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Bias-adjusted treatment effect (Ding & VanderWeele 2016)

Usage

bias_adjusted_estimate(estimate, se, rr_ud, rr_eu, prevalence_confounder = 0.5)

Arguments

estimate

Observed treatment effect on the log-RR / coefficient scale.

se

Standard error.

rr_ud

RR linking confounder to outcome.

rr_eu

RR linking treatment to confounder.

prevalence_confounder

Confounder prevalence. Default 0.5.

Value

Named list with adjusted_estimate, bias, adjusted_ci_lower, adjusted_ci_upper, original_estimate.