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| From | "Hartman, Rob" <rhartman@mitre.org> |
| To | "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
| Subject | RE: st: Bootstrapped Paired-Samples (Dependent) T-Test |
| Date | Fri, 28 Jan 2011 16:15:44 -0500 |
Thanks, Ariel. I was nervous about goofing up resampling of clusters, but this works like a charm and does indeed give same results as the more complicated syntax. Rob Hartman, PhD Applied Psychologist The MITRE Corporation Social, Behavioral, and Linguistic Sciences Office: 614-447-3441 Cell: 571-327-4714 -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Ariel Linden, DrPH Sent: Friday, January 28, 2011 4:11 PM To: statalist@hsphsun2.harvard.edu Subject: RE: st: Bootstrapped Paired-Samples (Dependent) T-Test A more simple command that will elicit the same results as your regress statement below is: bootstrap, rep(100) seed(123): regress bp when, clus( patient) Ariel Date: Thu, 27 Jan 2011 12:28:43 -0500 From: "Hartman, Rob" <rhartman@mitre.org> Subject: RE: st: Bootstrapped Paired-Samples (Dependent) T-Test My original objective was to employ bootstrapping, and as far as I know, you can't employ bootstrapping in a paired t-test context. If there is a way, and I'm just confused on how to apply the bootstrapping syntax: (1) apologies, (2) I welcome a tip on the syntax. Beyond that, my plan was to use the third regression approach below (w/ more reps). set seed 123 sysuse bplong, clear regress bp when regress bp when, cluster(patient) regress bp when, cluster(patient) vce(bootstrap (_b[when]),rep(10) seed(123)) nodots Rob Hartman, PhD Applied Psychologist The MITRE Corporation Social, Behavioral, and Linguistic Sciences Office: 614-447-3441 Cell: 571-327-4714 * * 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/ * * 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/