Small-sample performance and underlying assumptions of a bootstrap-based inference method for a general analysis of covariance model with possibly heteroskedastic and nonnormal errors

Erstveröffentlichung
2019
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Autoren
Zimmermann, Georg
Pauly, Markus
Bathke, Arne C.
Fakultäten
Fakultät für Mathematik und Wirtschaftswissenschaften
Institutionen
Institut für Statistik
Erschienen in
Statistical Methods in Medical Research ; 28 (2019), 12. - S. 3808-3821. - ISSN 0962-2802. - eISSN 1477-0334
Link zur Veröffentlichung
https://dx.doi.org/10.1177/0962280218817796
Schlagwörter
Heteroskedasticity-consistent covariance matrix estimator; analysis of covariance; rare disease; resampling; small sample; wild bootstrap; RANDOMIZED CLINICAL-TRIALS; SPINAL-CORD-INJURY; REGRESSION; ADJUSTMENT; ANCOVA; ESTIMATORS; PARAMETERS; LINE
DDC-Sachgruppe
DDC 500 / Natural sciences & mathematics
DDC 510 / Mathematics
DDC 610 / Medicine & health
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