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MAICtools (version 0.1.1)

pts: Description of pts dataset

Description

An example data frame containing individual patient data and estimated weights.

Usage

data(pts)

Arguments

Format

A data frame with X rows and Y variables:

SUBJID: Subject Unique Identifier.
TRT: Grouping variable, e.g., "active" or "control".
BPDL1: Stratification factors for stratified analysis.
CNSBRAIN: Stratification factors for stratified analysis.
AGEGR: Stratification factors for stratified analysis.
WEIGHT: Baseline characteristic variables for matching or summarizing.
HEIGHT: Baseline characteristic variables for matching or summarizing.
BMI: Baseline characteristic variables for matching or summarizing.
DIAG: Baseline characteristic variables for matching or summarizing.
SEX: Baseline characteristic variables for matching or summarizing.
ECOG: Baseline characteristic variables for matching or summarizing.
SMK: Baseline characteristics variables for matching.
METBRAIN: Baseline characteristics variables for matching.
METLIVER: Baseline characteristics variables for matching.
PARAMCD: Subsets to be analyzed, e.g., "PFSINV", "OS".
AVAL: Survival or follow up time.
CNSR: The status indicator, 0 = event, 1 = censored.
RESP: Response status, 1 = responder, 0 = non-responder.
wt: Estimated propensity weights.
wt_rs: Estimated rescaled propensity weights.

Examples

  data(pts)
  head(pts)

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