Bayesian variable selection for longitudinal substance abuse treatment data subject to informative censoring
Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 56, Number 3, May 2007, pp. 293-311(19)
http://digbig.com/4syyb
Paddock, Susan M.
"Measuring the process of care in substance abuse treatment requires analysing repeated client assessments at critical time points during treatment tenure. Assessments are frequently censored because of early departure from treatment. Most analyses accounting for informative censoring define the censoring time to be that of the last observed assessment. However, if missing assessments for those who remain in treatment are attributable to logistical reasons rather than to the underlying treatment process being measured, then the length of stay in treatment might better characterise censoring than would time of measurement. The methodology is motivated by data from an on-going study of the quality of care in in-patient substance abuse treatment."
[Sub required]