weighted_twt {maicplus} | R Documentation |
Weighted object for two arm trial data
Description
The weighted patient data for a two arm trial generated from the centered patient data (centered_ipd_twt). It has weights calculated for 100 bootstrap samples.
The object is generated using the following code:
estimate_weights( data = centered_ipd_twt, centered_colnames = c( "AGE_CENTERED", "AGE_MEDIAN_CENTERED", "AGE_SQUARED_CENTERED", "SEX_MALE_CENTERED", "ECOG0_CENTERED", "SMOKE_CENTERED" ), n_boot_iteration = 100 )
Usage
weighted_twt
Format
A maicplus_estimate_weights
object created by estimate_weights()
containing
- data
patient level data with weights
- centered_colnames
Columns used in MAIC
- nr_missing
Number of observations with missing data
- ess
Expected sample size
- opt
Information from
optim
from weight calculation- boot
Parameters and bootstrap sample weights for the 100 samples
See Also
Other anchored datasets:
adrs_twt
,
adsl_twt
,
adtte_twt
,
agd
,
centered_ipd_twt
,
pseudo_ipd_twt
[Package maicplus version 0.1.2 Index]