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Application of Seemingly Unrelated Regression in Medical Data with Intermittently Observed Time-Dependent Covariates
المؤلفون المشاركون
Pakfetrat, Maryam
Zare, Najaf
Ayatollahi, Seyyed Mohammad Taghi
Keshavarzi, Sareh
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-12-18
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Background.
In many studies with longitudinal data, time-dependent covariates can only be measured intermittently (not at all observation times), and this presents difficulties for standard statistical analyses.
This situation is common in medical studies, and methods that deal with this challenge would be useful.
Methods.
In this study, we performed the seemingly unrelated regression (SUR) based models, with respect to each observation time in longitudinal data with intermittently observed time-dependent covariates and further compared these models with mixed-effect regression models (MRMs) under three classic imputation procedures.
Simulation studies were performed to compare the sample size properties of the estimated coefficients for different modeling choices.
Results.
In general, the proposed models in the presence of intermittently observed time-dependent covariates showed a good performance.
However, when we considered only the observed values of the covariate without any imputations, the resulted biases were greater.
The performances of the proposed SUR-based models in comparison with MRM using classic imputation methods were nearly similar with approximately equal amounts of bias and MSE.
Conclusion.
The simulation study suggests that the SUR-based models work as efficiently as MRM in the case of intermittently observed time-dependent covariates.
Thus, it can be used as an alternative to MRM.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Keshavarzi, Sareh& Ayatollahi, Seyyed Mohammad Taghi& Zare, Najaf& Pakfetrat, Maryam. 2012. Application of Seemingly Unrelated Regression in Medical Data with Intermittently Observed Time-Dependent Covariates. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-500863
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Keshavarzi, Sareh…[et al.]. Application of Seemingly Unrelated Regression in Medical Data with Intermittently Observed Time-Dependent Covariates. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-11.
https://search.emarefa.net/detail/BIM-500863
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Keshavarzi, Sareh& Ayatollahi, Seyyed Mohammad Taghi& Zare, Najaf& Pakfetrat, Maryam. Application of Seemingly Unrelated Regression in Medical Data with Intermittently Observed Time-Dependent Covariates. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-500863
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-500863
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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