E
Emmanuel Lesaffre
Researcher at Erasmus University Rotterdam
Publications - 168
Citations - 9261
Emmanuel Lesaffre is an academic researcher from Erasmus University Rotterdam. The author has contributed to research in topics: Random effects model & Mixed model. The author has an hindex of 49, co-authored 168 publications receiving 8636 citations. Previous affiliations of Emmanuel Lesaffre include University of Hasselt & Erasmus University Medical Center.
Papers
More filters
Journal ArticleDOI
Suggestive evidence that pelvic endometriosis is a progressive disease, whereas deeply infiltrating endometriosis is associated with pelvic pain.
TL;DR: In a 3-year prospective study of 643 consecutive laparoscopies for infertility, pelvic pain, or infertility and pain, the pelvic area, the depth of infiltration, and the volume of endometriotic lesions were evaluated.
Journal ArticleDOI
A Linear Mixed-Effects Model with Heterogeneity in the Random-Effects Population
Geert Verbeke,Emmanuel Lesaffre +1 more
TL;DR: In this paper, the authors investigated the impact of the normality assumption for random effects on their estimates in the linear mixed-effects model and showed that if the distribution of random effects is a finite mixture of normal distributions, then the random effects may be badly estimated if normality is assumed.
Journal ArticleDOI
The effect of misspecifying the random-effects distribution in linear mixed models for longitudinal data
Geert Verbeke,Emmanuel Lesaffre +1 more
TL;DR: In this paper, the maximum likelihood estimators for fixed effects and variance components in linear mixed models, obtained under the assumption of normally distributed random effects, are shown to be consistent and asymptotically normally distributed, even when the random effects distribution is not normal.
Journal ArticleDOI
The design and analysis of split-mouth studies: what statisticians and clinicians should know.
TL;DR: It is argued that it is necessary to introduce the split‐mouth design to a statistical audience, so that both clinicians and statisticians clearly understand the advantages, limitations, statistical considerations, and implications of its use in clinical trials and advise them on itsUse in practice.
Journal ArticleDOI
Neutrophil gelatinase-associated lipocalin at ICU admission predicts for acute kidney injury in adult patients.
TL;DR: NGAL measured at ICU admission predicts the development of severe AKI similarly to serum creatinine-derived eGFR, however, NGAL adds significant accuracy to this prediction in combination with eG FR alone or with other clinical parameters and has an interesting predictive value in patients with normal serum creat inine.