I have run this model for my data set on insect survival time for different temperature treatments in R. I understand the Wald statistic reports on whether the variable makes a difference to the model but there is also a p-value so i am not sure whther to report the Wald statistic. I have pasted a copy of my result below. Humidity is categorical (a & b) while temperature is continuous.
coxph(formula = Surv(time, death) ~ Humidity + temp) n= 1504, number of events= 1504 coef exp(coef) se(coef) z Pr(>|z|) Hum.b -0.03023 0.97022 0.05695 -0.531 0.595 temp 1.19094 3.29017 0.03360 35.444 <2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 exp(coef) exp(-coef) lower .95 upper .95 Humb 0.9702 1.0307 0.8678 1.085 temp 3.2902 0.3039 3.0805 3.514 Concordance= 0.918 (se = 0.013 ) Rsquare= 0.742 (max possible= 1 ) Likelihood ratio test= 2036 on 2 df, p=0 Wald test = 1281 on 2 df, p=0 Score (logrank) test = 1948 on 2 df, p=0 How do I interpret the Wald test in this case? Really appreciate the help. nj ______________________________________________ R-help@r-project.org 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.