Introduction to Stata for Health Researchers

Häftad, Engelska, 2021

879 kr

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Beskrivning

An Introduction to Stata for Health Researchers, Fifth Edition updates this classic book that has become a standard reference for health researchers. As with previous editions, readers will learn to work effectively in Stata to perform data management, compute descriptive statistics, create meaningful graphs, fit regression models, and perform survival analysis. The fifth edition adds examples of performing power, precision, and sample-size analysis; working with Unicode characters; managing data with ICD-9 and ICD-10 codes; and creating customized tables.With many worked examples and downloadable datasets, this text is the ideal resource for hands-on learning, whether for students in a statistics course or for researchers in fields such as epidemiology, biostatistics, and public health who are learning to use Stata's tools for health research.

Produktinformation

Utgivningsdatum:2021-09-01
Mått:228 x 24 x 189 mm
Vikt:730 g
Format:Häftad
Språk:Engelska
Antal sidor:332
Upplaga:5
Förlag:Stata Press
ISBN:9781597183154

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Mer om författaren

Svend Juul is a former associate professor, now a part-time lecturer, in epidemiology at the School of Public Health, Aarhus University. Juul has extensive experience in teaching epidemiology to medical students and others and in teaching Stata and other computer programs to PhD students in the health sciences.Morten Frydenberg is a former associate professor of biostatistics at the Department of Public Health, Aarhus University. He has a PhD in theoretical statistics and more than 25 years of experience as a biostatistical consultant in health sciences. Frydenberg has taught numerous courses in applied biostatistics at both graduate and postgraduate levels. He now works as a private biostatistical consultant.

Innehållsförteckning

I The basics 1. Getting started 2. Getting help—and more 3. Command syntax II Data management 4. Variables 5. Getting data in and out of Stata 6. Adding explanatory text to data 7. Calculations 8. Commands affecting data structure 9. Taking good care of your data III Analysis 10. Description and simple analysis 11. Regression analysis 12. Time-to-event data 13. Power, precision, and sample-size analysis 14. Measurement and diagnosis 15. Miscellaneous IV Graphs 16. Graphs V Advanced topics 17. Advanced topics