Quantile regression in clinical research: complete analysis for data at a loss of homogeneity
Auteur :
Cleophas, Ton J. / Zwinderman, Aeilko H.
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783030828424
Date de publication :
19 janv. 2023
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
Quantile regression is an approach to data at a loss of homogeneity, for example (1) data with outliers, (2) skewed data like corona - deaths data, (3) data with inconstant variability, (4) big data. Step by step analyses of over 20 data files stored at extras.springer.com are included for self-assessment.