NEWS

multibias 1.6 (2024-10-26)

Created new class data_observed to represent observed causal data
All adjust functions now take data_observed as input
Created new class data_validation to represent causal data that can be used as validaiton data for bias adjustment
The following functions now accept data_validation as an input for bias adjustment:
- adjust_uc.R
- adjust_em.R
- adjust_om.R
- adjust_sel.R

All exposure misclassificaiton naming changed from emc changed to em
All outcome misclassificaiton naming changed from omc changed to om
Added lifecycle badges for above function renames
Merged adjust_multinom_uc_em_sel into adjust_uc_em_sel
Merged adjust_multinom_uc_om_sel into adjust_uc_om_sel
The following functions now support more flexible combinations of continuous and binary exposure-outcome variables:
- adjust_uc_em_sel.R
- adjust_uc_om_sel.R

Merged adjust_multinom_emc_omc into adjust_emc_omc
Merged adjust_multinom_uc_emc into adjust_uc_emc
Merged adjust_multinom_uc_omc into adjust_uc_omc
The following functions now support more flexible combinations of continuous and binary exposure-outcome variables:
- adjust_emc_sel (exposure must be binary)
- adjust_omc_sel (outcome must be binary)
- adjust_uc_emc (exposure must be binary)
- adjust_uc_omc (outcome must be binary)
- adjust_multinom_uc_emc (exposure must be binary)
- adjust_multinom_uc_omc (outcome must be binary)
Expanded the number of known confounders in dataframes:
- df_omc_sel
- df_omc_sel_source

The following functions now support more flexible combinations of continuous and binary exposure-outcome variables:
- adjust_uc
- adjust_emc (exposure must be binary)
- adjust_omc (outcome must be binary)
- adjust_sel
- adjust_uc_sel
Expanded the number of known confounders in dataframes:
- df_uc_omc
- df_uc_omc_source
- df_uc_emc
- df_uc_emc_source
Dataframes df_uc and df_uc_source now both have continuous and binary exposures and outcomes.

Added two functions for simultaneous adjustment of uncontrolled confounding, outcome misclassification, and selection bias: adjust_uc_omc_sel & adjust_multinom_uc_omc_sel.
Added dataframes with uncontrolled confounding, outcome misclassification, and selection bias: df_uc_omc_sel and df_uc_omc_sel_source.
Expanded the number of known confounders in dataframes:
- df_uc_sel
- df_uc_sel_source

Added two functions for simultaneous adjustment of exposure misclassification and outcome misclassification: adjust_emc_omc & adjust_multinom_emc_omc.
Added dataframes with exposure misclassification and outcome misclassification: df_emc_omc and df_emc_omc_source.
Expanded the number of known confounders in dataframes:
- df_emc_sel
- df_emc_sel_source

Added a function for simultaneous adjustment of outcome misclassification and selection bias: adjust_omc_sel.
Added dataframes with outcome misclassification and selection bias: df_omc_sel and df_omc_sel_source.
Expanded the number of known confounders in dataframes:
- df_uc
- df_uc_source
- df_emc
- df_emc_source
- df_omc
- df_omc_source
- df_sel
- df_sel_source

Added two functions for simultaneous adjustment of uncontrolled confounding and outcome misclassification: adjust_uc_omc and adjust_multinom_uc_omc.
Added dataframes with uncontrolled confounding and outcome misclassification: df_uc_omc and df_uc_omc_source.

adjust_sel had been weighing with the probability of selection instead of the inverse probability of selection.