A Comprehensive Guide to Coding and Programming in Stata
eBook - ePub

A Comprehensive Guide to Coding and Programming in Stata

  1. 176 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

A Comprehensive Guide to Coding and Programming in Stata

About this book

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.

For those who are involved in the analyses of observational studies, the need to sometimes assemble large datasets will necessitate a detailed understanding of loops and macros. This book covers these materials early on and then describes other commonly required coding commands.

For those who program in a controlled environment (.e.g. medical statisticians who perform analyses for regulatory bodies), the production of log files, a suggested folder structure and analysis pathway are covered. This book also includes a wide range of tabulation commands and other methods of producing tables of descriptive statistics. The text also then provides a clear explanation of how to perform some inferential analyses (including how to extract and format the coefficients for use in subsequent reports).

The focus on coding allows beginners to grasp the basics of coding and programming, as well as allowing established researchers to hone their skills and become more advanced programmers.

Key Features:

  • Covers the fundamental of using and understanding Stata.
  • Able to be used by anyone looking to learn the basics of coding.
  • Introduces and explains difficult concepts such as macros from the outset.

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Yes, you can access A Comprehensive Guide to Coding and Programming in Stata by Rafael Gafoor in PDF and/or ePUB format, as well as other popular books in Mathematics & Biostatistics. We have over one million books available in our catalogue for you to explore.

Information

Edition
1

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Foreword
  7. About the Author
  8. Chapter 1 â–  Introduction
  9. Chapter 2 â–  Temporary Names, Variables and Files
  10. Chapter 3 â–  Macros and Other Data Storage Mechanisms Used by Stata
  11. Chapter 4 â–  Variables, Variable Names, Value Label Names, Value Labels and Values
  12. Chapter 5 â–  Loops
  13. Chapter 6 â–  Append, Merge and Collapse
  14. Chapter 7 â–  Reshape
  15. Chapter 8 â–  Dates
  16. Chapter 9 â–  Bits and Bobs
  17. Chapter 10 â–  Helpful Hints When Doing Regression
  18. Chapter 11 â–  Time Series Operators and Survival Analyses
  19. Chapter 12 â–  Exporting Output
  20. Chapter 13 â–  Stata Programming
  21. Chapter 14 â–  Tables of Baseline Characteristics
  22. Chapter 15 â–  Automated Reporting
  23. Chapter 16 â–  pretty_suite Packages for Easy Tables
  24. Chapter 17 â–  Tables with Output from Statistical Tests
  25. Index