Notice: On March 31, it was **announced** that Statalist is moving from an email list to a **forum**. The old list will shut down on April 23, and its replacement, **statalist.org** is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Kyleigh Schraeder <kyschraeder@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: population weights question |

Date |
Tue, 21 Feb 2012 16:17:36 -0500 |

Hi statalisters, I would like to compare a national health survey dataset to an independently collected clinic dataset. The clinic dataset was not weighted. I am having some difficulty understanding how to employ the complex survey variables that were employed for the national dataset. The design variables for the national dataset are: xwgtreg (sampling weight variable), strata (strata variable, 19 strata), schlid (primary sampling unit/cluster - school id number). Although national health survey data was collected from a representative sample of grade 7-12 students (N exceeds 7,000 students), I only want to look at students between the ages 15-19 from one stratum (stratum 19). I am also interested in gender differences between the national dataset and clinic dataset. I am wondering how to (and if I need to) -stset- the national health survey data for analysis. I have used the following commands: use nationaldataset keep if strata==19 keep if Age==16|Age==17|Age==18|Age==19 svyset schlid [pweight=xwgtreg], strata(strata) **Then I ran tabulate and other descriptive commands. In order to calculate appropriate variance estimates/confidence intervals, and p-values, I have created subpopulations for gender analyses. I read that this step is necessary when analyzing survey data using compex survey procedures..? Is this necessary? gen Subpopmale = . label variable Subpopmale "Subpopulation1: males 16 to 19 years old" replace Subpopmale = 0 if (Gender == 2) replace Subpopmale = 1 if (Gender == 1) label define Subpopmale 1 "male" 0 "female" label values Subpopmale Subpopmale *For example svy, subpop(Subpopmale): tabulate Mother_education **In order to compare the national health survey dataset to the clinic dataset, I have used the following commands use clinicdataset append using nationaldataset replace samptype = 2 if sample==. label define samptype 1 "clinic" 2 "national" label values samptype samptype svyset schlid [pweight=xwgtreg], strata(strata) I'm having some trouble running relative risk ratios on the combined dataset. I don't quite understand if the population weights are being accounted for by the national dataset. . Thanks in advance for your help, Kyleigh * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

- Prev by Date:
**Re: st: Which inverter? (was: RE: RE: ivreg2 weak-id statistic and quadratic terms)** - Next by Date:
**st: Simulating time series with if else condition** - Previous by thread:
**Re: st: AW: population weights question** - Next by thread:
**st: missing factor variables in table of estimates** - Index(es):