I am running the following logistic mixed model in lme4:
CAPS_PDI_Cond25_CV<- glmer(Response ~ caps_AvSev.ct + pdi_AvSev.ct + Av_dBSNR.ct + num_train.ct + (1|Pt_ID), family= binomial, data = lme.df_25,control=glmerControl(optimizer="bobyqa"))
I am getting the following model results:
Fixed effects: Estimate Std. Error z value Pr(>|z|) (Intercept) -1.046e+00 1.050e-01 -9.960 < 2e-16 ***caps_AvSev.ct 4.805e-02 3.384e-02 1.420 0.156 pdi_AvSev.ct 8.753e-06 3.217e-02 0.000 1.000 Av_dBSNR.ct 1.835e-01 3.909e-02 4.695 2.66e-06 ***num_train.ct -3.883e-03 5.005e-03 -0.776 0.438 ---Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘’ 1
Why do I get a p-value of 1 for pdi_AvSev.ct?