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      Gingival phenotype modification therapies on natural teeth: A network meta‐analysis

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          Fitting Linear Mixed-Effects Models Usinglme4

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            Flaws in the design, conduct, analysis, and reporting of randomised trials can cause the effect of an intervention to be underestimated or overestimated. The Cochrane Collaboration’s tool for assessing risk of bias aims to make the process clearer and more accurate
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              lmerTest Package: Tests in Linear Mixed Effects Models

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                Author and article information

                Contributors
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                Journal
                Journal of Periodontology
                J Periodontol
                Wiley
                0022-3492
                1943-3670
                November 2020
                June 12 2020
                November 2020
                : 91
                : 11
                : 1386-1399
                Affiliations
                [1 ]Department of Periodontics & Oral Medicine University of Michigan School of Dentistry Ann Arbor MI USA
                [2 ]Department of Biomedical and Neuromotor Sciences University of Bologna Bologna Italy
                [3 ]Department of Biomedical Engineering & Biointerfaces Institute College of Engineering University of Michigan Ann Arbor MI USA
                Article
                10.1002/JPER.19-0715
                32392401
                63948d85-67c4-46b2-98d8-7916a5bcf43f
                © 2020

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                http://doi.wiley.com/10.1002/tdm_license_1.1

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