Analysis of covariance under variance heteroscedasticity in general factorial designs
| العنوان: | Analysis of covariance under variance heteroscedasticity in general factorial designs |
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| المؤلفون: | Frank Konietschke, Cong Cao, Asanka Gunawardana, Georg Zimmermann |
| المصدر: | Statistics in Medicine. 40:4732-4749 |
| بيانات النشر: | Wiley, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | ANCOVA, Statistics and Probability, Analysis of covariance, Heteroscedasticity, Models, Statistical, Epidemiology, Variance (accounting), Approximate inference, Research Design, Sample size determination, Sample Size, Homoscedasticity, Covariate, Statistics, Humans, Computer Simulation, Box-type approximation, ANOVA-type statistic, experimental designs, 600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit, Mathematics, Statistical hypothesis testing |
| الوصف: | Adjusting for baseline values and covariates is a recurrent statistical problem in medical science. In particular, variance heteroscedasticity is non-negligible in experimental designs and ignoring it might result in false conclusions. Approximate inference methods are developed to test null hypotheses formulated in terms of adjusted treatment effects and regression parameters in general analysis of covariance designs with arbitrary numbers of factors. Variance homoscedasticity is not assumed. The distributions of the test statistics are approximated using Box-type approximation methods. Extensive simulation studies show that the procedures are particularly suitable when sample sizes are rather small. A real data set illustrates the application of the methods. |
| تدمد: | 1097-0258 0277-6715 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1299f76ebba7e0ddb26eeda1b8cfd1cbTest https://doi.org/10.1002/sim.9092Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....1299f76ebba7e0ddb26eeda1b8cfd1cb |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 10970258 02776715 |
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