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Journal of Applied Statistics Volume 38, 2011 - Issue 12
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Original Articles

Cost-efficient designs based on linearly associated biomarkers

Chang-Xing Ma Department of Biostatistics, The State University of New York at Buffalo, Buffalo, NY, 14214, USACorrespondence[email protected]
,
Albert Vexler Department of Biostatistics, The State University of New York at Buffalo, Buffalo, NY, 14214, USA
,
Enrique F. Schisterman Division of Epidemiology, Statistics and Prevention Research, National Institute of Child Health and Human Development, National Institutes of Health, Rockville, MD, USA
&
Lili Tian Department of Biostatistics, The State University of New York at Buffalo, Buffalo, NY, 14214, USA
Pages 2739-2750 | Received 04 Nov 2010, Accepted 31 Jan 2011, Published online: 12 Apr 2011

Citations (13)

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Read on this site (2)

Dewei Wang, Xichen Mou, Xiang Li & Xianzheng Huang. (2020) Local polynomial regression for pooled response data. Journal of Nonparametric Statistics 32:4, pages 814-837.
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Juexin Lin & Dewei Wang. (2018) Single-index regression for pooled biomarker data. Journal of Nonparametric Statistics 30:4, pages 813-833.
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Articles from other publishers (11)

Xichen Mou & Dewei Wang. (2024) Additive partially linear model for pooled biomonitoring data. Computational Statistics & Data Analysis 190, pages 107862.
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Dewei Wang, Xichen Mou & Yan Liu. (2021) Varying‐coefficient regression analysis for pooled biomonitoring. Biometrics 78:4, pages 1328-1341.
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Yan LiuChristopher McMahan & Colin Gallagher. (2017) A general framework for the regression analysis of pooled biomarker assessments. Statistics in Medicine 36:15, pages 2363-2377.
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Neil J. Perkins, Emily M. Mitchell, Robert H. Lyles & Enrique F. Schisterman. (2016) Case-control data analysis for randomly pooled biomarkers. Biometrical Journal 58:5, pages 1007-1020.
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Michelle R. DanaherPaul S. AlbertAninyda RoyEnrique F. Schisterman. (2016) Estimation of interaction effects using pooled biospecimens in a case-control study. Statistics in Medicine 35:9, pages 1502-1513.
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Robert Lyles, Dane Van Domelen, Emily Mitchell & Enrique Schisterman. (2015) A Discriminant Function Approach to Adjust for Processing and Measurement Error When a Biomarker is Assayed in Pooled Samples. International Journal of Environmental Research and Public Health 12:11, pages 14723-14740.
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Emily M. MitchellRobert H. Lyles & Enrique F. Schisterman. (2015) Positing, fitting, and selecting regression models for pooled biomarker data. Statistics in Medicine 34:17, pages 2544-2558.
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Emily M. Mitchell, Robert H. Lyles, Amita K. Manatunga & Enrique F. Schisterman. (2015) Semiparametric Regression Models for a Right-Skewed Outcome Subject to Pooling. American Journal of Epidemiology 181:7, pages 541-548.
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Albert Vexler, Ge Tao & Xiwei Chen. 2015. Advanced Protocols in Oxidative Stress III. Advanced Protocols in Oxidative Stress III 439 460 .
Emily M. MitchellRobert H. Lyles, Amita K. ManatungaNeil J. PerkinsEnrique F. Schisterman. (2014) A highly efficient design strategy for regression with outcome pooling. Statistics in Medicine 33:28, pages 5028-5040.
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Emily M. MitchellRobert H. LylesAmita K. ManatungaMichelle DanaherNeil J. PerkinsEnrique F. Schisterman. (2014) Regression for skewed biomarker outcomes subject to pooling. Biometrics 70:1, pages 202-211.
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