Create hazard ratio forest plot with intervals?

I'm attempting to create a forest plot based on hazard ratio for Cox model with ggforest. In my data, "CD4" represents the number of CD4 cells measures, and because this varies, I tried to group them as intervals by using the cut () function to symplify my forest plot. However, while the grouping seemed to work, I got a tons of warning messages upon sourcing the script:

The following objects are masked from aids (pos = 3):

    CANNANG, CD4, KETCUC, MABN, NHOM, THOIGIAN

Warning messages:
1: In coxph.fit(X, Y, istrat, offset, init, control, weights = weights,  :
  Loglik converged before variable  1,2 ; coefficient may be infinite. 
2: Transformation introduced infinite values in continuous y-axis 
3: Transformation introduced infinite values in continuous y-axis 
4: Transformation introduced infinite values in continuous y-axis 
5: Transformation introduced infinite values in continuous y-axis 
6: Transformation introduced infinite values in continuous y-axis 
7: Transformation introduced infinite values in continuous y-axis 
8: Transformation introduced infinite values in continuous y-axis 
9: Transformation introduced infinite values in continuous y-axis 
10: Position guide is perpendicular to the intended axis. Did you mean to specify a different guide `position`? 
>

This is how my code goes, other variables such as NHOM (treatment group) and CANNANG (weight) don't trigger any problems:

attach(aids)
aids$CD4 <- cut(aids$CD4,c(15,150,200,350))
aids$CD4 <- as.factor(aids$CD4)
aids$NHOM <- as.factor(aids$NHOM)
aids$CANNANG <- factor(ifelse(aids$CANNANG>=50,">=50","<50"))
coxmod2 <- coxph(Surv(THOIGIAN,KETCUC)~CD4+NHOM+CANNANG,data=aids)
f <- ggforest(coxmod2,data=aids)

As a result of the warning, when I called "f", the plot did not show up at all. Viewing my edited dataset and using the summary function indicated that cut() worked just fine, so I wonder if it's something wrong with my code that rendered ggforest unable to plot intervals.

Any help would be really appreciated. Thank you in advance.

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