7 citations · 9 across the 4 of their papers we have counts for
5 papers
Exploring the validity of the complete case analysis for regression models with a right-censored covariate
Marissa C. Ashner, Tanya P. Garcia
Despite its drawbacks, the complete case analysis is commonly used in regression models with missing covariates. Understanding when implementing complete cases will lead to consist…
Mission Imputable: Correcting for Berkson Error When Imputing a Censored Covariate
Kyle F. Grosser, Sarah C. Lotspeich, Tanya P. Garcia
To select outcomes for clinical trials testing experimental therapies for Huntington disease, a fatal neurodegenerative disorder, analysts model how potential outcomes change over…
Extrapolation before imputation reduces bias when imputing censored covariates
Sarah C. Lotspeich, Tanya P. Garcia
Modeling symptom progression to identify informative subjects for a new Huntington's disease clinical trial is problematic since time to diagnosis, a key covariate, can be heavily…
Correcting Conditional Mean Imputation for Censored Covariates and Improving Usability
Sarah C. Lotspeich, Kyle F. Grosser, Tanya P. Garcia
Analysts are often confronted with censoring, wherein some variables are not observed at their true value, but rather at a value that is known to fall above or below that truth. Wh…
svReg: Structural Varying-coefficient regression to differentiate how regional brain atrophy affects motor impairment for Huntington disease severity groups
Rakheon Kim, Samuel Mueller, Tanya P. Garcia
For Huntington disease, identification of brain regions related to motor impairment can be useful for developing interventions to alleviate the motor symptom, the major symptom of…