hpg: Calculate the Health Profile Grid

In fragla/eq5d: Methods for Analysing 'EQ-5D' Data and Calculating 'EQ-5D' Index Scores

Calculate the Health Profile Grid

Description

Calculate the Health Profile Grid (HPG) for two EQ-5D datasets.

Usage

hpg(
  pre,
  post,
  country = NULL,
  version = NULL,
  type = NULL,
  ignore.invalid = TRUE,
  dimensions = .get_dimension_names(),
  no.problems = TRUE
)

Arguments

pre	data.frame, numeric or character. For data.frame default column names should be MO, SC, UA, PD and AD representing Mobility, Self-care, Usual activities, Pain/discomfort and Anxiety/depression. Vector using five digit format can also be used.
post	data.frame, numeric or character. For data.frame default column names should be MO, SC, UA, PD and AD representing Mobility, Self-care, Usual activities, Pain/discomfort and Anxiety/depression. Vector using five digit format can also be used.
country	string of value set country name used.
version	string of value "3L" or "5L" to indicate instrument version.
type	string specifying method type used in deriving value set scores. Options are TTO or VAS for EQ-5D-3L, VT for EQ-5D-5L, CW for EQ-5D-5L crosswalk conversion valuesets, RCW for EQ-5D-3L reverse crosswalk conversion valuesets.
ignore.invalid	boolean whether to ignore invalid scores. TRUE returns NA, FALSE throws an error.
dimensions	character vector, specifying "dimension" column names. Defaults are "MO", "SC", "UA", "PD" and "AD".
no.problems	boolean. Summarise 11111 "No change" subjects in a "No problems" group.

Value

a data.frame or list of data.frames containing the columns Pre, Post and PCHC. Pre and Post contain the severity rankings and PCHC the PCHC category.

Examples

dat <- read.csv(system.file("extdata", "eq5d3l_example.csv", package="eq5d"))

pre <- dat[dat$Group=="Group1",][1:50,]
post <- dat[dat$Group=="Group2",][1:50,]
res <- hpg(pre, post, country="UK", version="3L", type="TTO")
head(res)

fragla/eq5d documentation built on Nov. 27, 2024, 3:23 a.m.