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The new accounting for expected adjusted effect test (AEAE test) has higher positive predictive value than a zero-order significance test
Stockholms universitet, Samhällsvetenskapliga fakulteten, Psykologiska institutionen, Stressforskningsinstitutet. Karolinska Institutet, Sweden.ORCID-id: 0000-0001-5273-0150
Stockholms universitet, Samhällsvetenskapliga fakulteten, Psykologiska institutionen, Personlighets-, social- och utvecklingspsykologi. Karolinska Institutet, Sweden; Institute for Globally Distributed Open Research and Education (IGDORE), Sweden.
Antal upphovsmän: 42021 (Engelska)Ingår i: BMC Research Notes, E-ISSN 1756-0500, Vol. 14, nr 1, artikel-id 129Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Objective: The present simulation study aimed to assess positive predictive value (PPV) and negative predictive value (NPV) for our newly introduced Accounting for Expected Adjusted Effect test (AEAE test) and compare it to PPV and NPV for a traditional zero-order. significance test.

Results: The AEAE test exhibited greater PPV compared to a traditional zero-order significance test, especially with a strong true adjusted effect, low prior probability, high degree of confounding, large sample size, high reliability in the measurement of predictor X and outcome Y, and low reliability in the measurement of confounder Z. The zero-order significance test, on the other hand, exhibited higher NPV, except for some combinations of high degree of confounding and large sample size, or low reliability in the measurement of Z and high reliability in the measurement of X/Y, in which case the zero-order significance test can be completely uninformative. Taken together, the findings demonstrate desirable statistical properties for the AEAE test compared to a traditional zero-order significance test.

Ort, förlag, år, upplaga, sidor
Springer Nature, 2021. Vol. 14, nr 1, artikel-id 129
Nyckelord [en]
accounting for expected effect, confounding, negative predictive value, positive predictive value, prior probability, regression analysis, reliability, simulation
Nationell ämneskategori
Biologiska vetenskaper Psykologi
Forskningsämne
psykologi
Identifikatorer
URN: urn:nbn:se:su:diva-194267DOI: 10.1186/s13104-021-05545-4ISI: 000638001100004PubMedID: 33827666OAI: oai:DiVA.org:su-194267DiVA, id: diva2:1568471
Tillgänglig från: 2021-06-17 Skapad: 2021-06-17 Senast uppdaterad: 2024-01-17Bibliografiskt granskad

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Nilsonne, GustavIngre, Michael

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