ImperfectConSample: Imperfect Continuous Longitudinal Example Data

In PDRobust: Robust Longitudinal Effects Under Truncation by Death

Imperfect Continuous Longitudinal Example Data

Description

A deliberately imperfect continuous-outcome longitudinal data set derived from a simulated continuous-outcome panel. The data mimic common issues encountered in raw clinical data exports while remaining recoverable using DataCheck and DataStandard with drop = TRUE.

Usage

ImperfectConSample

Format

A data frame with 599 rows and 11 variables in long format, with one row per recorded subject and visit:

patient_id

Noncanonical character subject identifier.

visit_month

Character-encoded visit time in months.

treatment

Character-encoded binary treatment assignment.

alive_status

Character-encoded binary survival or intermediate status.

X1, X2, X3

Continuous baseline covariates.

X4, X5, X6

Binary baseline covariates.

clinical_outcome

Continuous longitudinal clinical outcome.

Details

The data include nonstandard subject identifiers, character-encoded visit times and binary variables, unsorted records, an incomplete longitudinal record, missing required covariate values, a missing outcome among survivors, and a record with a missing subject identifier. Structural outcome missingness for records with alive_status = 0 is retained.

Source

Simulated for package examples.

Examples

data("ImperfectConSample", package = "PDRobust")
head(ImperfectConSample)

PDRobust documentation built on Oct. 2, 2026, 5:09 p.m.