trunc_fun

<p>the percentile at which the inverse probability of treatment weights should be trimmed.</p>

trim_perc

Different methods to conduct causal inference for multiple treatments with a binary outcome, including regression adjustment, vector matching, Bayesian additive regression trees, targeted maximum likelihood and inverse probability of treatment weighting using different generalized propensity score models such as multinomial logistic regression, generalized boosted models and super learner. For more details, see the paper by Hu et al. <doi:10.1177/0962280220921909>.

Jiayi Ji

CIMTx

Causal Inference for Multiple Treatments with a Binary Outcome

Liangyuan Hu

Chenyang Gu

Michael Lopez

trunc_fun function

Function to truncate weight — trunc_fun

Function to truncate weight

trunc_fun: Function to truncate weight

Description

Usage

Arguments

Value

Examples