An Introduction to Stata for Health Researchers
Designed to assist those working in health research, An Introduction to Stata for Health Researchers explains how to maximize the versatile Stata program for data management, statistical analysis, and graphics for research. The first nine chapters are devoted to becoming familiar with Stata and the essentials of effective data management. The text is also a valuable companion reference for more advanced users. It covers a host of useful applications for health researchers including the analysis of stratified data via epitab and regression models; linear, logistic, and Poisson regression; survival analysis including Cox regression, standardized rates, and correlation/ROC analysis of measurements.
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Stata ﬁle types and names
Getting data in and out of Stata
Commands affecting data structure
Incidence mortality and survival
Measurement and diagnosis
Taking good care of your data
Description and simple analysis
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_cons agegr analysis birthweight calculations case-control cd C:\docs\ishr chi2 clear set scheme codebook codes Command window commas Conf confidence intervals crea create dataset decimal periods default define deﬁned display do-ﬁle Do-ﬁle Editor documentation endage error estimate example ﬁgure ﬁle ﬁnd ﬁrst folder format functions groups Iteration label variable lbwl.dta lincom log likelihood logistic regression macro marker missing values modiﬁcations newlog normal distribution NoteTab Number of obs numlabel observations Odds Ratio Odds Ratio Std option output log plot area Poisson Poisson regression predicted Prob race recode regression analysis renal artery stenosis renogram risk risktime ROC curve scatter mpg weight scatterplot set scheme lean2 Stata Stata commands stenosis string variable stset survival analysis syntax sysuse auto.dta tab2 tabulate Total twoway scatter mpg typing value labels variable names Variable Obs varlist webuse