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### test-BuyseTest-operator.R ---
##----------------------------------------------------------------------
## Author: Brice Ozenne
## Created: apr 2 2018 (15:21)
## Version:
## Last-Updated: May 1 2023 (10:07)
## By: Brice Ozenne
## Update #: 41
##----------------------------------------------------------------------
##
### Commentary:
##
### Change Log:
##----------------------------------------------------------------------
##
### Code:
if(FALSE){
library(survival)
library(testthat)
library(BuyseTest)
library(data.table)
}
context("Check that the option operator in BuyseTest is working correctly \n")
## * settings
BuyseTest.options(check = TRUE,
keep.pairScore = TRUE,
method.inference = "none",
pool.strata = "Buyse",
trace = 0)
## * one pair
test_that("check - 1 pair",{
## binary
data <- data.frame(toxicity1 = c(1,0),
treatment = c(1,0),
stringsAsFactors = FALSE)
BT <- BuyseTest(treatment ~ bin(toxicity1, operator = "<0"), data=data)
expect_equal(as.double(coef(BT, statistic = "count.favorable", cumulative = FALSE)),0)
expect_equal(as.double(coef(BT, statistic = "count.unfavorable", cumulative = FALSE)),1)
expect_equal(as.double(coef(BT, statistic = "count.neutral", cumulative = FALSE)),0)
expect_equal(as.double(coef(BT, statistic = "count.uninf", cumulative = FALSE)),0)
## getPairScore(BT)
## continuous
data <- data.frame(toxicity1 = c(1,0),
treatment = c(1,0),
stringsAsFactors = FALSE)
BT <- BuyseTest(treatment ~ cont(toxicity1, operator = "<0"), data=data)
expect_equal(as.double(coef(BT, statistic = "count.favorable", cumulative = FALSE)),0)
expect_equal(as.double(coef(BT, statistic = "count.unfavorable", cumulative = FALSE)),1)
expect_equal(as.double(coef(BT, statistic = "count.neutral", cumulative = FALSE)),0)
expect_equal(as.double(coef(BT, statistic = "count.uninf", cumulative = FALSE)),0)
})
## * many pairs
test_that("check - many pairs",{
## original - twice same tte
BT0 <- BuyseTest(trt ~ tte(time,status,threshold=5)+tte(time,status,threshold=0),
data=veteran, method.inference = "u-statistic")
## switched - twice same tte
BuyseTest.options(engine = "GPC_cpp")
BT <- BuyseTest(trt ~ tte(time,status,threshold=5,operator="<0")+tte(time,status,threshold=0,operator="<0"),
data=veteran, method.inference = "u-statistic")
BuyseTest.options(engine = "GPC2_cpp")
BT2 <- BuyseTest(trt ~ tte(time,status,threshold=5,operator="<0")+tte(time,status,threshold=0,operator="<0"),
data=veteran, method.inference = "u-statistic")
expect_equivalent(confint(BT0)[,"estimate"], -confint(BT)[,"estimate"], tol = 1e-6)
expect_equivalent(confint(BT0)[,c("se","p.value")], confint(BT)[,c("se","p.value")], tol = 1e-6)
expect_equivalent(confint(BT), confint(BT2))
expect_equivalent(confint(BT), confint(BT2))
## original - tte + bin
BT0 <- BuyseTest(trt ~ tte(time,status,threshold=5)+bin(prior),
data=veteran, method.inference = "u-statistic")
## switched - tte + bin
BuyseTest.options(engine = "GPC_cpp")
BT <- BuyseTest(trt ~ tte(time,status,threshold=5,operator="<0")+bin(prior,operator="<0"),
data=veteran, method.inference = "u-statistic")
BuyseTest.options(engine = "GPC2_cpp")
BT2 <- BuyseTest(trt ~ tte(time,status,threshold=5,operator="<0")+bin(prior,operator="<0"),
data=veteran, method.inference = "u-statistic")
expect_equivalent(confint(BT0)[,"estimate"], -confint(BT)[,"estimate"], tol = 1e-6)
expect_equivalent(confint(BT0)[,c("se","p.value")], confint(BT)[,c("se","p.value")], tol = 1e-2)
expect_equivalent(confint(BT), confint(BT2), tol = 1e-2)
expect_equivalent(confint(BT), confint(BT2), tol = 1e-2)
## expected difference in se because GPC2 compute the influence function over all pairs,
## while GPC only over pairs with informative scores.
## the difference is expected to be small though in large samples
})
##----------------------------------------------------------------------
### test-BuyseTest-operator.R ends here
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