1. Tricks in Stata Anke Huss Generating „automatic“ tables in a do-file

2. Why programming tables? It‘s much more writing in the do-file! BUT: once you have done it, the next one will be faster (copy & paste...) No more troubles with updates of your data No more copying mistakes, because Stata does it for you

3. Caerphilly castle Used data: Caerphilly Prospective study (CAPS) download at: www.blackwellpublishing.com/ essentialmedstats/datasets.htm

5. Basic idea Use the Stata data sheet for your table- to-be

6. illn MI diabetes % 19.48 1.85

7. Stored results in r() and e() Use stored results usually from r-class: results after general commands such as summarize are saved in r() and generally must be used before executing more commands. For an overview type: return list e-class: results from estimation commands (regress/logictic…) are saved in e() until the next model is fitted. Overview: ereturn list

8. Steps 1.DESIGN TABLE FIRST: what do I want my table to look like? 2.generate a new variable for each column 3.replace cell with number of interest 4.use „outsheet“ to write your new variables in text/ excel file

9. Example 1 1. DESIGN FIRST: what do I want my table to look like? E.g.: Illness % Myocardial inf 19.48 diabetes 1.85

10. Example 1 2. Generate a new variable for each column gen str illness = ““ gen percent =. Illness %

11. Example 1 3. Replace cell with contents/ number of interest: first column sort id replace illness = “myocardial inf“ in 1 replace illness = “diabetes“ in 2 Illness % Myocardial inf diabetes

12. Example 1 3. Replace cell with contents/ number of interest: second column sum mi sort id replace percent = r(mean)*100 in 1 sum diabetes sort id replace percent = r(mean)*100 in 2 format percent %9.2f Illness % Myocardial inf 19.48 diabetes 1.85

13. Example 1 4. use „outsheet“ to write your new variables in text/ excel file outsheet illness percent in 1/2 using textres/illns.txt For further *comment 1: this works only if you have set STATA to work in a specific STATA folder. Eg: cd "d:/Statistisches/automatic_tables/STATA„ *comment 2: you can also export as excel file (*.xls), but automatic import of new textfile lets graphics survive...

14. Example 1 *Alternative way to do the same: program a small loop: gen str name = "" gen percent =. local i = 1 foreach var of varlist mi diabetes { replace name = “`var'“ in `i' sum `var' sort id replace percent = r(mean)*100 in `i' local i = `i' + 1 } format percent %9.2f

15. Example 2 1. DESIGN TABLE FIRST: Categorypercent underweight 4.20 normal32.03 overweight51.29 obese12.49

16. Example 2 2. Generate a new variable for each column gen str category = "" gen percent =. Categorypercent

17. Example 2 3. Replace cell with contents/ number of interest: first column sort id replace category = "underweight" in 1 replace category = "normal" in 2 replace category = "overweight" in 3 replace category = "obese" in 4 Categorypercent underweight normal Overweight obese

18. Example 2 3. Replace cell with numbers: second column ta bmicat, gen (bminew) *4 lines with percentages *4 variables with ending in numbers from 1 to 4 --- LOOP! forvalues i = 1/4 { sum bminew`i' sort id replace percent = r(mean)*100 in `i' } format percent %9.2f Categorypercent underweight 4.20 normal32.03 Overweight51.29 obese12.49

19. Example 2 4. Outsheet...same as in example 1

20. Less writing... label list bmicat capture drop percent category bminew* ta bmicat, gen (bminew) gen category =. gen percent =. forvalues i = 1/4 { sum bminew`i' sort id replace category = `i' in `i' replace percent = r(mean)*100 in `i' } label values category bmicat format percent %9.2f

23. Example 3 1. THINK FIRST: table after logistic reg. Myocardial infarctionORucilcipval Current smoking (+ age) Current smoking(+ age + bmi)

24. Example 3 2. Generate a new variable for each column gen str currsmok = "" gen OR =. gen uci =. gen lci =. gen pval =.

25. Example 3 3. Replace cell with contents/ number of interest: first column sort id replace currentsm = "current smoking" in 1 replace currentsm = "current smoking + age" in 2 replace currentsm = "current smoking + age + bmi" in 3

26. Example 3 3. Replace cell with numbers: second column logistic mi cursmoke sort id replace OR = exp(_b[cursmoke]) in 1 replace lci = exp(_b[cursmoke] - 1.96*_se[cursmoke]) in 1 replace uci = exp(_b[cursmoke] + 1.96*_se[cursmoke]) in 1 est store A logistic mi est store B lrtest A B sort id replace pval = r(p) in 1... In lines 2 and 3

27. Example 3 4. outsheet...as in example 1

28. Resulting table Myocardial infarctionORucilcipval Current smoking1.742.221.366.76e -06 Current smoking (+ age) 1.672.181.280 Current smoking(+ age + bmi)1.822.401.390

29. Other way to save results after estimation commands Use the statsby command: eg: statsby "logistic mi diabetes smoking" _b _se, saving (D:\Statistisches\automatic_tables\STATA\data\caerphillysta tsby.dta) replace Statsby will collapse your dataset! Store results in a new dataset and open the original file again. Rerun " statsby " with next variables and append data to first stored results.