Nothing
test_that("maic_anchored works for TTE", {
data(adtte_twt)
data(pseudo_ipd_twt)
data(centered_ipd_twt)
#### derive weights
cols <- grep("_CENTERED$", names(centered_ipd_twt), value = TRUE)
weighted_data <- estimate_weights(
data = centered_ipd_twt,
centered_colnames = cols,
start_val = 0,
method = "BFGS"
)
weighted_data_boot <- estimate_weights(
data = centered_ipd_twt,
centered_colnames = cols,
start_val = 0,
method = "BFGS",
n_boot_iteration = 5,
set_seed_boot = 1234
)
# inferential result
testout <- maic_anchored(
weights_object = weighted_data,
ipd = adtte_twt,
pseudo_ipd = pseudo_ipd_twt,
trt_var_ipd = "ARM",
trt_var_agd = "ARM",
trt_ipd = "A",
trt_agd = "B",
trt_common = "C",
endpoint_name = "Overall Survival",
endpoint_type = "tte",
eff_measure = "HR",
time_scale = "month",
km_conf_type = "log-log"
)
testout2 <- maic_anchored(
weights_object = weighted_data_boot,
ipd = adtte_twt,
pseudo_ipd = pseudo_ipd_twt,
trt_var_ipd = "ARM",
trt_var_agd = "ARM",
trt_ipd = "A",
trt_agd = "B",
trt_common = "C",
endpoint_name = "Overall Survival",
endpoint_type = "tte",
eff_measure = "HR",
time_scale = "month",
km_conf_type = "log-log"
)
# Compare robust outputs
expect_snapshot(testout$descriptive$summary)
expect_snapshot(print(testout$inferential$summary, digits = 5))
expect_snapshot(testout$inferential$fit)
# Compare bootstrap outputs
expect_snapshot(print(testout2$descriptive$summary, digits = 5))
expect_snapshot(print(testout2$inferential$summary, digits = 5))
expect_snapshot(print(testout2$inferential$fit, digits = 5))
})
test_that("maic_anchored for binary case gives the expected result", {
data(centered_ipd_twt)
data(agd)
agd <- process_agd(agd)
ipd_centered <- center_ipd(ipd = centered_ipd_twt, agd = agd)
# estimate weights
centered_colnames <- c("AGE", "AGE_SQUARED", "SEX_MALE", "ECOG0", "SMOKE", "N_PR_THER_MEDIAN")
centered_colnames <- paste0(centered_colnames, "_CENTERED")
weighted_data <- estimate_weights(data = ipd_centered, centered_colnames = centered_colnames)
weighted_data2 <- estimate_weights(
data = ipd_centered, centered_colnames = centered_colnames,
n_boot_iteration = 20, set_seed_boot = 1234
)
# get dummy binary IPD
data(adrs_twt)
# Reported summary data
pseudo_adrs <- get_pseudo_ipd_binary(
binary_agd = data.frame(
ARM = c("B", "C", "B", "C"),
RESPONSE = c("YES", "YES", "NO", "NO"),
COUNT = c(280, 120, 200, 200)
),
format = "stacked"
)
# inferential result
testout_OR <- maic_anchored(
weights_object = weighted_data,
ipd = adrs_twt,
pseudo_ipd = pseudo_adrs,
trt_var_ipd = "ARM",
trt_var_agd = "ARM",
trt_ipd = "A",
trt_agd = "B",
trt_common = "C",
endpoint_name = "Binary Event",
endpoint_type = "binary",
eff_measure = "OR"
)
testout_RR <- maic_anchored(
weights_object = weighted_data,
ipd = adrs_twt,
pseudo_ipd = pseudo_adrs,
trt_var_ipd = "ARM",
trt_var_agd = "ARM",
trt_ipd = "A",
trt_agd = "B",
trt_common = "C",
endpoint_name = "Binary Event",
endpoint_type = "binary",
eff_measure = "RR"
)
testout_RD <- maic_anchored(
weights_object = weighted_data,
ipd = adrs_twt,
pseudo_ipd = pseudo_adrs,
trt_var_ipd = "ARM",
trt_var_agd = "ARM",
trt_ipd = "A",
trt_agd = "B",
trt_common = "C",
endpoint_name = "Binary Event",
endpoint_type = "binary",
eff_measure = "RD"
)
# bootstrap
testout_boot_OR <- maic_anchored(
weights_object = weighted_data2,
ipd = adrs_twt,
pseudo_ipd = pseudo_adrs,
trt_var_ipd = "ARM",
trt_var_agd = "ARM",
trt_ipd = "A",
trt_agd = "B",
trt_common = "C",
endpoint_name = "Binary Event",
endpoint_type = "binary",
eff_measure = "OR"
)
# Compare robust outputs
expect_snapshot(testout_OR$descriptive$summary)
expect_snapshot(testout_OR$inferential$summary)
expect_snapshot(testout_OR$inferential$fit)
expect_snapshot(testout_RR$descriptive$summary)
expect_snapshot(testout_RR$inferential$summary)
expect_snapshot(testout_RR$inferential$fit)
expect_snapshot(testout_RD$descriptive$summary)
expect_snapshot(testout_RD$inferential$summary)
expect_snapshot(testout_RD$inferential$fit)
# Compare bootstrap outputs
expect_snapshot(print(testout_boot_OR$descriptive$summary, digits = 5))
expect_snapshot(print(testout_boot_OR$inferential$summary, digits = 5))
expect_snapshot(print(testout_boot_OR$inferential$fit, digits = 5))
})
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