From: Minyu Chen <minyu.chen_at_ucl.ac.uk>

Date: Fri 27 Oct 2006 - 16:54:22 GMT

R-help@stat.math.ethz.ch mailing list

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Sat Oct 28 17:58:49 2006

Date: Fri 27 Oct 2006 - 16:54:22 GMT

Dear All:

I run a logistic regression (using lrm in the Design package), and after that, I use the command "summary" to get the marginal effects of each variable. But one strange thing happens on my binary dependent variable: The marginal effect of it jumping from 0 to 1 is 1.77. I believe the marginal effect of binary variable x1 has interpretation should be P(Y=1|x1=1, x2...)-P(Y=1|x1=0,x2...). As both terms lies in [0,1], their difference shouldn't be larger than 1.

Besides this, I also get some boundary number for the marginal effect of the same binary variable (in datasets of other years)like .98, . 97, with which I am not comfortable either. I suspect I did something wrong.

This is part of my model:

> resultt1

Logistic Regression Model

lrm(formula = typemort ~ adv_binc_ratio + agem1 + regEA + regEM +

regGL + regN + regNI + regNW + regS + regSW + regW + regWM + regY + repmethIO + repmethSR + no_dis_no_def + prevLO + prevOO + prevRP + owning + adv_binc_ratio * (repmethIO + repmethSR + no_dis_no_def + prevLO + prevOO + prevRP + owning) + agem1 * (repmethIO + repmethSR + no_dis_no_def + prevLO + prevOO + prevRP + owning), data = a)

This is part of my result:

> summary(resultt1,adv_binc_ratio=mean(a$adv_binc_ratio),agem1=mean(a

$agem1),repmethIO=c(0,mean(a$repmethIO),1),repmethSR=c(0,mean(a

*$repmethSR),1),no_dis_no_def=c(0,mean(a$no_dis_no_def),1),prevLO=c
*

(0,mean(a$prevLO),1),prevOO=c(0,mean(a$prevOO),1),prevRP=c(0,mean(a

$prevRP),1),regEA=c(0,mean(a$regEA),1),regEM=mean(a$regEM),regGL=mean

(a$regGL),regN=mean(a$regN),regNI=mean(a$regNI),regNW=mean(a

$regNW),regS=mean(a$regS),regSW=mean(a$regSW),regW=mean(a

*$regW),regWM=mean(a$regWM),regY=mean(a$regY),owning=c(0,mean(a
**$owning),1))
*

Effects Response : typemort

Factor Low High Diff. Effect S.E. Lower 0.95 Upper 0.95 no_dis_no_def 0.0000 1.0000 1.0000 1.76 0.03 1.69 1.82 Odds Ratio 0.0000 1.0000 1.0000 5.79 NA 5.41 6.19

Adjusted to: adv_binc_ratio=2.611027 agem1=40.47638 repmethIO=0.1456293 repmethSR=0.6711471 no_dis_no_def=0.4463533 prevLO=0.06590113 prevOO=0.7785591 prevRP=0.06738472 owning=0.4765593

Thank you very much for your help.

Thanks,

Minyu Chen

R-help@stat.math.ethz.ch mailing list

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Sat Oct 28 17:58:49 2006

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