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1
Overestimation of risk ratios by odds ratios in trials and cohort studies: alternatives to logistic regression
Overestimation of risk ratios by odds ratios in trials and cohort studies: alternatives to logistic regression
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Overestimation of risk ratios by odds ratios in trials and cohort studies: alternatives to logistic regression

Canadian Medical Association journal (CMAJ), 2012-05, Vol.184 (8), p.895-899 [Peer Reviewed Journal]

COPYRIGHT 2012 Joule Inc. ;COPYRIGHT 2012 CMA Joule Inc. ;Copyright Canadian Medical Association May 15, 2012 ;1995-2012, Canadian Medical Association 2012 ;ISSN: 0820-3946 ;EISSN: 1488-2329 ;DOI: 10.1503/cmaj.101715 ;PMID: 22158397 ;CODEN: CMAJAX

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2
Confounding, effect modification, and the odds ratio: common misinterpretations
Confounding, effect modification, and the odds ratio: common misinterpretations
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Confounding, effect modification, and the odds ratio: common misinterpretations

Journal of clinical epidemiology, 2015-04, Vol.68 (4), p.470-474 [Peer Reviewed Journal]

Elsevier Inc. ;2015 Elsevier Inc. ;Copyright Elsevier Limited Apr 2015 ;ISSN: 0895-4356 ;EISSN: 1878-5921 ;DOI: 10.1016/j.jclinepi.2014.12.012 ;PMID: 25662008

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3
Transforming the Area under the Normal Curve (AUC) into Cohen's d, Pearson's rpb, Odds-Ratio, and Natural Log Odds-Ratio: Two Conversion Tables
Transforming the Area under the Normal Curve (AUC) into Cohen's d, Pearson's rpb, Odds-Ratio, and Natural Log Odds-Ratio: Two Conversion Tables
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Transforming the Area under the Normal Curve (AUC) into Cohen's d, Pearson's rpb, Odds-Ratio, and Natural Log Odds-Ratio: Two Conversion Tables

The European journal of psychology applied to legal context, 2018-01, Vol.10 (1), p.35-47 [Peer Reviewed Journal]

Copyright Sociedad Española de Psicología Jurídica y Forense Jan 2018 ;Copyright Colegio Oficial de Psicólogos (PSICODOC) Jan 2018 ;ISSN: 1889-1861 ;EISSN: 1989-4007 ;DOI: 10.5093/ejpalc2018a5

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4
Overfitting in propensity score model: a commentary on ‘Propensity score model overfitting led to inflated variance of estimated odds ratios’ by Schuster et al
Overfitting in propensity score model: a commentary on ‘Propensity score model overfitting led to inflated variance of estimated odds ratios’ by Schuster et al
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Overfitting in propensity score model: a commentary on ‘Propensity score model overfitting led to inflated variance of estimated odds ratios’ by Schuster et al

Journal of clinical epidemiology, 2017-08, Vol.88, p.160-161 [Peer Reviewed Journal]

Elsevier Inc. ;2017 Elsevier Inc. ;Copyright Elsevier Science Ltd. Aug 1, 2017 ;ISSN: 0895-4356 ;EISSN: 1878-5921 ;DOI: 10.1016/j.jclinepi.2017.05.011 ;PMID: 28549930

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5
On the covariance of two correlated log-odds ratios
On the covariance of two correlated log-odds ratios
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On the covariance of two correlated log-odds ratios

Statistics in medicine, 2012-06, Vol.31 (14), p.1418-1431 [Peer Reviewed Journal]

Copyright © 2012 John Wiley & Sons, Ltd. ;Copyright John Wiley and Sons, Limited Jun 30, 2012 ;ISSN: 0277-6715 ;EISSN: 1097-0258 ;DOI: 10.1002/sim.4474 ;PMID: 22302419 ;CODEN: SMEDDA

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6
Aberrations Involving Chromosome 1 as a Possible Predictor of Odds Ratio for Colon Cancer--Results from the Krakow Case-Control Study
Aberrations Involving Chromosome 1 as a Possible Predictor of Odds Ratio for Colon Cancer--Results from the Krakow Case-Control Study
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Aberrations Involving Chromosome 1 as a Possible Predictor of Odds Ratio for Colon Cancer--Results from the Krakow Case-Control Study

PloS one, 2016-01, Vol.11 (1), p.e0147658-e0147658 [Peer Reviewed Journal]

COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Galas, Miszczyk. 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. ;2016 Galas, Miszczyk 2016 Galas, Miszczyk ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0147658 ;PMID: 26824604

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7
Genotype‐Based Association Analysis Using Discordant Pairs: A Penetrance Odds Ratio Approach
Genotype‐Based Association Analysis Using Discordant Pairs: A Penetrance Odds Ratio Approach
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Genotype‐Based Association Analysis Using Discordant Pairs: A Penetrance Odds Ratio Approach

Annals of human genetics, 2013-03, Vol.77 (2), p.137-146 [Peer Reviewed Journal]

2013 Blackwell Publishing Ltd/University College London ;2013 Blackwell Publishing Ltd/University College London. ;ISSN: 0003-4800 ;EISSN: 1469-1809 ;DOI: 10.1111/ahg.12002 ;PMID: 23362881 ;CODEN: ANHGAA

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8
Transformation of Summary Statistics from Linear Mixed Model Association on All-or-None Traits to Odds Ratio
Transformation of Summary Statistics from Linear Mixed Model Association on All-or-None Traits to Odds Ratio
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Transformation of Summary Statistics from Linear Mixed Model Association on All-or-None Traits to Odds Ratio

Genetics (Austin), 2018-04, Vol.208 (4), p.1397-1408 [Peer Reviewed Journal]

Copyright © 2018 by the Genetics Society of America. ;Copyright Genetics Society of America Apr 2018 ;Copyright © 2018 by the Genetics Society of America 2018 ;ISSN: 1943-2631 ;ISSN: 0016-6731 ;EISSN: 1943-2631 ;DOI: 10.1534/genetics.117.300360 ;PMID: 29429966

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9
Interpreting the concordance statistic of a logistic regression model: relation to the variance and odds ratio of a continuous explanatory variable
Interpreting the concordance statistic of a logistic regression model: relation to the variance and odds ratio of a continuous explanatory variable
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Interpreting the concordance statistic of a logistic regression model: relation to the variance and odds ratio of a continuous explanatory variable

BMC medical research methodology, 2012-06, Vol.12 (1), p.82-82, Article 82 [Peer Reviewed Journal]

COPYRIGHT 2012 BioMed Central Ltd. ;2012 Austin and Steyerberg; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ;Copyright ©2012 Austin and Steyerberg; licensee BioMed Central Ltd. 2012 Austin and Steyerberg; licensee BioMed Central Ltd. ;ISSN: 1471-2288 ;EISSN: 1471-2288 ;DOI: 10.1186/1471-2288-12-82 ;PMID: 22716998

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10
Bias in odds ratios by logistic regression modelling and sample size
Bias in odds ratios by logistic regression modelling and sample size
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Bias in odds ratios by logistic regression modelling and sample size

BMC medical research methodology, 2009-07, Vol.9 (1), p.56-56, Article 56 [Peer Reviewed Journal]

2009 Nemes et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ;Copyright ©2009 Nemes et al; licensee BioMed Central Ltd. 2009 Nemes et al; licensee BioMed Central Ltd. ;ISSN: 1471-2288 ;EISSN: 1471-2288 ;DOI: 10.1186/1471-2288-9-56 ;PMID: 19635144

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11
On doubly robust estimation in a semiparametric odds ratio model
On doubly robust estimation in a semiparametric odds ratio model
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On doubly robust estimation in a semiparametric odds ratio model

Biometrika, 2010-03, Vol.97 (1), p.171-180 [Peer Reviewed Journal]

2010 Biometrika Trust ;Oxford University Press © 2009 Biometrika Trust 2009 ;2015 INIST-CNRS ;Copyright Oxford Publishing Limited(England) Mar 2010 ;2009 Biometrika Trust 2009 Oxford University Press ;ISSN: 0006-3444 ;ISSN: 1464-3510 ;EISSN: 1464-3510 ;DOI: 10.1093/biomet/asp062 ;PMID: 23049119 ;CODEN: BIOKAX

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12
Interpretation of genetic association studies: markers with replicated highly significant odds ratios may be poor classifiers
Interpretation of genetic association studies: markers with replicated highly significant odds ratios may be poor classifiers
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Interpretation of genetic association studies: markers with replicated highly significant odds ratios may be poor classifiers

PLoS genetics, 2009-02, Vol.5 (2), p.e1000337-e1000337 [Peer Reviewed Journal]

COPYRIGHT 2009 Public Library of Science ;COPYRIGHT 2009 Public Library of Science ;Jakobsdottir et al. 2009 ;2009 Jakobsdottir et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Jakobsdottir J, Gorin MB, Conley YP, Ferrell RE, Weeks DE (2009) Interpretation of Genetic Association Studies: Markers with Replicated Highly Significant Odds Ratios May Be Poor Classifiers. PLoS Genet 5(2): e1000337. doi:10.1371/journal.pgen.1000337 ;ISSN: 1553-7404 ;ISSN: 1553-7390 ;EISSN: 1553-7404 ;DOI: 10.1371/journal.pgen.1000337 ;PMID: 19197355

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13
Evaluation of the propensity score methods for estimating marginal odds ratios in case of small sample size
Evaluation of the propensity score methods for estimating marginal odds ratios in case of small sample size
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Evaluation of the propensity score methods for estimating marginal odds ratios in case of small sample size

BMC medical research methodology, 2012-05, Vol.12 (1), p.70-70, Article 70 [Peer Reviewed Journal]

COPYRIGHT 2012 BioMed Central Ltd. ;2012 Pirracchio et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ;Distributed under a Creative Commons Attribution 4.0 International License ;Copyright ©2012 Pirracchio et al.; licensee BioMed Central Ltd. 2012 Pirracchio et al.; licensee BioMed Central Ltd. ;ISSN: 1471-2288 ;EISSN: 1471-2288 ;DOI: 10.1186/1471-2288-12-70 ;PMID: 22646911

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14
Noise exposure in occupational setting associated with elevated blood pressure in China
Noise exposure in occupational setting associated with elevated blood pressure in China
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Noise exposure in occupational setting associated with elevated blood pressure in China

BMC public health, 2017-01, Vol.17 (1), p.107-107, Article 107 [Peer Reviewed Journal]

COPYRIGHT 2017 BioMed Central Ltd. ;Copyright BioMed Central 2017 ;2017. This work is licensed under 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. ;The Author(s). 2017 ;ISSN: 1471-2458 ;EISSN: 1471-2458 ;DOI: 10.1186/s12889-017-4050-0 ;PMID: 28114916

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15
The uniformly minimum variance unbiased estimator of odds ratio in case–control studies under inverse sampling
The uniformly minimum variance unbiased estimator of odds ratio in case–control studies under inverse sampling
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The uniformly minimum variance unbiased estimator of odds ratio in case–control studies under inverse sampling

Statistical papers (Berlin, Germany), 2012-05, Vol.53 (2), p.305-309 [Peer Reviewed Journal]

Springer-Verlag 2010 ;Springer-Verlag 2012 ;ISSN: 0932-5026 ;EISSN: 1613-9798 ;DOI: 10.1007/s00362-010-0337-2

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16
Propensity score model overfitting led to inflated variance of estimated odds ratios
Propensity score model overfitting led to inflated variance of estimated odds ratios
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Propensity score model overfitting led to inflated variance of estimated odds ratios

Journal of clinical epidemiology, 2016-12, Vol.80, p.97-106 [Peer Reviewed Journal]

Elsevier Inc. ;2016 Elsevier Inc. ;Copyright © 2016 Elsevier Inc. All rights reserved. ;Copyright Elsevier Limited Dec 01, 2016 ;ISSN: 0895-4356 ;EISSN: 1878-5921 ;DOI: 10.1016/j.jclinepi.2016.05.017 ;PMID: 27498378

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17
Observational studies using propensity score analysis underestimated the effect sizes in critical care medicine
Observational studies using propensity score analysis underestimated the effect sizes in critical care medicine
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Observational studies using propensity score analysis underestimated the effect sizes in critical care medicine

Journal of clinical epidemiology, 2014-08, Vol.67 (8), p.932-939 [Peer Reviewed Journal]

Elsevier Inc. ;2014 Elsevier Inc. ;2015 INIST-CNRS ;Copyright © 2014 Elsevier Inc. All rights reserved. ;Copyright Elsevier Limited Aug 2014 ;ISSN: 0895-4356 ;EISSN: 1878-5921 ;DOI: 10.1016/j.jclinepi.2014.02.018 ;PMID: 24774469

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18
The Relative Merits of Risk Ratios and Odds Ratios
The Relative Merits of Risk Ratios and Odds Ratios
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The Relative Merits of Risk Ratios and Odds Ratios

Archives of pediatrics & adolescent medicine, 2009-05, Vol.163 (5), p.438-445

2009 INIST-CNRS ;Copyright American Medical Association May 2009 ;ISSN: 1072-4710 ;EISSN: 1538-3628 ;DOI: 10.1001/archpediatrics.2009.31 ;PMID: 19414690

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19
Diagnostic tests often fail to lead to changes in patient outcomes
Diagnostic tests often fail to lead to changes in patient outcomes
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Diagnostic tests often fail to lead to changes in patient outcomes

Journal of clinical epidemiology, 2014-06, Vol.67 (6), p.612-621 [Peer Reviewed Journal]

2014 ;2015 INIST-CNRS ;Copyright © 2014. Published by Elsevier Inc. ;Copyright Elsevier Limited Jun 2014 ;ISSN: 0895-4356 ;EISSN: 1878-5921 ;DOI: 10.1016/j.jclinepi.2013.12.008 ;PMID: 24679598

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20
Sensitivity subgroup analysis based on single-center vs. multi-center trial status when interpreting meta-analyses pooled estimates: the logical way forward
Sensitivity subgroup analysis based on single-center vs. multi-center trial status when interpreting meta-analyses pooled estimates: the logical way forward
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Sensitivity subgroup analysis based on single-center vs. multi-center trial status when interpreting meta-analyses pooled estimates: the logical way forward

Journal of clinical epidemiology, 2016-06, Vol.74, p.80-92 [Peer Reviewed Journal]

Elsevier Inc. ;2015 Elsevier Inc. ;Copyright © 2015 Elsevier Inc. All rights reserved. ;Copyright Elsevier Limited Jun 01, 2016 ;ISSN: 0895-4356 ;EISSN: 1878-5921 ;DOI: 10.1016/j.jclinepi.2015.08.027 ;PMID: 26597972

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