Literature DB >> 28425149

Bayes' theorem and the rule of 100: a commentary on 'Validity of administrative data for identification of obstructive sleep apnea'.

Matt T Bianchi1,2.   

Abstract

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Year:  2017        PMID： 28425149     DOI： 10.1111/jsr.12534

Source DB:  PubMed          Journal:  J Sleep Res        ISSN： 0962-1105            Impact factor:   3.981


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  2 in total

1.  Use and limitations of databases and big data in sleep-disordered breathing research.

Authors:  Karin G Johnson; Douglas C Johnson; Stephen Derose
Journal:  J Clin Sleep Med       Date:  2022-03-01       Impact factor: 4.062

2.  Case-Ascertainment Models to Identify Adults with Obstructive Sleep Apnea Using Health Administrative Data: Internal and External Validation.

Authors:  Tetyana Kendzerska; Carl van Walraven; Daniel I McIsaac; Marcus Povitz; Sunita Mulpuru; Isac Lima; Robert Talarico; Shawn D Aaron; William Reisman; Andrea S Gershon
Journal:  Clin Epidemiol       Date:  2021-06-17       Impact factor: 4.790
  2 in total

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