Predicting the Effect of a Predictor When Controlling for Baseline
Bibliographic Data
| ID | 20282987 |
|---|---|
| Authors | Kimmo Sorjonen (0000-0001-9930-057X, Karolinska Institutet, Solna, Sweden, corresponding author), Bo Melin (0000-0002-8008-2215, Karolinska Institutet, Solna, Sweden), Michael Ingre (0000-0003-0678-4494, Karolinska Institutet, Solna, Sweden) |
| Year | 2019 |
| Volume | 79 |
| Issue | 4 |
| Pages | 688-698 |
| Publication date | 2019-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational and Psychological Measurement (JOURNAL) |
| Journal identifiers | ISSN: 0013-1644 • E-ISSN: 1552-3888 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0013164418822112 |
| PMID | 32655179 |
| OpenAlex | W2910979541 |
| Language | EN |
| Citations received | 4 |
| References cited | 20 |
The present simulation study indicates that a method where the regression effect of a predictor (X) on an outcome at follow-up (Y1) is calculated while adjusting for the outcome at baseline (Y0) can give spurious findings, especially when there is a strong correlation between X and Y0 and when the test–retest correlation between Y0 and Y1 is relatively weak. Researchers wishing to avoid spurious findings and Type 1 errors should be aware of this phenomenon and are recommended to verify found effects by an unadjusted effect of X on the Y1–Y0 difference
Baseline (sea) · Correlation · Econometrics · Outcome (game theory) · Political science · Regression · Regression analysis · Spurious relationship · Statistics · Advanced Statistical Methods and Models · Mathematics · Psychology · Statistical Methods and Inference · Statistical Methods in Clinical Trials
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| Unique citing works | 4 |
|---|---|
| Citations per year | 2 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |