An introduction to Stata for health researchers:
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
College Station, Texas
Stata Press
2021
|
| Edition: | Fifth edition |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | [xxiv], 332 Seiten Diagramme |
| ISBN: | 9781597183154 |
Staff View
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Contents List of tables xi List of figures xiii Preface to the fifth edition xvii Preface to the first edition xix Online supplements xxi Notations in this book xxiii I The basics 1 1 Getting started 3 1.1 Installing and updatingStata. 3 1.2 Starting and exiting Stata. 7 1.3 Windows in Stata. 9 1.4 Issuing commands . 15 1.5 Managing output. 17 1.6 Stata file types and names. 19 1.7 Keyboard shortcuts. 21 2 3 Getting help—and more 23 2.1 The help and search commands. 23 2.2 The complete Stata manuals . 27 2.3 Other resources. 28 Command syntax 31 3.1 General syntax rules . 31 3.2 Syntax diagrams. 31 3.3 Lists of variables and
numbers. 33 3.4 Qualifiers. 34
vi II 4 5 6 7 Contents 3.5 Weights. 35 3.6 Options. 36 3.7 Prefixes. 37 3.8 Other syntax elements. 37 3.9 Version control. 39 3.10 Commands that influence programflow. 39 3.11 Errors and error messages. 41 Data management 43 Variables 45 4.1 45 Numeric variables. 4.2 Missing values . 47 4.3 Storage types and precision. 49 4.4 Date and time variables. 51 4.5 String variables. 55 4.6 Memory considerations. 60 Getting data in and out of Stata 61 5.1 Opening and saving Stata
data. 61 5.2 Entering data. . · 64 5.3 Exchanging data with other software. 65 Adding explanatory text to data 69 6.1 Variable and value labels. 69 6.2 Dataset label and notes. 72 Calculations 73 7.1 generate and replace . 73 7.2 Operators and functions in calculations. 75 7.3 The egen command. 78 7.4 Recoding variables. 80 7.5 Checking correctness of calculations. 81 7.6 Giving numbers to observations 82 .
Contents vii 8 Commands affecting data structure 85 8.1 Selecting observations and variables. 85 8.2 Renaming and reordering variables. 86 8.3 Sorting data. 87 8.4 Combining files. 87 8.5 Restructuring data. 92 9 Taking good care of your data 97 9.1 Folders, filenames, variable names, and labels. 98 9.2 Data management. 101 9.3 Analysis. 112 9.4 Protect your data. 113 III Analysis 10 11 115 Description and simple analysis 117 10.1 Overview of a dataset. 117 10.2 Listing observations. 120 10.3 Simple tables for categorical variables. 122 10.4 Analyzing binary
variables. 127 10.5 Analyzing continuous variables. 132 10.6 Estimating confidence intervals. 141 10.7 Immediate commands. 142 Regression analysis 145 11.1 Linear regression. 145 11.2 Regression postestimation . 148 11.3 Categorical predictors—factor variables. 150 11.4 Interactions in regression models. 156 11.5 Logistic regression. 163 11.6 Other regression models . 169 11.7 Nonindependent observations. 169 11.8 Bootstrapping. 171
viii 12 13 14 15 Contents Time-to-event data 175 12.1 Setting the time scale and event: The stset command. 177 12.2 The Kaplan-Meier survival function. 179 12.3 Tabulating rates. 182 12.4 Cox proportional hazards regression. 185 12.5 Preparing data for advanced survival analyses. 191 12.6 Advanced survival modeling. 193 12.7 Poisson regression 197 . Power, precision, and sample-size analysis 201 13.1 Power analysis . 201 13.2 Precision analysis. 205 13.3 Power by simulation—A superiority study. 206 Measurement and diagnosis 209 14.1 Comparing two measurements. 209 14.2 Reproducibility of measurements. 213 14.3 Using tests for diagnosis. 216 Miscellaneous 225 15.1 Random samples, simulations
. 225 15.2 Working with diagnoses. 222 15.3 Preparing tables for publication. 236 15.4 Including graphs in Word and PDF files. 247 15.5 Profile.do changing the ado-path. 250 15.6 Unicode and ASCII encoding of characters . 251 15.7 Other analyses. 251 IV Graphs 253 16 Graphs 255 16.1 Anatomy of a graph. 256 16.2 Anatomy of graph commands. 257 16.3 Graph size 258
Contents ix 16.4 Schemes. 261 16.5 Graph options: Axes. 263 16.6 Graph options: Text elements. 268 16.7 Plot options: Markers, lines, etc. 272 16.8 Histograms and other distribution graphs. 277 16.9 Twoway graphs: scatterplots and line plots. 281 16.10 Bar graphs. 291 16.11 By-graphs and combined graphs. 297 16.12 Saving and exporting graphs. 299 У Advanced topics 303 17 Advanced topics 305 17.1 Using stored results. 305 17.2 Macros and scalars. 310 17.3 Some useful commands. 313 17.4 Programs . 317 17.5 Debugging programs and complex
commands. 321 References 323 Author index 325 Subject index 327 |
| adam_txt |
Contents List of tables xi List of figures xiii Preface to the fifth edition xvii Preface to the first edition xix Online supplements xxi Notations in this book xxiii I The basics 1 1 Getting started 3 1.1 Installing and updatingStata. 3 1.2 Starting and exiting Stata. 7 1.3 Windows in Stata. 9 1.4 Issuing commands . 15 1.5 Managing output. 17 1.6 Stata file types and names. 19 1.7 Keyboard shortcuts. 21 2 3 Getting help—and more 23 2.1 The help and search commands. 23 2.2 The complete Stata manuals . 27 2.3 Other resources. 28 Command syntax 31 3.1 General syntax rules . 31 3.2 Syntax diagrams. 31 3.3 Lists of variables and
numbers. 33 3.4 Qualifiers. 34
vi II 4 5 6 7 Contents 3.5 Weights. 35 3.6 Options. 36 3.7 Prefixes. 37 3.8 Other syntax elements. 37 3.9 Version control. 39 3.10 Commands that influence programflow. 39 3.11 Errors and error messages. 41 Data management 43 Variables 45 4.1 45 Numeric variables. 4.2 Missing values . 47 4.3 Storage types and precision. 49 4.4 Date and time variables. 51 4.5 String variables. 55 4.6 Memory considerations. 60 Getting data in and out of Stata 61 5.1 Opening and saving Stata
data. 61 5.2 Entering data. . · 64 5.3 Exchanging data with other software. 65 Adding explanatory text to data 69 6.1 Variable and value labels. 69 6.2 Dataset label and notes. 72 Calculations 73 7.1 generate and replace . 73 7.2 Operators and functions in calculations. 75 7.3 The egen command. 78 7.4 Recoding variables. 80 7.5 Checking correctness of calculations. 81 7.6 Giving numbers to observations 82 .
Contents vii 8 Commands affecting data structure 85 8.1 Selecting observations and variables. 85 8.2 Renaming and reordering variables. 86 8.3 Sorting data. 87 8.4 Combining files. 87 8.5 Restructuring data. 92 9 Taking good care of your data 97 9.1 Folders, filenames, variable names, and labels. 98 9.2 Data management. 101 9.3 Analysis. 112 9.4 Protect your data. 113 III Analysis 10 11 115 Description and simple analysis 117 10.1 Overview of a dataset. 117 10.2 Listing observations. 120 10.3 Simple tables for categorical variables. 122 10.4 Analyzing binary
variables. 127 10.5 Analyzing continuous variables. 132 10.6 Estimating confidence intervals. 141 10.7 Immediate commands. 142 Regression analysis 145 11.1 Linear regression. 145 11.2 Regression postestimation . 148 11.3 Categorical predictors—factor variables. 150 11.4 Interactions in regression models. 156 11.5 Logistic regression. 163 11.6 Other regression models . 169 11.7 Nonindependent observations. 169 11.8 Bootstrapping. 171
viii 12 13 14 15 Contents Time-to-event data 175 12.1 Setting the time scale and event: The stset command. 177 12.2 The Kaplan-Meier survival function. 179 12.3 Tabulating rates. 182 12.4 Cox proportional hazards regression. 185 12.5 Preparing data for advanced survival analyses. 191 12.6 Advanced survival modeling. 193 12.7 Poisson regression 197 . Power, precision, and sample-size analysis 201 13.1 Power analysis . 201 13.2 Precision analysis. 205 13.3 Power by simulation—A superiority study. 206 Measurement and diagnosis 209 14.1 Comparing two measurements. 209 14.2 Reproducibility of measurements. 213 14.3 Using tests for diagnosis. 216 Miscellaneous 225 15.1 Random samples, simulations
. 225 15.2 Working with diagnoses. 222 15.3 Preparing tables for publication. 236 15.4 Including graphs in Word and PDF files. 247 15.5 Profile.do changing the ado-path. 250 15.6 Unicode and ASCII encoding of characters . 251 15.7 Other analyses. 251 IV Graphs 253 16 Graphs 255 16.1 Anatomy of a graph. 256 16.2 Anatomy of graph commands. 257 16.3 Graph size 258
Contents ix 16.4 Schemes. 261 16.5 Graph options: Axes. 263 16.6 Graph options: Text elements. 268 16.7 Plot options: Markers, lines, etc. 272 16.8 Histograms and other distribution graphs. 277 16.9 Twoway graphs: scatterplots and line plots. 281 16.10 Bar graphs. 291 16.11 By-graphs and combined graphs. 297 16.12 Saving and exporting graphs. 299 У Advanced topics 303 17 Advanced topics 305 17.1 Using stored results. 305 17.2 Macros and scalars. 310 17.3 Some useful commands. 313 17.4 Programs . 317 17.5 Debugging programs and complex
commands. 321 References 323 Author index 325 Subject index 327 |
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| spelling | Juul, Svend Verfasser (DE-588)1095269321 aut An introduction to Stata for health researchers Svend Juul, Morten Frydenberg Fifth edition College Station, Texas Stata Press 2021 [xxiv], 332 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Stata (DE-588)4617285-3 gnd rswk-swf Stata (DE-588)4617285-3 s DE-604 Frydenberg, Morten 19XX- Verfasser (DE-588)1244300500 aut Erscheint auch als Online-Ausgabe, EPUB 978-1-59718-316-1 Erscheint auch als Online-Ausgabe, MOBI 978-1-59718-317-8 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032836319&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| title | An introduction to Stata for health researchers |
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| title_exact_search | An introduction to Stata for health researchers |
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| title_full | An introduction to Stata for health researchers Svend Juul, Morten Frydenberg |
| title_fullStr | An introduction to Stata for health researchers Svend Juul, Morten Frydenberg |
| title_full_unstemmed | An introduction to Stata for health researchers Svend Juul, Morten Frydenberg |
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