Comparing Cox and parametric models in clinical studies.

نویسندگان

  • Alessandra Nardi
  • Michael Schemper
چکیده

Parametric models are only occasionally used in the analysis of clinical studies of survival although they may offer advantages over Cox's model. In this paper, we report experiences that we have made fitting parametric models to data sets from different clinical trials mainly performed at the Vienna University Medical School. We emphasize the role of residuals for discriminating among candidate models and judging their goodness of fit. The effect of misspecification of the baseline distribution on parameter estimates and testing has been explored. The results from parametric analyses have always been contrasted with those from Cox's model.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

مقایسه مدل کاکس و مدل های پارامتری در برآورد بقاء درمان مبتلایان سرطان پروستات تحت رادیوتراپی

Background and purpose: Prostate cancer is the second most common malignant cancer in men and radiotherapy is one of the treatments for this disease. The aim of this study was to determine the effect of demographic, clinical and pathology factors in survival rate of patients on radiotherapy and comparing different survival models to determine an efficient model. Materials and methods: In a his...

متن کامل

مقایسه رگرسیون کاکس و مدل های پارامتریک در تحلیل بقای بیماران مبتلا به سرطان معده

Background & Objectives: Although Cox regression is commonly used to detect relationships between patient survival and demographic/clinical variables, there are situations where parametric models can yield more accurate results. The objective of this study was to compare two survival regression methods, namely Cox regression and parametric models, in patients with gastric carcinoma registered a...

متن کامل

تحلیل بقای نیمه پارامتری و پارامتری بیماران مبتلا به بتا تالاسمی ماژور

Background: Beta-thalassemia major is a very severe blood disease, its Clinical signs are premature and appear from 3 to 6 months of age. It is one of the most common monogenic diseases in the world and in Iran, and if it is not diagnosed and treated during the first years of life, it will lead to death. In this study, to check the factors affecting the survival of patients with beta-thalassemi...

متن کامل

Evaluation of Survival Analysis Models for Predicting Factors Infuencing the Time of Brucellosis Diagnosis

Background:Brucellosis or Malta fever is one of the most common zoonotic diseases in the world. In addition to causing human suffering and dire economic impact on animals, due to the high prevalence of Brucellosis in the western regions of Isfahan province, this study aimed to analyze effective factors in the time of Brucellosis diagnosis using parametric and semi-parametric mo...

متن کامل

Cox and Frailty Models for Analysis of Esophageal Cancer Data‎

‎By existing censor and skewness in survival data‎, ‎some models such as weibull are used to analyzing survival data‎. ‎In addition, parametric and semiparametric models can be obtained from baseline hazard function of Cox model to fit to survival data‎. ‎However these models are popular because of their simple usage but do not consider unknown risk factors‎, ‎that's why cannot introduce the be...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Statistics in medicine

دوره 22 23  شماره 

صفحات  -

تاریخ انتشار 2003