Literature DB >> 34812882

Use of Confidence Intervals in Interpreting Nonstatistically Significant Results.

Alexander T Hawkins1, Lauren R Samuels2.   

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Year:  2021        PMID: 34812882      PMCID: PMC9365504          DOI: 10.1001/jama.2021.16172

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   157.335


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  5 in total

1.  Minimal clinically important difference: defining what really matters to patients.

Authors:  Anna E McGlothlin; Roger J Lewis
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2.  Bayesian Analysis: Using Prior Information to Interpret the Results of Clinical Trials.

Authors:  Melanie Quintana; Kert Viele; Roger J Lewis
Journal:  JAMA       Date:  2017-10-24       Impact factor: 56.272

3.  The use of predicted confidence intervals when planning experiments and the misuse of power when interpreting results.

Authors:  S N Goodman; J A Berlin
Journal:  Ann Intern Med       Date:  1994-08-01       Impact factor: 25.391

4.  Association of Radioactive Iodine Administration After Reoperation With Outcomes Among Patients With Recurrent or Persistent Papillary Thyroid Cancer.

Authors:  Matthew L Hung; James X Wu; Ning Li; Masha J Livhits; Michael W Yeh
Journal:  JAMA Surg       Date:  2018-12-01       Impact factor: 14.766

5.  Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations.

Authors:  Sander Greenland; Stephen J Senn; Kenneth J Rothman; John B Carlin; Charles Poole; Steven N Goodman; Douglas G Altman
Journal:  Eur J Epidemiol       Date:  2016-05-21       Impact factor: 8.082

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Review 1.  Interpreting Results from Statistical Hypothesis Testing: Understanding the Appropriate P-value.

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Journal:  Phys Ther Res       Date:  2022-05-13

2.  Impact of a Vendor-Developed Opioid Clinical Decision Support Intervention on Adherence to Prescribing Guidelines, Opioid Prescribing, and Rates of Opioid-Related Encounters.

Authors:  Robert P Pierce; Bernie Eskridge; Brandi Ross; Matthew Wright; Thomas Selva
Journal:  Appl Clin Inform       Date:  2022-04-20       Impact factor: 2.762

3.  Why and how we should join the shift from significance testing to estimation.

Authors:  Daniel Berner; Valentin Amrhein
Journal:  J Evol Biol       Date:  2022-05-18       Impact factor: 2.516

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