Journal of the American Statistical Association,volume 109,issue 506  (04-2014)

Period of time： 2014年506期

Publisher： Taylor & Francis Ltd

Founded in： 1888

Total resources： 13

ISSN： 0162-1459

Subject： C8 Statistics

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Journal of the American Statistical Association,volume 109,issue 506

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Flexible Marginal Structural Models for Estimating the Cumulative Effect of a Time-Dependent Treatment on the Hazard: Reassessing the Cardiovascular Risks of Didanosine Treatment in the Swiss HIV Cohort Study

By Xiao Yongling,Abrahamowicz Michal,Moodie Erica E. M.,Weber Rainer,Young James in (2014)

Journal of the American Statistical Association,volume 109,issue 506 , Vol. 109, Iss. 506, 2014-04 , pp. 455-464

Taylor & Francis Ltd

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To Fuel or Not to Fuel? Is that the Question?

By Ayra Eduardo S.,Insua David Ríos,Cano Javier in (2014)

Journal of the American Statistical Association,volume 109,issue 506 , Vol. 109, Iss. 506, 2014-04 , pp. 465-476

Taylor & Francis Ltd

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A Bayesian Nonparametric Regression Model With Normalized Weights: A Study of Hippocampal Atrophy in Alzheimer’s Disease

By Antoniano-Villalobos Isadora,Wade Sara,Walker Stephen G. in (2014)

Journal of the American Statistical Association,volume 109,issue 506 , Vol. 109, Iss. 506, 2014-04 , pp. 477-490

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Automated Tsunami Source Modeling Using the Sweeping Window Positive Elastic Net

By Percival Daniel M.,Percival Donald B.,Denbo Donald W.,Gica Edison,Huang Paul Y.,Mofjeld Harold O.,Spillane Michael C. in (2014)

Journal of the American Statistical Association,volume 109,issue 506 , Vol. 109, Iss. 506, 2014-04 , pp. 491-499

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Bayesian Forecasting of Cohort Fertility

By Schmertmann Carl,Zagheni Emilio,Goldstein Joshua R.,Myrskylä Mikko in (2014)

Journal of the American Statistical Association,volume 109,issue 506 , Vol. 109, Iss. 506, 2014-04 , pp. 500-513

Taylor & Francis Ltd

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Estimating Risk With Time-to-Event Data: An Application to the Women’s Health Initiative

By Liu Dandan,Zheng Yingye,Prentice Ross L.,Hsu Li in (2014)

Journal of the American Statistical Association,volume 109,issue 506 , Vol. 109, Iss. 506, 2014-04 , pp. 514-524

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Using Data Augmentation to Facilitate Conduct of Phase I–II Clinical Trials With Delayed Outcomes

By Jin Ick Hoon,Liu Suyu,Thall Peter F.,Yuan Ying in (2014)

Journal of the American Statistical Association,volume 109,issue 506 , Vol. 109, Iss. 506, 2014-04 , pp. 525-536

Taylor & Francis Ltd

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A Bivariate Model for Simultaneous Testing in Bioinformatics Data

By Bar Haim Y.,Booth James G.,Wells Martin T. in (2014)

Journal of the American Statistical Association,volume 109,issue 506 , Vol. 109, Iss. 506, 2014-04 , pp. 537-547

Taylor & Francis Ltd

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Object-Oriented Data Analysis of Cell Images

By Lu Xiaosun,Marron J. S.,Haaland Perry in (2014)

Journal of the American Statistical Association,volume 109,issue 506 , Vol. 109, Iss. 506, 2014-04 , pp. 548-559

Taylor & Francis Ltd

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Source-Sink Reconstruction Through Regularized Multicomponent Regression Analysis—With Application to Assessing Whether North Sea Cod Larvae Contributed to Local Fjord Cod in Skagerrak

By Chen Kun,Chan Kung-Sik,Stenseth Nils Chr. in (2014)

Journal of the American Statistical Association,volume 109,issue 506 , Vol. 109, Iss. 506, 2014-04 , pp. 560-573

Taylor & Francis Ltd

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