 |
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: st: Interpretation of regressionmodel of ln-transformed variable
|
From |
"roland andersson" <[email protected]> |
|
To |
[email protected] |
|
Subject |
Re: st: Interpretation of regressionmodel of ln-transformed variable |
|
Date |
Wed, 5 Nov 2008 16:35:34 +0100 |
Thanks a lot. I learned a lot by these examples.
Sorry Your first name sounded danish - did not look to well on the adress.
Greetings
Roland
2008/11/5 Maarten buis <[email protected]>:
> Sounds correct (though I can only certify the parts of the message in
> English or Stata)
>
> -- Maarten
>
> --- roland andersson <[email protected]> wrote:
>
>> Maarten
>>
>> Det er jo glimrende o dejlig
>>
>> Just to assure I have understood. In this model I keep age 10-19 and
>> non-perforated appendicitis (the largest groups) as reference level
>> so
>> I do not bother with mean centering with age.
>>
>>
>> lnLOS exp(b) Std. Err. t P>t
>> [95% Conf. Interval]
>>
>> lapscopy 1.015229 .0069404 2.21 0.027 1.001716
>> 1.028924
>> _Iappdgn2_1 1.854565 .0133561 85.76 0.000 1.828571
>> 1.880929
>> _Iappdgn2_3 1.172527 .0139403 13.39 0.000 1.14552
>> 1.200171
>> _Ialderkat_0 1.113349 .0124712 9.59 0.000 1.089172
>> 1.138063
>> _Ialderka~20 .9669727 .0081023 -4.01 0.000 .9512217
>> .9829846
>> _Ialderka~30 1.013716 .0091096 1.52 0.130 .9960177
>> 1.03173
>> _Ialderka~40 1.074382 .0115025 6.70 0.000 1.052072
>> 1.097165
>> _Ialderka~50 1.181179 .0134386 14.64 0.000 1.15513
>> 1.207815
>> _Ialderka~60 1.309059 .0192205 18.34 0.000 1.271924
>> 1.347279
>> _Ialderka~70 1.685401 .0312085 28.19 0.000 1.625328
>> 1.747694
>> _Ialderka~80 2.303874 .0611701 31.43 0.000 2.187045
>> 2.426943
>> prepermalign 1.190686 .027653 7.51 0.000 1.137701
>> 1.24614
>> precardios~s 1.024731 .0266026 0.94 0.347 .9738935
>> 1.078222
>> preperlung~d 1.076669 .0182661 4.35 0.000 1.041456
>> 1.113073
>> preperhype~i 1.024272 .0208447 1.18 0.239 .9842196
>> 1.065954
>> preperhjar~t 1.293909 .0480737 6.94 0.000 1.203033
>> 1.391651
>> prepernjur~t 1.050412 .0516992 1.00 0.318 .953814
>> 1.156792
>> preperdiab~s 1.168423 .0287019 6.34 0.000 1.113499
>> 1.226055
>> cons 1.858693 .0106446 108.24 0.000 1.837946
>> 1.879675
>>
>> And here I calculate the effect of laparoscopy
>>
>> . nlcom exp((_b[cons]+ _b[lapscopy]) - exp((_b[cons])))
>>
>> _nl_1: exp((_b[cons]+ _b[lapscopy]) - exp((_b[cons])))
>>
>>
>> vtidln Coef. Std. Err. t P>t [95% Conf. Interval]
>>
>> _nl_1 .2941382 .0027509 106.92 0.000 .2887463
>> .2995302
>>
>> ie open appendectomy in nonperforated patients age 10-19 have a
>> geometric mean LOS of 1.86 (95% CI 1.83-1.88) days after adjustment
>> for comorbidity and lapscopy patients have 0.29 (95% CI 0.28-0.30)
>> days longer LOS.
>>
>> Correct?
>>
>> Greetings o stort tack
>>
>> Roland Andersson
>
>
> -----------------------------------------
> Maarten L. Buis
> Department of Social Research Methodology
> Vrije Universiteit Amsterdam
> Boelelaan 1081
> 1081 HV Amsterdam
> The Netherlands
>
> visiting address:
> Buitenveldertselaan 3 (Metropolitan), room N515
>
> +31 20 5986715
>
> http://home.fsw.vu.nl/m.buis/
> -----------------------------------------
>
>
>
> *
> * 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/