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Accounting for Expected Adjusted Effect

Overview
Journal Front Psychol
Date 2020 Oct 12
PMID 33041911
Citations 4
Authors
Kimmo Sorjonen
Bo Melin
Michael Ingre
Affiliations
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Abstract

The point that adjustment for confounders do not always guarantee protection against spurious findings and type 1-errors has been made before. The present simulation study indicates that for traditional regression methods, this risk is accentuated by a large sample size, low reliability in the measurement of the confounder, and high reliability in the measurement of the predictor and the outcome. However, this risk might be attenuated by calculating the expected adjusted effect, or the required reliability in the measurement of the possible confounder, with equations presented in the present paper.

Citing Articles

Breastfeeding, cognitive ability, and residual confounding: A comment on studies by Pereyra-Elìas et al.

Sorjonen K, Nilsonne G, Ingre M, Melin B PLoS One. 2024; 19(3):e0297216.

PMID: 38536796 PMC: 10971766. DOI: 10.1371/journal.pone.0297216.

Regression to the mean in latent change score models: an example involving breastfeeding and intelligence.

Sorjonen K, Nilsonne G, Ingre M, Melin B BMC Pediatr. 2022; 22(1):283.

PMID: 35578205 PMC: 9109323. DOI: 10.1186/s12887-022-03349-4.

Dangers of residual confounding: a cautionary tale featuring cognitive ability, socioeconomic background, and education.

Sorjonen K, Falkstedt D, Sorberg Wallin A, Melin B, Nilsonne G BMC Psychol. 2021; 9(1):145.

PMID: 34537086 PMC: 8449433. DOI: 10.1186/s40359-021-00653-z.

The new accounting for expected adjusted effect test (AEAE test) has higher positive predictive value than a zero-order significance test.

Sorjonen K, Nilsonne G, Melin B, Ingre M BMC Res Notes. 2021; 14(1):129.

PMID: 33827666 PMC: 8028113. DOI: 10.1186/s13104-021-05545-4.

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