Authors' rebuttal to Integrated Risk Information System (IRIS) response to "Assessing risk of bias in human environmental epidemiology studies using three tools: different conclusions from different tools".

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Title: Authors' rebuttal to Integrated Risk Information System (IRIS) response to "Assessing risk of bias in human environmental epidemiology studies using three tools: different conclusions from different tools".
Authors: Eick SM; Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA., Goin DE; Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA., Lam J; Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA.; Department of Public Health, California State University, East Bay, Hayward, CA, USA., Woodruff TJ; Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA., Chartres N; Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA. nicholas.chartres@ucsf.edu.
Source: Systematic reviews [Syst Rev] 2022 Mar 23; Vol. 11 (1), pp. 53. Date of Electronic Publication: 2022 Mar 23.
Publication Type: Letter; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101580575 Publication Model: Electronic Cited Medium: Internet ISSN: 2046-4053 (Electronic) Linking ISSN: 20464053 NLM ISO Abbreviation: Syst Rev Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Authors' rebuttal to Integrated Risk Information System (IRIS) response to "Assessing risk of bias in human environmental epidemiology studies using three tools: different conclusions from different tools".
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  Data: <searchLink fieldCode="AU" term="%22Eick+SM%22">Eick SM</searchLink>; Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.<br /><searchLink fieldCode="AU" term="%22Goin+DE%22">Goin DE</searchLink>; Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA.<br /><searchLink fieldCode="AU" term="%22Lam+J%22">Lam J</searchLink>; Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA.; Department of Public Health, California State University, East Bay, Hayward, CA, USA.<br /><searchLink fieldCode="AU" term="%22Woodruff+TJ%22">Woodruff TJ</searchLink>; Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA.<br /><searchLink fieldCode="AU" term="%22Chartres+N%22">Chartres N</searchLink>; Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA. nicholas.chartres@ucsf.edu.
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  Data: <searchLink fieldCode="JN" term="%22101580575%22">Systematic reviews</searchLink> [Syst Rev] 2022 Mar 23; Vol. 11 (1), pp. 53. <i>Date of Electronic Publication: </i>2022 Mar 23.
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  Data: Letter; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101580575 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2046-4053 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220464053%22">20464053 </searchLink><i>NLM ISO Abbreviation: </i>Syst Rev <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s13643-022-01894-8
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      – Code: eng
        Text: English
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      – TitleFull: Authors' rebuttal to Integrated Risk Information System (IRIS) response to "Assessing risk of bias in human environmental epidemiology studies using three tools: different conclusions from different tools".
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              Text: 2022 Mar 23
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