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Material Type: Article
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Regularization Methods for High-Dimensional Instrumental Variables Regression With an Application to Genetical GenomicsJournal of the American Statistical Association, 2015-03, Vol.110 (509), p.270-288 [Peer Reviewed Journal]American Statistical Association 2015 ;2015 American Statistical Association ;Copyright Taylor & Francis Ltd. Mar 2015 ;ISSN: 1537-274X ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2014.908125 ;PMID: 26392642 ;CODEN: JSTNALDigital Resources/Online E-Resources |
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2 |
Material Type: Article
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On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid InstrumentsJournal of the American Statistical Association, 2019-07, Vol.114 (527), p.1339-1350 [Peer Reviewed Journal]2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2018 ;2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. ;2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2018 The Author(s) ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2018.1498346 ;PMID: 31708716Digital Resources/Online E-Resources |
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3 |
Material Type: Article
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Instrumental Variable Estimators for Binary OutcomesJournal of the American Statistical Association, 2012-12, Vol.107 (500), p.1638-1652 [Peer Reviewed Journal]Copyright Taylor & Francis Group, LLC 2012 ;2012 American Statistical Association ;Copyright Taylor & Francis Ltd. Dec 2012 ;ISSN: 1537-274X ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2012.734171 ;CODEN: JSTNALDigital Resources/Online E-Resources |
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4 |
Material Type: Article
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Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Varying Coefficient ModelsJournal of the American Statistical Association, 2014-07, Vol.109 (507), p.1270-1284 [Peer Reviewed Journal]2014 American Statistical Association 2014 ;Copyright © 2014 American Statistical Association ;Copyright Taylor & Francis Ltd. Sep 2014 ;ISSN: 1537-274X ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2013.879828 ;PMID: 25309009 ;CODEN: JSTNALDigital Resources/Online E-Resources |
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5 |
Material Type: Article
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Feature Screening via Distance Correlation LearningJournal of the American Statistical Association, 2012-09, Vol.107 (499), p.1129-1139 [Peer Reviewed Journal]Copyright Taylor & Francis Group, LLC 2012 ;2012 American Statistical Association ;Copyright American Statistical Association Sep 2012 ;ISSN: 1537-274X ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2012.695654 ;PMID: 25249709 ;CODEN: JSTNALDigital Resources/Online E-Resources |
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6 |
Material Type: Article
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Causal Spillover Effects Using Instrumental VariablesJournal of the American Statistical Association, 2023-07, Vol.118 (543), p.1911-1922 [Peer Reviewed Journal]2022 American Statistical Association 2022 ;2022 American Statistical Association ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2021.2021920Digital Resources/Online E-Resources |
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7 |
Material Type: Article
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Distance-Based Analysis of Ordinal Data and Ordinal Time SeriesJournal of the American Statistical Association, 2020-07, Vol.115 (531), p.1189-1200 [Peer Reviewed Journal]2019 American Statistical Association 2019 ;2019 American Statistical Association ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2019.1604370Digital Resources/Online E-Resources |
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8 |
Material Type: Article
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A New Coefficient of CorrelationJournal of the American Statistical Association, 2021-10, Vol.116 (536), p.2009-2022 [Peer Reviewed Journal]2020 American Statistical Association 2020 ;2020 American Statistical Association ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2020.1758115Digital Resources/Online E-Resources |
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9 |
Material Type: Article
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EMVS: The EM Approach to Bayesian Variable SelectionJournal of the American Statistical Association, 2014-06, Vol.109 (506), p.828-846 [Peer Reviewed Journal]2014 American Statistical Association 2014 ;Copyright © 2014 American Statistical Association ;Copyright Taylor & Francis Ltd. Jun 2014 ;ISSN: 1537-274X ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2013.869223 ;CODEN: JSTNALDigital Resources/Online E-Resources |
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10 |
Material Type: Article
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Decoupling Shrinkage and Selection in Bayesian Linear Models: A Posterior Summary PerspectiveJournal of the American Statistical Association, 2015-03, Vol.110 (509), p.435-448 [Peer Reviewed Journal]American Statistical Association 2015 ;2015 American Statistical Association ;Copyright Taylor & Francis Ltd. Mar 2015 ;ISSN: 1537-274X ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2014.993077 ;CODEN: JSTNALDigital Resources/Online E-Resources |
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11 |
Material Type: Article
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Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive ModelsJournal of the American Statistical Association, 2022-01, Vol.117 (537), p.184-197 [Peer Reviewed Journal]2020 American Statistical Association 2020 ;2020 American Statistical Association ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2020.1765784Digital Resources/Online E-Resources |
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12 |
Material Type: Article
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Marginal and Nested Structural Models Using Instrumental VariablesJournal of the American Statistical Association, 2010-03, Vol.105 (489), p.157-169 [Peer Reviewed Journal]2010 American Statistical Association 2010 ;2010 American Statistical Association ;Copyright American Statistical Association Mar 2010 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1198/jasa.2009.tm08299 ;CODEN: JSTNALDigital Resources/Online E-Resources |
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13 |
Material Type: Article
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Identifiability of Normal and Normal Mixture Models with Nonignorable Missing DataJournal of the American Statistical Association, 2016-12, Vol.111 (516), p.1673-1683 [Peer Reviewed Journal]2016 American Statistical Association 2016 ;Copyright © 2016 American Statistical Association ;2016 American Statistical Association ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2015.1105808 ;CODEN: JSTNALDigital Resources/Online E-Resources |
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14 |
Material Type: Article
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Sensitivity Analysis for Instrumental Variables Regression With Overidentifying RestrictionsJournal of the American Statistical Association, 2007-09, Vol.102 (479), p.1049-1058 [Peer Reviewed Journal]American Statistical Association 2007 ;Copyright 2007 American Statistical Association ;2007 INIST-CNRS ;Copyright American Statistical Association Sep 2007 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1198/016214507000000608 ;CODEN: JSTNALDigital Resources/Online E-Resources |
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15 |
Material Type: Article
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Optimal Detection of Changepoints With a Linear Computational CostJournal of the American Statistical Association, 2012-12, Vol.107 (500), p.1590-1598 [Peer Reviewed Journal]Copyright Taylor & Francis Group, LLC 2012 ;2012 American Statistical Association ;Copyright Taylor & Francis Ltd. Dec 2012 ;ISSN: 1537-274X ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2012.737745 ;CODEN: JSTNALDigital Resources/Online E-Resources |
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16 |
Material Type: Article
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p-Values for High-Dimensional RegressionJournal of the American Statistical Association, 2009-12, Vol.104 (488), p.1671-1681 [Peer Reviewed Journal]2009 American Statistical Association 2009 ;2009 American Statistical Association ;2015 INIST-CNRS ;Copyright American Statistical Association Dec 2009 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1198/jasa.2009.tm08647 ;CODEN: JSTNALDigital Resources/Online E-Resources |
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17 |
Material Type: Article
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Proportional Hazards Model With Covariate Measurement Error and Instrumental VariablesJournal of the American Statistical Association, 2014-12, Vol.109 (508), p.1636-1646 [Peer Reviewed Journal]2014 American Statistical Association 2014 ;Copyright © 2014 American Statistical Association ;COPYRIGHT 2014 American Statistical Association ;Copyright Taylor & Francis Ltd. Dec 2014 ;ISSN: 1537-274X ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2014.896805 ;PMID: 25663724 ;CODEN: JSTNALDigital Resources/Online E-Resources |
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18 |
Material Type: Article
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Biased Encouragements and Heterogeneous Effects in an Instrumental Variable Study of Emergency General Surgical OutcomesJournal of the American Statistical Association, 2021-10, Vol.116 (536), p.1625-1636 [Peer Reviewed Journal]2021 American Statistical Association 2021 ;2021 American Statistical Association ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2020.1863220Digital Resources/Online E-Resources |
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19 |
Material Type: Article
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Testing the Predictability of U.S. Housing Price Index Returns Based on an IVX-AR ModelJournal of the American Statistical Association, 2020-12, Vol.115 (532), p.1598-1619 [Peer Reviewed Journal]2020 American Statistical Association 2020 ;2020 American Statistical Association ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2019.1686392Digital Resources/Online E-Resources |
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20 |
Material Type: Article
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Inference in High-Dimensional Multivariate Response Regression with Hidden VariablesJournal of the American Statistical Association, 2023-09, p.1-12 [Peer Reviewed Journal]ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2023.2241701Digital Resources/Online E-Resources |