Package index

Functions

Causal data

Combine a dataframe with specification of key variables to create a causal data object. These objects are then used in bias-adjusting functions.

data_observed()

Represent observed causal data

data_validation()

Represent validation causal data

Single bias adjustment

For a given exposure and outcome within data_observed, obtain an exposure-outcome effect estimate adjusted for a single source of bias.

adjust_em()

Adust for exposure misclassification.

adjust_om()

Adust for outcome misclassification.

adjust_sel()

Adust for selection bias.

adjust_uc()

Adust for uncontrolled confounding.

Multiple bias adjustment

For a given exposure and outcome within data_observed, obtain an exposure-outcome effect estimate adjusted for multiple sources of bias.

adjust_em_om()

Adust for exposure misclassification and outcome misclassification.

adjust_em_sel()

Adust for exposure misclassification and selection bias.

adjust_uc_em_sel()

Adust for uncontrolled confounding, exposure misclassification, and selection bias.

adjust_uc_em()

Adust for uncontrolled confounding and exposure misclassification.

adjust_uc_om_sel()

Adust for uncontrolled confounding, outcome misclassification, and selection bias.

adjust_uc_om()

Adust for uncontrolled confounding and outcome misclassification.

adjust_uc_sel()

Adust for uncontrolled confounding and selection bias.

adjust_om_sel()

Adust for outcome misclassification and selection bias.

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

Other

Other miscellaneous dataframes for analysis.

evans

Evans County dataset