Date:         Wed, 10 May 2006 08:16:26 -0400
Reply-To:     Jonas Bilenas <jonas.bilenas@CHASE.COM>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         Jonas Bilenas <jonas.bilenas@CHASE.COM>
Subject:      Re: jackknife concept

On Tue, 9 May 2006 17:49:53 -0400, Luo, Peter <pluo@DRAFTNET.COM> wrote:

>David, for what Jonas was trying to do, i.e. to get some 'error' estimates
>for model predictors, is N sub-samples or N bootstrapping samples the
better
>method?
>
I modified the code a bit, based on suggestions from David.  Similar but
different results:

%macro boot(iter);

proc surveyselect data=reg out=outdata
    rep=&ITER method=urs samprate=1 outhits;
  run;

%do i=1 %to &iter;
 ods listing close;
 ods output ParameterEstimates=bout;
 proc logistic data=outdata;
  where replicate=&i;
  model bad=&ivs;
  run;
  ods output close;

  proc transpose data=bout out=bt&i;
    var estimate;
    id variable;
  run;
  %if "&i" ne "1" %then %do;
    proc append base=bt1 data=bt&i;
    run;
  %end;
%end;
ods listing;


proc means data=bt1 mean min max std n nmiss;
  run;
%mend;

%boot(20);