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:: Volume 4, Issue 2 (3-2011) ::
JSS 2011, 4(2): 211-230 Back to browse issues page
Bayesian Time Dependent Evaluation of Biomarkers as Surrogate Endpoint
Behrooz Kavehie , Soghrat Faghihzadeh * , Farzad Eskandari , Anooshiravan Kazemnejad , Tooba Ghazanfari
Abstract:   (22351 Views)
Sometimes it is impossible to directly measure the effect of intervention (medicine or therapeutic methods) in medical researches. That is because of high costs, long time, the aggressiveness of therapeutic methods, lack of clinical responses, and etc. In such cases, the effect of intervention on surrogate variables is measured. Many statistical studies have been accomplished for measuring the validity of surrogates and introducing a criterion for testing. The first criterion was established based on hypothesis testing. Other criterions were introduced over time. Then by using the classic methods, the Likelihood Ratio Factor was introduced. After that, the Bayesian Likelihood Ratio Factor developed and published. This article aims to introduce the Bayesian Likelihood Ratio Factor based on time dependent data. The illness under study is lung disease in victims of chemical weapons. The surrogate therapy method uses the forced expiratory volume at fist second.
Keywords: Surrogate Endpoint, Time Dependent Research, Odds Ratio, Bayes Factor, MCMC.
Full-Text [PDF 1376 kb]   (3657 Downloads)    
Type of Study: Applied | Subject: Statistical Inference
Received: 2012/04/21 | Accepted: 2013/06/5 | Published: 2013/06/5
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Kavehie B, Faghihzadeh S, Eskandari F, Kazemnejad A, Ghazanfari T. Bayesian Time Dependent Evaluation of Biomarkers as Surrogate Endpoint. JSS 2011; 4 (2) :211-230
URL: http://jss.irstat.ir/article-1-118-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 4, Issue 2 (3-2011) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences

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