coxph_meta_analysis: Meta analysis forest plot

In MBender1992/emR: Dictionary for EuMelaReg functions (analysis of clinical studies)

Meta analysis forest plot

Description

This code generates a forestplot from a meta analysis coxph model.

Usage

coxph_meta_analysis(
  data,
  time,
  status,
  vars,
  var,
  meta.group,
  weights = NULL,
  univariate = FALSE,
  na.rm = FALSE,
  ...
)

Arguments

data	data
time	the time interval from start of observation until date of event (e.g. disease progression or death) or censoring.
status	variable specifying if event occured or data has been censored.
vars	variables tested for Influence on outcome.
var	grouping variable
meta.group	variable for which meta analysis should be conducted. Usually the outcome of interest (e.g. treatment).
weights	character variable specifying the name of the weights column. Weights have to be added to the original dataframe in order to be applied correctly.
univariate	Logical value. If TRUE output of univariate cox regression is printed. Else output of multivariate cox regression is printed. Default is FALSE.
na.rm	logical indicating whether missing values (Specified as "missing" or "Missing") should be removed
...	additional arguments passed on to coxph

MBender1992/emR documentation built on Feb. 18, 2025, 9:21 a.m.