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#
# unanchored example using maic_unanchored for time-to-event data
#
data(centered_ipd_sat)
data(adtte_sat)
data(pseudo_ipd_sat)
#### derive weights
weighted_data <- estimate_weights(
data = centered_ipd_sat,
centered_colnames = grep("_CENTERED$", names(centered_ipd_sat)),
start_val = 0,
method = "BFGS"
)
weighted_data2 <- estimate_weights(
data = centered_ipd_sat,
centered_colnames = grep("_CENTERED$", names(centered_ipd_sat)),
start_val = 0,
method = "BFGS",
n_boot_iteration = 100,
set_seed_boot = 1234
)
# inferential result
result <- maic_unanchored(
weights_object = weighted_data,
ipd = adtte_sat,
pseudo_ipd = pseudo_ipd_sat,
trt_var_ipd = "ARM",
trt_var_agd = "ARM",
trt_ipd = "A",
trt_agd = "B",
endpoint_name = "Overall Survival",
endpoint_type = "tte",
eff_measure = "HR",
time_scale = "month",
km_conf_type = "log-log"
)
result$descriptive$summary
result$inferential$summary
result_boot <- maic_unanchored(
weights_object = weighted_data2,
ipd = adtte_sat,
pseudo_ipd = pseudo_ipd_sat,
trt_var_ipd = "ARM",
trt_var_agd = "ARM",
trt_ipd = "A",
trt_agd = "B",
endpoint_name = "Overall Survival",
endpoint_type = "tte",
eff_measure = "HR",
time_scale = "month",
km_conf_type = "log-log"
)
result$descriptive$summary
result$inferential$summary
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