Currently my forest plots for subgroup analysis (not for meta-analysis) in R are like the following...
library("dplyr")
library(ggplot2)
library(survminer)
library(survival)
library(forestmodel)
pretty_lung <- lung %>%
transmute(time,
status,
Age = age,
Sex = factor(sex, labels = c("Male", "Female")),
ECOG = factor(lung$ph.ecog),
`Meal Cal` = meal.cal)
print(forest_model(coxph(Surv(time, status) ~ ., pretty_lung)))
However, the sizes/heights of the squares are not proportional to the subgroup sample size. Is there a way to fix that (as in this example: https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(05)61026-4/fulltext)?