Incluye bibliografía: páginas 311-312 e índice: páginas 206-320

List of tables.. List of figures.. Preface to the fourth edition.. Preface to the first edition.. Online supplements.. Notations in this book.. I The basics.. 1 Getting started.. 1.1 Installing and updating Stata.. 1.2 Starting and exiting Stata.. 1.3 Windows in Stata.. 1.4 Issuing commands.. 1.5 Managing output.. 2 Getting help-and more.. 2.1 The help and search commands.. 2.2 The PDF documentation.. 2.3 Other resources.. 3 Stata file types and names.. 4 Command syntax.. 4.1 General syntax rules.. 4.2 Syntax diagrams.. 4.3 Lists of variables and numbers.. 4.4 Qualifiers.. 4.5 Weights.. 4.6 Options.. 4.7 Prefixes.. 4.8 Other syntax elements.. 4.9 Version control.. 4.10 Errors and error messages.. II Data management.. 5 Variables.. 5.1 Numeric formats.. 5.2 Missing values.. 5.3 Storage types and precision.. 5.4 Date and time variables.. 5.5 String variables.. 5.6 Memory considerations.. 6 Getting data in and out of Stata.. 6.1 Opening and saving Stata data.. 6.2 Entering data.. 6.3 Exchanging data with other programs.. 7 Documentation commands.. 7.1 Labels.. 8 Calculations.. 8.1 generate and replace.. 8.2 Operators and functions in calculations.. 8.3 The egen command.. 8.4 Recoding variables.. 8.5 Checking correctness of calculations.. 8.6 Giving numbers to observations.. 9 Commands affecting data structure.. 9.1 Selecting observations and variables.. 9.2 Renaming and reordering variables.. 9.3 Sorting data.. 9.4 Combining files.. 9.5 Reshaping data.. 10 Taking good care of your data.. 10.1 The audit trail.. 10.2 Collecting and entering data.. 10.3 Data management.. 10.4 Analysis.. 10.5 Protect your data.. 10.6 Archiving the project.. III Analysis.. 11 Description and simple analysis.. 11.1 Overview of a dataset.. 11.2 Listing observations.. 11.3 Simple tables for categorical variables.. 11.4 Epidemiologic tables.. 11.5 Analyzing continuous variables.. 11.6 Finding confidence intervals.. 11.7 Immediate commands

12 Regression analysis.. 12.1 Linear regression.. 12.2 Regression postestimation.. 12.3 Categorical predictors-factor variables.. 12.4 Interactions in regression models.. 12.5 Logistic regression.. 12.6 Other regression models.. 12.7 Nonindependent observations.. 13 Time-to-event data.. 13.1 Setting the time scale and event: The stset command.. 13.2 The Kaplan-Meier survival function.. 13.3 Tabulating rates.. 13.4 Cox proportional hazards regression.. 13.5 Preparing data for advanced survival analyses.. 13.6 Advanced survival modeling.. 13.7 Poisson regression.. 13.8 Standardization.. 14 Measurement and diagnosis.. 14.1 Comparing two measurements.. 14.2 Reproducibility of measurements.. 14.3 Using tests for diagnosis.. 15 Miscellaneous.. 15.1 Random samples, simulations.. 15.2 Power and sample-size analysis.. 15.3 Commands that influence program flow.. 15.4 Decimal periods and commas.. 15.5 Logging output permanently.. 15.6 Other analyses.. IV Graphs.. 16 Graphs.. 16.1 Anatomy of a graph.. 16.2 Anatomy of graph commands.. 16.3 Graph size.. 16.4 Schemes.. 16.5 Graph options: Axes.. 16.6 Graph options: Text elements.. 16.7 Plot options: Markers, lines, etc. .. 16.8 Histograms and other distribution graphs.. 16.9 Twoway plots: scatterplots and line plots.. 16.10 Bar graphs.. 16.11 By-graphs and combined graphs.. 16.12 Saving and exporting graphs.. V Advanced topics.. 17 Advanced topics.. 17.1 Using stored results.. 17.2 Macros and scalars.. 17.3 Some useful commands.. 17.4 Programs.. 17.5 Debugging programs.. VI Appendixes.. A Stata manuals.. B Exercises.. B.1 The user interface.. B.2 Managing output.. B.3 Calculations.. B.4 Working with missing values.. B.5 Working with date variables.. B.6 Description and simple analysis.. B.7 Taking good care of your data.. C Shortcuts and keystrokes.. References.. Author index.. Subject index

An Introduction to Stata for Health Researchers, Fourth Edition methodically covers data management, simple description and analysis, and more advanced analyses often used in health research, including regression models, survival analysis, and evaluation of diagnostic methods. A chapter on graphics explores most graph types and describes how to modify the appearance of a graph before submitting it for publication. The authors emphasize the importance of good documentation habits to prevent errors and wasted time. Demonstrating the use of strategies and tools for documentation, they provide robust examples and offer the datasets for download online. Updated to correspond to Stata 13, this fourth edition is written for both Windows and Mac users. It provides improved online documentation, including further reading in online manuals. Inglés