make.ruleoutTable.fixed: make.ruleoutTable.fixed DEPRECATED

In n8thangreen/IDEAdectree: The IDEA study clinical data health economics analysis with decision trees

Description

make.ruleoutTable.fixed creates the times and costs of a diagnositic pathway for suspected active TB with and without an initial rule-out test, split by Dosanjh category.

Usage

make.ruleoutTable.fixed(thresh = seq(from = 1, to = 0.7, by = -0.01),
  Ctest = c(10, 50), FNcost = 0, FNtime = 42L, ruleouttime = 1L,
  pathreturn = 1L, qaly = 0.67, A = 55, npatients = nrow(data),
  cat4percent = table(data$DosanjhGrouped)[4] * 100/npatients,
  comb = NA, cat3TB = TRUE, cat4propfollowup = 0,
  prop_highrisk = 0.72, stat = "Median", model = "testFirst")

Arguments

thresh	test sensitivity and specificity
Ctest	cost of rule-out test
FNcost	false negative cost
FNtime	false negative time
ruleouttime	time for rule-ou test result
pathreturn	does a ruled-out individual return to the pathway?
qaly	QALY for disease
A	cost of one day in full health
npatients	number of patients in cohort
cat4percent	percent of patients in Dosanjh category 4
comb	combined sensitivity, specificity and rule-out test cost array
cat3TB	are Dosanjh category 3 patients all active TB?
cat4propfollowup	proportion of negative Dosanjh category 4 patients, not immediately on standard pathway, who are followed-up at 6 weeks (alpha). We assume that all active TB cases are certain to be followed-up.
prop_highrisk	proportion of negative rule-out test patients put immediately on standard pathway (gamma)
stat	Which statistic to use for time and cost estimate (e.g. Mean, Median, 1st Qu.)
model	Which model structure/tree design to use (highriskAtStart is remove randomly selected proportion before rule-out test, testFirst is test everyone first)

Value

list

See Also

make.ruleoutTable.pre

n8thangreen/IDEAdectree documentation built on Feb. 10, 2020, 11:35 a.m.