Sufficient dimension reduction for longitudinally measured predictors-Reference-Cited by-同舟云学术

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Sufficient dimension reduction for longitudinally measured predictors

Published:2011-12-09 Issue:22 Volume:31 Page:2414-2427
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Pfeiffer Ruth M.¹,Forzani Liliana²³,Bura Efstathia⁴

Affiliation:

1. Biostatistics Branch; National Cancer Institute; Bethesda MD 20892-7244 U.S.A.

2. Instituto de Matemática Aplicada del Litoral; CONICET; Güemes 3450 (3000) Santa Fe Argentina

3. Facultad de Ingeniería Química; UNL; Santiago del Estero 2654 (3000) Santa Fe Argentina

4. Department of Statistics; George Washington University; Washington DC 20052 U.S.A.

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.4437/fullpdf

Reference26 articles.

1. A model free approach to combining biomarkers;Pfeiffer;Biometrical Journal,2008

2. Sliced inverse regression for dimension reduction (with discussion);Li;Journal of the American Statistical Association,1991

3. Discussion of “Sliced inverse regression for dimension reduction”;Cook;Journal of the American Statistical Association,1991

4. Regression Graphics

5. Fisher lecture;Cook;Dimension reduction in regression statistical science,2007

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