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1
Transportability of Trial Results Using Inverse Odds of Sampling Weights
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Transportability of Trial Results Using Inverse Odds of Sampling Weights

American journal of epidemiology, 2017-10, Vol.186 (8), p.1010-1014 [Peer Reviewed Journal]

The Author(s) 2017. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. ;The Author(s) 2017. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2017 ;ISSN: 0002-9262 ;EISSN: 1476-6256 ;DOI: 10.1093/aje/kwx164 ;PMID: 28535275

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2
An introduction to g methods
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An introduction to g methods

International journal of epidemiology, 2017-04, Vol.46 (2), p.756-762 [Peer Reviewed Journal]

The Author 2016; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association. ;The Author 2016; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association 2016 ;ISSN: 0300-5771 ;EISSN: 1464-3685 ;DOI: 10.1093/ije/dyw323 ;PMID: 28039382

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3
Competing Risk Regression Models for Epidemiologic Data
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Competing Risk Regression Models for Epidemiologic Data

American journal of epidemiology, 2009-07, Vol.170 (2), p.244-256 [Peer Reviewed Journal]

American Journal of Epidemiology © The Author 2009. Published by the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org. 2009 ;American Journal of Epidemiology © The Author 2009. Published by the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org. ;ISSN: 0002-9262 ;EISSN: 1476-6256 ;DOI: 10.1093/aje/kwp107 ;PMID: 19494242

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4
Bivariate meta-analysis of sensitivity and specificity with sparse data: a generalized linear mixed model approach
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Bivariate meta-analysis of sensitivity and specificity with sparse data: a generalized linear mixed model approach

Journal of clinical epidemiology, 2006-12, Vol.59 (12), p.1331-1332 [Peer Reviewed Journal]

2006 Elsevier Inc. ;ISSN: 0895-4356 ;EISSN: 1878-5921 ;DOI: 10.1016/j.jclinepi.2006.06.011 ;PMID: 17098577

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5
Empirical Comparison of Publication Bias Tests in Meta-Analysis
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Empirical Comparison of Publication Bias Tests in Meta-Analysis

Journal of general internal medicine : JGIM, 2018-08, Vol.33 (8), p.1260-1267 [Peer Reviewed Journal]

Society of General Internal Medicine 2018 ;Journal of General Internal Medicine is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0884-8734 ;EISSN: 1525-1497 ;DOI: 10.1007/s11606-018-4425-7 ;PMID: 29663281

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6
Generalizing Evidence From Randomized Clinical Trials to Target Populations
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Generalizing Evidence From Randomized Clinical Trials to Target Populations

American journal of epidemiology, 2010-07, Vol.172 (1), p.107-115 [Peer Reviewed Journal]

ISSN: 0002-9262 ;EISSN: 1476-6256 ;DOI: 10.1093/aje/kwq084

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7
Surprise
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Surprise

American journal of epidemiology, 2021-02, Vol.190 (2), p.191-193 [Peer Reviewed Journal]

The Author(s) 2020. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2020 ;The Author(s) 2020. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. ;ISSN: 0002-9262 ;EISSN: 1476-6256 ;DOI: 10.1093/aje/kwaa136 ;PMID: 32648906

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8
Sensitivity analyses for effect modifiers not observed in the target population when generalizing treatment effects from a randomized controlled trial: Assumptions, models, effect scales, data scenarios, and implementation details
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Sensitivity analyses for effect modifiers not observed in the target population when generalizing treatment effects from a randomized controlled trial: Assumptions, models, effect scales, data scenarios, and implementation details

PloS one, 2018-12, Vol.13 (12), p.e0208795-e0208795 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Nguyen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 Nguyen et al 2018 Nguyen et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0208795 ;PMID: 30533053

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9
Multiple Imputation for Incomplete Data in Epidemiologic Studies
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Multiple Imputation for Incomplete Data in Epidemiologic Studies

American journal of epidemiology, 2018-03, Vol.187 (3), p.576-584 [Peer Reviewed Journal]

Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2018. This work is written by (a) US Government employee(s) and is in the public domain in the US. 2018 ;Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2018. This work is written by (a) US Government employee(s) and is in the public domain in the US. ;ISSN: 0002-9262 ;EISSN: 1476-6256 ;DOI: 10.1093/aje/kwx349 ;PMID: 29165547

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10
Target Validity and the Hierarchy of Study Designs
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Target Validity and the Hierarchy of Study Designs

American journal of epidemiology, 2019-02, Vol.188 (2), p.438-443 [Peer Reviewed Journal]

The Author(s) 2018. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2018 ;The Author(s) 2018. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. ;ISSN: 0002-9262 ;EISSN: 1476-6256 ;DOI: 10.1093/aje/kwy228 ;PMID: 30299451

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11
Invited commentary: positivity in practice
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Invited commentary: positivity in practice

American journal of epidemiology, 2010-03, Vol.171 (6), p.674-677 [Peer Reviewed Journal]

American Journal of Epidemiology © The Author 2010. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org. 2010 ;ISSN: 0002-9262 ;EISSN: 1476-6256 ;DOI: 10.1093/aje/kwp436 ;PMID: 20139125

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12
Maximum likelihood, profile likelihood, and penalized likelihood: a primer
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Maximum likelihood, profile likelihood, and penalized likelihood: a primer

American journal of epidemiology, 2014-01, Vol.179 (2), p.252-260 [Peer Reviewed Journal]

Copyright Oxford Publishing Limited(England) Jan 15, 2014 ;The Author 2013. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2013 ;ISSN: 0002-9262 ;EISSN: 1476-6256 ;DOI: 10.1093/aje/kwt245 ;PMID: 24173548

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13
Illustrating bias due to conditioning on a collider
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Illustrating bias due to conditioning on a collider

International journal of epidemiology, 2010-04, Vol.39 (2), p.417-420 [Peer Reviewed Journal]

2015 INIST-CNRS ;Published by Oxford University Press on behalf of the International Epidemiological Association © The Author 2009; all rights reserved. 2009 ;ISSN: 0300-5771 ;EISSN: 1464-3685 ;DOI: 10.1093/ije/dyp334 ;PMID: 19926667 ;CODEN: IJEPBF

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14
Effect Estimates in Randomized Trials and Observational Studies: Comparing Apples With Apples
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Effect Estimates in Randomized Trials and Observational Studies: Comparing Apples With Apples

American journal of epidemiology, 2019-08, Vol.188 (8), p.1569-1577 [Peer Reviewed Journal]

The Author(s) 2019. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2019 ;The Author(s) 2019. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0002-9262 ;EISSN: 1476-6256 ;DOI: 10.1093/aje/kwz100 ;PMID: 31063192

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15
Generalizing Evidence From Randomized Clinical Trials to Target Populations: The ACTG 320 Trial
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Article
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Generalizing Evidence From Randomized Clinical Trials to Target Populations: The ACTG 320 Trial

American journal of epidemiology, 2010-07, Vol.172 (1), p.107-115 [Peer Reviewed Journal]

2015 INIST-CNRS ;Copyright Oxford Publishing Limited(England) Jul 1, 2010 ;American Journal of Epidemiology © The Author 2010. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org. 2010 ;ISSN: 0002-9262 ;EISSN: 1476-6256 ;DOI: 10.1093/aje/kwq084 ;PMID: 20547574 ;CODEN: AJEPAS

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16
Fiber‐Optic Network Observations of Earthquake Wavefields
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Article
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Fiber‐Optic Network Observations of Earthquake Wavefields

Geophysical research letters, 2017-12, Vol.44 (23), p.11,792-11,799 [Peer Reviewed Journal]

2017. American Geophysical Union. All Rights Reserved. ;2018. American Geophysical Union. All Rights Reserved. ;ISSN: 0094-8276 ;EISSN: 1944-8007 ;DOI: 10.1002/2017GL075722

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17
The use of propensity scores to assess the generalizability of results from randomized trials
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The use of propensity scores to assess the generalizability of results from randomized trials

Journal of the Royal Statistical Society. Series A, Statistics in society, 2011-04, Vol.174 (2), p.369-386 [Peer Reviewed Journal]

Copyright © 2011 The Royal Statistical Society and Blackwell Publishing Ltd. ;2010 Royal Statistical Society ;2015 INIST-CNRS ;Copyright Blackwell Publishing Ltd. Apr 2011 ;ISSN: 0964-1998 ;EISSN: 1467-985X ;DOI: 10.1111/j.1467-985X.2010.00673.x ;PMID: 24926156

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18
Principled Approaches to Missing Data in Epidemiologic Studies
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Principled Approaches to Missing Data in Epidemiologic Studies

American journal of epidemiology, 2018-03, Vol.187 (3), p.568-575 [Peer Reviewed Journal]

Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2018. This work is written by (a) US Government employee(s) and is in the public domain in the US. 2018 ;Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2018. This work is written by (a) US Government employee(s) and is in the public domain in the US. ;ISSN: 0002-9262 ;EISSN: 1476-6256 ;DOI: 10.1093/aje/kwx348 ;PMID: 29165572

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19
New Delhi Metallo-β-Lactamase-5-Producing Escherichia coli in Companion Animals, United States
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Article
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New Delhi Metallo-β-Lactamase-5-Producing Escherichia coli in Companion Animals, United States

Emerging infectious diseases, 2020-02, Vol.26 (2), p.381-383 [Peer Reviewed Journal]

Published 2020. This article is a U.S. Government work and is in the public domain in the USA. ;ISSN: 1080-6040 ;EISSN: 1080-6059 ;DOI: 10.3201/eid2602.191221 ;PMID: 31961309

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20
Constructing Inverse Probability Weights for Marginal Structural Models
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Constructing Inverse Probability Weights for Marginal Structural Models

American journal of epidemiology, 2008-09, Vol.168 (6), p.656-664 [Peer Reviewed Journal]

American Journal of Epidemiology © The Author 2008. Published by the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org. 2008 ;2008 INIST-CNRS ;American Journal of Epidemiology © The Author 2008. Published by the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org. ;ISSN: 0002-9262 ;EISSN: 1476-6256 ;DOI: 10.1093/aje/kwn164 ;PMID: 18682488 ;CODEN: AJEPAS

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