[Authors] V. Bagdonavicius and M. Nikulin [Title] Conjoint Degradation Model of Disablement for Survival and Longitudinal Data Measured with Errors in Presence of Covariates [AMS Subj-class] 62F10, 62J05, 62GO5, 62N05, 60M10, 62G30 [Keywords] aging, censored data, consistency, degradation, degradation process, disability,failure, longevity, longitudinal data, measurement error, noise, nonparametric estimation, optimal estimator, path model, regression parameters, reliability, semiparametric estimation, survival analysis, traumatic event, Wiener process, Wulfsohn-Tsiatis model. [Abstract] The paper considers the semiparametric analysis of several new degradation and failure time regression models without and with time depending covariates. These joint models for survival and longitudinal data measured with errors can be applied in studies of longevity, aging and degradation in survival analysis, biostatistics, epidemiology, demography, biology and reliability. [Comments] LaTeX, 20 pp., English [Contact e-mail] nikou@sm.u-bordeaux2.fr