Analysis of quality-of-life adjusted failure time data in the presence of competing, possibly informative, censoring mechanisms.
We derive estimators of the mean of a function of a quality-of-life adjusted failure time, in the presence of competing right censoring mechanisms. Our approach allows for the possibility that some or all of the competing censoring mechanisms are associated with the endpoint, even after adjustment for recorded prognostic factors, with the degree of residual association possibly different for distinct censoring processes. Our methods generalize from a single to many censoring processes and from ignorable to non-ignorable censoring processes.
Department of Economics, Universidad Torcuato Di Tella, Sáenz Valiente 1010, Buenos Aires, 1428, Argentina. arotnitzky@utdt.edu
Andrea
A
Rotnitzky
Andrea
A
Bergesio
Andres
A
Farall
D000163:Acquired Immunodeficiency Syndrome / Q000188:drug therapy; D019380:Anti-HIV Agents / Q000627:therapeutic use; D001699:Biometry; D006801:Humans; D011336:Probability; D011379:Prognosis; D011788:Quality of Life; D016032:Randomized Controlled Trials as Topic / Q000379:methods; D012107:Research Design; D012680:Sensitivity and Specificity; D017211:Treatment Failure
D019380:Anti-HIV Agents