Some misinterpretations of Inferential statistics in dental public health literature
Objectives Inferential statistics such as p-values and confidence intervals (CIs) are ubiquitously used in research studies. Still, researchers can incorrectly interpret them, impacting the validity and utility of the respective results.
Talal S. Alshihayb +3 more
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Reinterpreting I<sup>2</sup> Thresholds: Toward Context-Specific Heterogeneity Assessment in Evidence Synthesis. [PDF]
Martí-Carvajal AJ, Streiner DL.
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Statistical Recommendations for Immunity, Inflammation and Disease. [PDF]
Ordak M.
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Comparative Efficacy of Canggui Tanxue Acupuncture Combined with Scapular Stabilization Training versus Scapular Stabilization Training Alone for Rotator Cuff Injury: A Retrospective Cohort Study [Letter]. [PDF]
Joshi M, Sharma R, Vaid N.
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Immuno-Proteomic Features Associated to Relapse Risk in Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease. [PDF]
Gallaccio G +20 more
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Safety Evaluation of the RibXcar Technique Using the Piezotome: An Analysis of Surgical Complications. [PDF]
Perez Pachon ME, Hoyos Ariza AE.
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Causal effect estimation from trans-regulatory single-cell CRISPR screens. [PDF]
Christensen OP +4 more
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Estimating marginal effects with zero-inflated models: A tutorial with the R package mzim. [PDF]
Li C, Kwok OM, Lawrence T.
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Practical statistics for bioimage analysis - a guide to experimental design and data interpretation. [PDF]
Marcotti S +3 more
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Statistical interpretation of medical data of patients with alcohol abuse
Bardarov Ventzislav +6 more
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