
Hello,
 
I am using the clogit (conditional logistic regression) on a simple data set which is not related to survivorship, which I understand to be fine.
 
I have trouble understanding the output. I would like to find parameter estimates of the logistic models I am constructing with R, and am unclear as to what the coefficients represent that are provided.  
 
The below is a copy of my output.
 
> summary(clogit(Pluv~Clay+ Veg+ Grav+ Cobb+ strata(Site), data=microsite1))Call:coxph(formula = Surv(rep(1, 50L), Pluv) ~ Clay + Veg + Grav +     Cobb + strata(Site), data = microsite1, method = "exact")
  n= 50        coef exp(coef) se(coef)      z     pClay -14.15  7.16e-07     8.43 -1.679 0.093Veg   -4.13  1.60e-02    13.04 -0.317 0.750Grav  -6.93  9.76e-04     8.63 -0.803 0.420Cobb  17.70  4.89e+07    15.37  1.152 0.250
     exp(coef) exp(-coef) lower .95 upper .95Clay  7.16e-07   1.40e+06  4.79e-14  1.07e+01Veg   1.60e-02   6.23e+01  1.27e-13  2.02e+09Grav  9.76e-04   1.02e+03  4.42e-11  2.16e+04Cobb  4.89e+07   2.05e-08  4.03e-06  5.93e+20
Rsquare= 0.397   (max possible= 0.5 )Likelihood ratio test= 25.3  on 4 df,   p=4.46e-05Wald test            = 3.8  on 4 df,   p=0.434Score (logrank) test = 14.3  on 4 df,   p=0.00625
Any help is greatly appreciated,
Thank you,
Carmen
 
_________________________________________________________________

n more at SignInAndWIN.ca

	[[alternative HTML version deleted]]

