2 papers
stat.ME2020
Regression with a right-censored predictor, using inverse probability weighting methods
Roland A. Matsouaka, Folefac D. Atem
In a longitudinal study, measures of key variables might be incomplete or partially recorded due to drop-out, loss to follow-up, or early termination of the study occurring before…
stat.AP2017
Linear regression model with a randomly censored predictor:Estimation procedures
Folefac Atem, Roland A. Matsouaka
We consider linear regression model estimation where the covariate of interest is randomly censored. Under a non-informative censoring mechanism, one may obtain valid estimates by…