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Joint models for longitudinal and survival data
joint models longitudinal data survival data bivariate change point models prediction Bayesian method EM algorithm
2015/5/21
Epidemiologic and clinical studies routinely collect longitudinal measures of multiple outcomes. These longitudinal outcomes can be used to establish the temporal order of relevant biological processe...
Variable selection and structural discovery in joint models of longitudinal and survival data
Joint models Mixed effect selection Structural discovery Adaptive LASSO Gaussian quadrature EM algorithm
2015/5/21
Joint models of longitudinal and survival outcomes have been used with increasing frequency in clinical investigations. Correct specification of fixed and random effects, as well as their functional f...
Survival analysis of gastric cancer patients using Cox model: a five year study
Biglarian A Hajizadeh E Kazemnejad A Zali M
2009/11/26
Background: Gastric cancer is the second most common cancer and known as the second cause of death due to cancers worldwide. Adenocarcinoma is the most fatal cancer in Iran and a patient with this kin...
Is Emotional Adjustment Status Predictor of the IUD Survival?
IUD Survival Emotional adjustment
2009/11/26
Objective: To evaluate the effect of emotional adjustment on IUD continuation to understand why persons with similar clinical problems have different interpretation and select different strategies to ...