Tipping-point analysis for missing-data sensitivity — tipping_point

How much would unobserved outcomes need to differ from observed ones for the treatment effect to become non-significant? Phase 1.g cross-references tipr for the unmeasured-confounder family of tipping-point calculations (see also morie_sensitivity_tipping_point).

Usage

tipping_point_analysis(
  estimate,
  se,
  n_treated,
  n_control,
  delta_range = NULL,
  outcome_type = "continuous"
)

Arguments

estimate: Observed treatment effect.
se: Standard error of the estimate.
n_treated: Number of treated units.
n_control: Number of control units.
delta_range: Numeric vector of bias parameters (default seq(-3|est|, 3|est|, length.out = 101)).
outcome_type: "continuous" or "binary" (advisory only).

Value

A morie_tipping_point named-list.