Academic Journal
Empirical investigations into Kruskal-Wallis power studies utilizing Bernstein fits, simulations and medical study datasets
| العنوان: | Empirical investigations into Kruskal-Wallis power studies utilizing Bernstein fits, simulations and medical study datasets |
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| المؤلفون: | Jeremy S. C. Clark, Piotr Kulig, Konrad Podsiadło, Kamila Rydzewska, Krzysztof Arabski, Monika Białecka, Krzysztof Safranow, Andrzej Ciechanowicz |
| المصدر: | Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023) |
| بيانات النشر: | Nature Portfolio |
| سنة النشر: | 2023 |
| المجموعة: | Directory of Open Access Journals: DOAJ Articles |
| مصطلحات موضوعية: | Medicine, Science |
| الوصف: | Bernstein fits implemented into R allow another route for Kruskal-Wallis power-study tool development. Monte-Carlo Kruskal-Wallis power studies were compared with measured power, a Monte-Carlo ANOVA equivalent and with an analytical method, with or without normalization, using four simulated runs, each with 60–100 populations (each population with N = 30,000 from a set of Pearson-type ranges): random selection gave 6300 samples analyzed for predictive power. Three medical-study datasets (Dialysis/systolic blood pressure; Diabetes/sleep-hours; Marital-status/high-density-lipoprotein cholesterol) were also analyzed. In three from four simulated runs (run_one, run_one_relaxed, and run_three) with Pearson types pooled, Monte-Carlo Kruskal-Wallis gave predicted sample sizes significantly slightly lower than measured but more accurate than with ANOVA methods; the latter gave high sample-size predictions. Populations (run_one_relaxed) with ANOVA assumptions invalid gave Kruskal-Wallis predictions similar to those measured. In two from three medical studies, Kruskal-Wallis predictions (Dialysis: similar predictions; Marital: higher than measured) were more accurate than ANOVA (both higher than measured) but in one (Diabetes) the reverse was found (Kruskal-Wallis: lower; Monte-Carlo ANOVA: similar to measured). These preliminary studies appear to show that Monte-Carlo Kruskal-Wallis power studies, based on Bernstein fits, might perform better than ANOVA equivalents in many settings (and provide reasonable results when ANOVA cannot be used); and both Monte-Carlo methods appeared to be considerably more accurate than the analytical version analyzed. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 2045-2322 |
| Relation: | https://doi.org/10.1038/s41598-023-29308-2; https://doaj.org/toc/2045-2322; https://doaj.org/article/fdbd2799c5ca476db0418f22997fcebd |
| DOI: | 10.1038/s41598-023-29308-2 |
| الاتاحة: | https://doi.org/10.1038/s41598-023-29308-2 https://doaj.org/article/fdbd2799c5ca476db0418f22997fcebd |
| رقم الانضمام: | edsbas.13606723 |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 20452322 |
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| DOI: | 10.1038/s41598-023-29308-2 |