output 13. Stata Programming 14. Tables of Baseline Characteristics 15. Automated Reporting 16. pretty_baseline package for easy tables 17. Tables with output from statistical tests
Foreword 1. Introduction 2. Temporary names, variables and files 3. Macros and other data storage mechanisms used by Stata 4. Variables, variable names, value label names, value labels & values 5. Loops 6. Append, Merge & Collapse 7. Reshape 8. Dates 9. BITS & BOBS 10. Helpful hints when doing regression 11. Time series operators and survival analyses 12. Exporting output 13. Stata Programming 14. Tables of Baseline Characteristics 15. Automated Reporting 16. pretty_baseline package for easy tables 17. Tables with output from statistical tests
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