Bootstrap Confidence Interval and Bias Correction Results — get_dfRes • forestsearch

Calculates confidence intervals and bias-corrected estimates for bootstrap results.

Usage

get_dfRes(
  Hobs,
  seHobs,
  H1_adj,
  H2_adj = NULL,
  ystar,
  cov_method = "standard",
  cov_trim = 0,
  est.scale = "hr",
  est.loghr = TRUE
)

Arguments

Hobs: Numeric. Observed estimate.
seHobs: Numeric. Standard error of observed estimate.
H1_adj: Numeric. Bias-corrected estimate 1.
H2_adj: Numeric. Bias-corrected estimate 2 (optional).
ystar: Matrix of bootstrap samples.
cov_method: Character. Covariance method ("standard" or "nocorrect").
cov_trim: Numeric. Trimming proportion for covariance (default: 0.0).
est.scale: Character. "hr" or "1/hr".
est.loghr: Logical. Is estimate on log(HR) scale?

Value

Data.table with confidence intervals and estimates.