Revert RATET01 updates (temporarily) (#197)

Closes #196

---------

Co-authored-by: shajoezhu <sha.joe.zhu@gmail.com>

Author: edelarua

Diff for: book/tables/efficacy/ratet01.qmd

@@ -5,8 +5,6 @@ subtitle: Event Rate Summary for Recurrent Events
 
 ------------------------------------------------------------------------
 
-{{< include ../../test-utils/envir_hook.qmd >}}
-
 This example will focus on data from a single visit "WEEK 1 DAY 8" and a single endpoint "FKSI-FWB".
 Only evaluable populations will be analyzed.
 
@@ -31,65 +29,9 @@ anl <- df_explicit_na(anl)
 ## Customized Table
 
 ```{r variant1, test = list(result_v1 = "result")}
-lyt <- basic_table(show_colcounts = TRUE) %>%
-  split_cols_by("ARM", ref_group = "B: Placebo", split_fun = ref_group_position("first")) %>%
-  analyze_vars(
-    "AVAL_f",
-    var_labels = "Number of exacerbations per patient",
-    .stats = c("count_fraction"),
-    .formats = c("count_fraction" = "xx (xx.xx%)"),
-    .label = c("Number of exacerbations per patient")
-  ) %>%
-  summarize_glm_count(
-    vars = "AVAL",
-    variables = list(arm = "ARM", offset = "lgTMATRSK", covariates = NULL),
-    conf_level = 0.95,
-    distribution = "poisson",
-    rate_mean_method = "emmeans",
-    var_labels = "Unadjusted exacerbation rate (per year)",
-    table_names = "unadj",
-    .stats = c("rate"),
-    .labels = c(rate = "Rate")
-  ) %>%
-  summarize_glm_count(
-    vars = "AVAL",
-    variables = list(arm = "ARM", offset = "lgTMATRSK", covariates = c("REGION1")),
-    conf_level = 0.95,
-    distribution = "quasipoisson",
-    rate_mean_method = "ppmeans",
-    var_labels = "Adjusted (QP) exacerbation rate (per year)",
-    table_names = "adj-qp",
-    .stats = c("rate", "rate_ci", "rate_ratio", "rate_ratio_ci", "pval"),
-    .labels = c(
-      rate = "Rate", rate_ci = "Rate CI", rate_ratio = "Rate Ratio",
-      rate_ratio_ci = "Rate Ratio CI", pval = "p value"
-    )
-  ) %>%
-  summarize_glm_count(
-    vars = "AVAL",
-    variables = list(arm = "ARM", offset = "lgTMATRSK", covariates = c("REGION1")),
-    conf_level = 0.95,
-    distribution = "negbin",
-    rate_mean_method = "emmeans",
-    var_labels = "Adjusted (NB) exacerbation rate (per year)",
-    table_names = "adj-nb",
-    .stats = c("rate", "rate_ci", "rate_ratio", "rate_ratio_ci", "pval"),
-    .labels = c(
-      rate = "Rate", rate_ci = "Rate CI", rate_ratio = "Rate Ratio",
-      rate_ratio_ci = "Rate Ratio CI", pval = "p value"
-    )
-  )
-
-result <- build_table(
-  lyt = lyt,
-  df = anl
-)
-
-result
+# Under development
 ```
 
-{{< include ../../test-utils/save_results.qmd >}}
-
 ## `teal` App
 
 ```{r teal, message=FALSE, opts.label=c('skip_if_testing', 'app')}