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A Joint Model of Competing Risks in Discrete Time with Longitudinal Information
Un modelo de riesgos en competencia en tiempo discreto con información longitudinal
DOI:
https://doi.org/10.15446/rce.v46n2.98005Keywords:
Joint model, Survival model, Longitudinal model, Logistic regression, Discrete time (en)Modelo conjunto, Modelo de Supervivencia, Modelo longitudinal, Regresión logística, Tiempo discreto (es)
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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 by incorporating a time-dependent spline into the multinomial logistic regression. This model also directly includes longitudinal variables in the regression. Due to the issues arising from including both baseline and longitudinal covariates in the extended form as proposed, and considering that the latter may be subject to error, this article suggests an extension of the existing model. The proposed extension utilizes the concept of joint models for longitudinal and survival data, which is an effective approach for integrating simultaneousness both baseline and time-dependent covariates into the survival model.,
El modelo de supervivencia de riesgos en competencia en tiempo discreto basado en regresión logística multinomial sugerida por Luo et al. (2016), modela la forma no lineal e irregular de las funciones de riesgo, incorporando un spline dependiente del tiempo en la regresión logística multinomial. Dicho modelo también incluye variables longitudinales directamente en la regresión. Debido a los problemas derivados de la inclusión tanto de covariables basales como longitudinales en la forma ampliada que hace la propuesta, y considerando que estas últimas pueden estar sujetas a error, este artículo sugiere una ampliación del modelo existente. La extensión propuesta utiliza el concepto de modelos conjuntos para datos longitudinales y de supervivencia, que es un enfoque eficaz para integrar simultáneamente en el modelo de supervivencia tanto las covariables basales como las dependientes del tiempo.
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