Multiple Bias Analysis in Causal Inference


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Documentation for package ‘multibias’ version 1.7.2

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bias_params Represent bias parameters
data_observed Represent observed causal data
data_validation Represent validation causal data
df_em Simulated data with exposure misclassification
df_em_om Simulated data with exposure misclassification and outcome misclassification
df_em_om_source Data source for 'df_em_om'
df_em_sel Simulated data with exposure misclassification and selection bias
df_em_sel_source Data source for 'df_em_sel'
df_em_source Data source for 'df_em'
df_om Simulated data with outcome misclassification
df_om_sel Simulated data with outcome misclassification and selection bias
df_om_sel_source Data source for 'df_om_sel'
df_om_source Data source for 'df_om'
df_sel Simulated data with selection bias
df_sel_source Data source for 'df_sel'
df_uc Simulated data with uncontrolled confounding
df_uc_em Simulated data with uncontrolled confounding and exposure misclassification
df_uc_em_sel Simulated data with uncontrolled confounding, exposure misclassification, and selection bias
df_uc_em_sel_source Data source for 'df_uc_em_sel'
df_uc_em_source Data source for 'df_uc_em'
df_uc_om Simulated data with uncontrolled confounding and outcome misclassification
df_uc_om_sel Simulated data with uncontrolled confounding, outcome misclassification, and selection bias
df_uc_om_sel_source Data source for 'df_uc_om_sel'
df_uc_om_source Data source for 'df_uc_om'
df_uc_sel Simulated data with uncontrolled confounding and selection bias
df_uc_sel_source Data source for 'df_uc_sel'
df_uc_source Data source for 'df_uc'
multibias_adjust Simultaneously adjust for multiple biases
multibias_plot Create a Forest Plot comparing observed and adjusted effect estimates