Assess Individual IQWiG Evidence Domains — assess_evidence

Evaluates each of the five GRADE/IQWiG evidence domains: study limitations (risk of bias), inconsistency, imprecision, indirectness, and publication bias.

Usage

assess_evidence_domains(
  estimate,
  ci,
  p_value,
  heterogeneity,
  rob_results = NULL,
  n_studies,
  publication_bias = NULL,
  indirectness = NULL,
  ci_level = 0.95,
  effect_measure = "hr"
)

Arguments

estimate: Numeric. Pooled effect estimate.
ci: Numeric vector of length 2: c(lower, upper) confidence interval.
p_value: Numeric. P-value for the effect estimate.
heterogeneity: List. Heterogeneity statistics from meta-analysis. Should contain I2, tau2, and optionally Q_pvalue.
rob_results: List of RoB2Result objects or NULL. Risk of bias assessments for each study.
n_studies: Integer. Number of studies contributing to the evidence.
publication_bias: List or NULL. Publication bias assessment.
indirectness: Numeric or NULL. Indirectness score (0-1).
ci_level: Numeric. Confidence level for imprecision assessment. Default: 0.95.
effect_measure: Character. Type of effect measure (hr, or, rr, etc.). Default: "hr".

Value

A list with five domain assessments, each containing:

level: Character: "low", "some_concerns", "high", or "unknown"
rating: Numeric rating (0-1, lower is worse)
notes: Character notes explaining the assessment

Examples

if (FALSE) { # \dontrun{
domains <- assess_evidence_domains(
  estimate = 0.72,
  ci = c(0.62, 0.84),
  p_value = 0.0001,
  heterogeneity = list(I2 = 25, tau2 = 0.01),
  n_studies = 5L
)
domains$limitations
domains$inconsistency
} # }