AIM: The aim of this study is to determine the factors influencing predicted survival time for @entity1 with @entity14 ( @entity14 ) using parametric models and select the best model by predicting error's technique. BACKGROUND: Survival models are statistical techniques to estimate or predict the overall time up to specific events. Prediction is important in medical science and the accuracy of prediction is determined by a measurement, generally based on loss functions, called prediction error. @entity1 AND METHODS: A total of 600 @entity14 @entity1 who admitted to the Cancer Registry Center of Gastroenterology and @entity409 Research Center, Taleghani Hospital, Tehran, were followed at least for 5 years and have completed selected information for this study. Body Mass Index (BMI), Sex, family history of @entity14 , @entity5 site, stage of disease and histology of @entity5 included in the analysis. The survival time was compared by the Log-rank test and multivariate analysis was carried out using parametric models including Log normal, Weibull and Log logistic regression. For selecting the best model, the prediction error by apparent loss was used. RESULTS: Log rank test showed a better survival for females, BMI more than 25, @entity1 with early stage at diagnosis and @entity1 with @entity694 site. Prediction error by apparent loss was estimated and indicated that Weibull model was the best one for multivariate analysis. BMI and Stage were independent prognostic factors, according to Weibull model. CONCLUSION: In this study, according to prediction error Weibull regression showed a better fit. Prediction error would be a criterion to select the best model with the ability to make predictions of prognostic factors in survival analysis.

Evaluation of parametric models by the prediction error in XXXX survival analysis.

@entity1 :: ('9606', 'Species') :: ['patients', 'PATIENTS'] @entity5 :: ('MESH:D009369', 'Disease') :: ['tumor'] @entity409 :: ('MESH:D008107', 'Disease') :: ['Liver Disease'] @entity14 :: ('MESH:D015179', 'Disease') :: ['CRC', 'colorectal cancer'] @entity694 :: ('MESH:D003110', 'Disease') :: ['colon tumor']
@entity14 :: (MESH:D015179,Disease) :: ['colorectal cancer']
