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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
Stockholm University, Faculty of Social Sciences, Department of Psychology, Stress Research Institute. Karolinska Institutet, Sweden.ORCID iD: 0000-0001-5273-0150
Stockholm University, Faculty of Social Sciences, Department of Psychology, Personality, Social and Developmental Psychology. Karolinska Institutet, Sweden; Institute for Globally Distributed Open Research and Education (IGDORE), Sweden.
Number of Authors: 42021 (English)In: BMC Research Notes, E-ISSN 1756-0500, Vol. 14, no 1, article id 129Article in journal (Refereed) 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.

Place, publisher, year, edition, pages
Springer Nature, 2021. Vol. 14, no 1, article id 129
Keywords [en]
accounting for expected effect, confounding, negative predictive value, positive predictive value, prior probability, regression analysis, reliability, simulation
National Category
Biological Sciences Psychology
Research subject
Psychology
Identifiers
URN: urn:nbn:se:su:diva-194267DOI: 10.1186/s13104-021-05545-4ISI: 000638001100004PubMedID: 33827666OAI: oai:DiVA.org:su-194267DiVA, id: diva2:1568471
Available from: 2021-06-17 Created: 2021-06-17 Last updated: 2024-01-17Bibliographically approved

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Nilsonne, GustavIngre, Michael

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