multibias 1.7.2
CRAN release: 2025-06-15
- Added
multibias_plot()to visualize sensitivity analysis results - When using validation data in
multibias_adjust()the function now incorporates uncertainty of the effect estimates from the validation data by sampling from each estimate’s mean and SE. Now, when using validation data, the confidence intervals from multibias bootstrapped results will represent two sources of uncertainty: random error and systematic error. - Added FAQ documentation
multibias 1.7.1
CRAN release: 2025-05-10
- Updated code with dynamic formula construction so that there is no limit to the number of known confounders one can include when using
bias_paramsas an input formultibias_adjust() -
multibias_adjust()now has built in bootstrapping - Added
summary()method todata_observed
multibias 1.7
CRAN release: 2025-04-08
- Created
bias_paramsclass to handle bias parameter inputs tomultibias_adjust() - Replaced the various
adjust()functions with a singlemultibias_adjust()function. Users now specify the biases they want to adjust for in thedata_observedobject. Bias adjustment formulas are now found in thebias_paramsdocumentation. - The user now specifies biases for adjustment in the
biasinput ofdata_observed - Removed
evansdata; now only used in vignette
multibias 1.6.3
CRAN release: 2025-02-23
- Created a
pkgdownweb page: www.paulbrendel.com/multibias - Refined the vignette, including a new NHANES analysis
multibias 1.6.2
CRAN release: 2025-01-08
- The following functions now accept
data_validationas an input for bias adjustment:adjust_om_sel.Radjust_uc_sel.Radjust_uc_em.Radjust_uc_om.Radjust_uc_em_sel.Radjust_uc_om_sel.R
multibias 1.6.1
CRAN release: 2024-12-02
- The following functions now accept
data_validationas an input for bias adjustment:adjust_em_om.Radjust_em_sel.R
- Bug fixes for validation data input in
adjust_em.Randadjust_om.R - Bug fixes for data and printing in
data_observedanddata_validation
multibias 1.6
CRAN release: 2024-10-26
- Created new class
data_observedto represent observed causal data - All
adjustfunctions now takedata_observedas input - Created new class
data_validationto represent causal data that can be used as validaiton data for bias adjustment - The following functions now accept
data_validationas an input for bias adjustment:adjust_uc.Radjust_em.Radjust_om.Radjust_sel.R
multibias 1.5.3
CRAN release: 2024-09-22
- All exposure misclassificaiton naming changed from
emcchanged toem - All outcome misclassificaiton naming changed from
omcchanged toom - Added lifecycle badges for above function renames
- Merged
adjust_multinom_uc_em_selintoadjust_uc_em_sel - Merged
adjust_multinom_uc_om_selintoadjust_uc_om_sel - The following functions now support more flexible combinations of continuous and binary exposure-outcome variables:
adjust_uc_em_sel.Radjust_uc_om_sel.R
multibias 1.5.2
CRAN release: 2024-08-21
- Merged
adjust_multinom_emc_omcintoadjust_emc_omc - Merged
adjust_multinom_uc_emcintoadjust_uc_emc - Merged
adjust_multinom_uc_omcintoadjust_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_seldf_omc_sel_source
multibias 1.5.1
CRAN release: 2024-06-20
- 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_seladjust_uc_sel
- Expanded the number of known confounders in dataframes:
df_uc_omcdf_uc_omc_sourcedf_uc_emcdf_uc_emc_source
- Dataframes
df_ucanddf_uc_sourcenow both have continuous and binary exposures and outcomes.
multibias 1.5.0
CRAN release: 2024-05-05
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_selanddf_uc_omc_sel_source. - Expanded the number of known confounders in dataframes:
df_uc_seldf_uc_sel_source
multibias 1.4.0
CRAN release: 2024-01-27
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_omcanddf_emc_omc_source. - Expanded the number of known confounders in dataframes:
df_emc_seldf_emc_sel_source
multibias 1.3.0
CRAN release: 2023-12-11
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_selanddf_omc_sel_source. - Expanded the number of known confounders in dataframes:
df_ucdf_uc_sourcedf_emcdf_emc_sourcedf_omcdf_omc_sourcedf_seldf_sel_source
multibias 1.2.0
CRAN release: 2023-10-16
