multibias 1.5.3
- 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
multibias 1.5.2
- 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
multibias 1.5.1
- 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.
multibias 1.5.0
New features
- 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
multibias 1.4.0
New features
- 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
Bug fixes
- Improved some of the documentation of equations.
multibias 1.3.0
New features
- 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
Bug fixes
- Fixed bug in
adjust_omc
that appears when using three
confounders
multibias 1.2.1
- Moved examples from README to vignette.
multibias 1.2.0
New features
- 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
.
Bug fixes
multibias 1.1.0
New features
- Created new function to adjust for outcome misclassification:
adjust_omc
.
- Added dataframes for all single bias scenarios:
df_emc
df_emc_source
df_omc
df_omc_source
df_sel
df_sel_source
df_uc
df_uc_source
Bug fixes
adjust_sel
had been weighing with the probability of
selection instead of the inverse probability of
selection.
multibias 1.0.0