Causal Inference for Multiple Treatments with a Binary Outcome


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Documentation for package ‘CIMTx’ version 1.2.0

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ce_estimate Causal inference with multiple treatments using observational data
ce_estimate_bart_ate Causal inference with multiple treatments using BART for ATE effects
ce_estimate_bart_att Causal inference with multiple treatments using BART for ATT effects
ce_estimate_iptw_ate Causal inference with multiple treatments using IPTW for ATE effects
ce_estimate_iptw_ate_boot Causal inference with multiple treatments using IPTW for ATE effects (bootstrapping for CI)
ce_estimate_iptw_att Causal inference with multiple treatments using IPTW for ATT effects
ce_estimate_iptw_att_boot Causal inference with multiple treatments using IPTW for ATT effects (bootstrapping for CI)
ce_estimate_rams_ate Causal inference with multiple treatments using RAMS for ATE effects
ce_estimate_rams_ate_boot Causal inference with multiple treatments using RAMS for ATE effects (bootstrapping for CI)
ce_estimate_rams_att Causal inference with multiple treatments using RAMS for ATT effects
ce_estimate_rams_att_boot Causal inference with multiple treatments using RAMS for ATT effects (bootstrapping for CI)
ce_estimate_ra_ate Causal inference with multiple treatments using RA for ATE effects
ce_estimate_ra_att Causal inference with multiple treatments using RA for ATT effects
ce_estimate_tmle_ate Causal inference with multiple treatments using TMLE for ATE effects
ce_estimate_tmle_ate_boot Causal inference with multiple treatments using TMLE for ATE effects (bootstrapping for CI)
ce_estimate_vm_att Causal inference with multiple treatments using VM for ATT effects
covariate_overlap Covariate overlap figure
data_sim Simulate data for binary outcome with multiple treatments
plot.CIMTx_ATE_posterior Plot for non-IPTW estimation methods with bootstrapping for ATE effect
plot.CIMTx_ATT_posterior Plot for non-IPTW estimation methods for ATT effect
plot.CIMTx_IPTW Boxplot for weight distribution
plot.CIMTx_nonIPTW_once Plot for non-IPTW estimation methods for ATE effect
plot.CIMTx_sa_grid Contour plot for the grid specification of sensitivity analysis
posterior_summary Posterior distribution summary
print.CIMTx_ATE_posterior Print the ATE results for non-IPTW results
print.CIMTx_ATE_sa Print the ATE results for from sensitivity analysis
print.CIMTx_ATT_posterior Print the ATT results
print.CIMTx_ATT_sa Print the ATT results for from sensitivity analysis
print.CIMTx_IPTW Print the ATE/ATT results for IPTW results
print.CIMTx_nonIPTW_once Print the ATE/ATT results for non-IPTW results
print.CIMTx_sa_grid Print the ATT results for from sensitivity analysis
sa Flexible Monte Carlo sensitivity analysis for unmeasured confounding
summary.CIMTx_ATE_posterior Summarize a CIMTx_ATE_posterior object
summary.CIMTx_ATE_sa Summarize a CIMTx_ATE_sa object
summary.CIMTx_ATT_posterior Summarize a CIMTx_ATT_posterior object
summary.CIMTx_ATT_sa Summarize a CIMTx_ATT_sa object
summary.CIMTx_IPTW Summarize a CIMTx_IPTW object
summary.CIMTx_nonIPTW_once Summarize a CIMTx_nonIPTW_once object
true_c_fun_cal Calculate the true c functions with 3 treatments and a binary predictor
trunc_fun Trimming