کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1150034 | 957910 | 2007 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Data-adaptive estimation of the treatment-specific mean
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
In this article, we introduce estimators that allow the marginal structural model as well as the parametric model for the relevant nuisance parameter to be selected data-adaptively. Our methodology is based on the unified loss-based estimation approach recently developed by van der Laan and Dudoit [2003. Unified cross-validation methodology for selection among estimators and a general cross-validated adaptive epsilonnet estimator: finite sample oracle inequalities and examples. Technical Report 130, Division of Biostatistics, University of California, Berkeley, November 2003] that in particular extends loss-based estimation to missing data problems. We study the practical performance of our proposed estimators in an extensive simulation study and also apply them to a data set derived from an epidemiologic study to assess the causal effect of forced expiratory volume on mortality in the elderly. All of the estimators presented in this article are made publicly available in the R package cvDSA.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Statistical Planning and Inference - Volume 137, Issue 6, 1 June 2007, Pages 1871-1887
Journal: Journal of Statistical Planning and Inference - Volume 137, Issue 6, 1 June 2007, Pages 1871-1887
نویسندگان
Yue Wang, Oliver Bembom, Mark J. van der Laan,