𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Multiple imputation of missing repeated outcome measurements did not add to linear mixed-effects models

✍ Scribed by Sanne A.E. Peters; Michiel L. Bots; Hester M. den Ruijter; Mike K. Palmer; Diederick E. Grobbee; John R. Crouse III; Daniel H. O’Leary; Gregory W. Evans; Joel S. Raichlen; Karel G.M. Moons; Hendrik Koffijberg

Book ID
116624069
Publisher
Elsevier Science
Year
2012
Tongue
English
Weight
456 KB
Volume
65
Category
Article
ISSN
0895-4356

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

On summary measures analysis of the line
On summary measures analysis of the linear mixed effects model for repeated measures when data are not missing completely at random
✍ Roderick J. Little; Trivellore Raghunathan 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 139 KB 👁 2 views

Subjects often drop out of longitudinal studies prematurely, yielding unbalanced data with unequal numbers of measures for each subject. A simple and convenient approach to analysis is to develop summary measures for each individual and then regress the summary measures on between-subject covariates