Package index • multibias

Functions

multibias_adjust(): Simultaneously adjust for multiple biases

multibias_plot(): Create a Forest Plot comparing observed and adjusted effect estimates

Classes

data_observed(): Represent observed causal data

data_validation(): Represent validation causal data

bias_params(): Represent bias parameters

Data

Biased data

Simulated dataframes with known bias of the exposure-outcome effect.

df_em_om: Simulated data with exposure misclassification and outcome misclassification

df_em_sel: Simulated data with exposure misclassification and selection bias

df_em: Simulated data with exposure misclassification

df_om_sel: Simulated data with outcome misclassification and selection bias

df_om: Simulated data with outcome misclassification

df_sel: Simulated data with selection bias

df_uc_em_sel: Simulated data with uncontrolled confounding, exposure misclassification, and selection bias

df_uc_em: Simulated data with uncontrolled confounding and exposure misclassification

df_uc_om_sel: Simulated data with uncontrolled confounding, outcome misclassification, and selection bias

df_uc_om: Simulated data with uncontrolled confounding and outcome misclassification

df_uc_sel: Simulated data with uncontrolled confounding and selection bias

df_uc: Simulated data with uncontrolled confounding

Source for biased data

Simulated dataframes used to derive the respective biased dataframe, with complete information on the source(s) of bias (i.e., the missing data).

df_em_om_source: Data source for df_em_om

df_em_sel_source: Data source for df_em_sel

df_em_source: Data source for df_em

df_om_sel_source: Data source for df_om_sel

df_om_source: Data source for df_om

df_sel_source: Data source for df_sel

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_sel_source: Data source for df_uc_om_sel

df_uc_om_source: Data source for df_uc_om

df_uc_sel_source: Data source for df_uc_sel

df_uc_source: Data source for df_uc