A Joint Model of Competing Risks in Discrete Time with Longitudinal Information

The survival competing risks model in discrete time based on multinomial logistic regression, proposed by Luo et al. (2016), models the non-linear and irregular shape of hazard functions incorporating a time-dependent spline into regression. This also directly includes longitudinal variables Due to issues arising from including both baseline covariates extended form as proposed, considering that latter may be subject error, this article suggests an extension existing model. utilizes concept joint for data, which is effective approach integrating simultaneousness model.,