Case-cohort design

Description

Declares a case-cohort sample: a random subcohort drawn from the full cohort at baseline, augmented by every case occurring in the cohort (including cases outside the subcohort). The design-faithful analyses are the Prentice, Self-Prentice, and Borgan pseudo-likelihood Cox estimators (survival::cch), whose controls are reused across failure times so the variance comes from a robust / asymptotic correction, not the information matrix.

Usage

case_cohort(subcohort, time)

Arguments

subcohort	A single character string naming the 0/1 (or logical) column flagging subcohort membership.
time	A single character string naming the event/follow-up time column.

Value

A matchatr_design object of type “case_cohort” carrying the subcohort and time columns, with a weight_spec flagged for inclusion-probability weighting.

See Also

nested_cc(), matcha()

Other design constructors: counter_matched(), matched_cc(), nested_cc(), two_phase(), unmatched_cc()

Examples

library("matchatr")

case_cohort(subcohort = "in_subcohort", time = "t")

<matchatr_design>
 Type:       Case-cohort
 Time:       t
 Subcohort:  in_subcohort
 Weights:    inclusion-probability