mdbin: Linear and Nonlinear Dose-Response Meta-Regression for Binary Outcomes

Description

Performs linear and/or nonlinear dose-response meta-regression for binary outcomes using study-level event data. The function supports relative risk (`RR`) and odds ratio (`OR`) effect measures and models the association between dose levels and treatment effects.

Usage

mdbin(
  measure = c("RR", "OR"),
  event.e,
  n.e,
  event.c,
  n.c,
  dose,
  data,
  linear = TRUE,
  nonlinear = TRUE,
  x_axis = "Dose",
  y_axis = "Measured Effect",
  knots = c(0.1, 0.5, 0.9)
)

Value

An S3 object of class `dose`, which is a list containing:

linear_model: The fitted linear dose-response meta-regression model.
linear_plot: A plot of the linear dose-response relationship.
nonlinear_model: The fitted nonlinear dose-response meta-regression model.
nonlinear_plot: A plot of the nonlinear dose-response relationship.

Arguments

measure: Character string specifying the effect size measure. Options are "RR" for relative risk or "OR" for odds ratio.
event.e: Numeric vector of numbers of events in the experimental group.
n.e: Numeric vector of sample sizes in the experimental group.
event.c: Numeric vector of numbers of events in the control group.
n.c: Numeric vector of sample sizes in the control group.
dose: Numeric vector of dose levels corresponding to each study.
data: A data frame containing the meta-analysis data.
linear: Logical; if TRUE, a linear dose-response model is fitted.
nonlinear: Logical; if TRUE, a nonlinear dose-response model using restricted cubic splines is fitted.
x_axis: Character string specifying the x-axis label for plots.
y_axis: Character string specifying the y-axis label for plots.
knots: Numeric vector of quantiles used to place knots for the nonlinear restricted cubic spline model.

Author

Ahmed Abdelmageed ahmedelsaeedmassad@gmail.com

Details