Emmanuel Lesaffre

发表

What is the best approach to analyze longitudinal bounded scores? Application to Quality of Life Data.

Anne-Françoise Donneau, Cibele M. Russo, Nadia Dardenne, 2017 .

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS

Arnošt Komárek, Emmanuel Lesaffre, Kris Bogaerts, 2017 .

Baseline and treatment effect heterogeneity for survival times between centers using a random effects accelerated failure time model with flexible error distribution

Catherine Legrand, Emmanuel Lesaffre, Arnost Komárek, 2007, Statistics in medicine.

Integration of statistical data quality in large clinical data bases

Emmanuel Lesaffre, L. J. Dekeyser, E. Lesaffre, 1983 .

A General Method for Dealing with Misclassification in Regression: The Misclassification SIMEX

Emmanuel Lesaffre, Helmut Küchenhoff, Samuel M Mwalili, 2006, Biometrics.

Model Building and Assessment

Andrew B. Lawson, Emmanuel Lesaffre, 2012 .

Spatial Applications: Disease Mapping and Image Analysis

Andrew B. Lawson, Emmanuel Lesaffre, 2012 .

Introduction to the special issue on joint modelling techniques

Dimitris Rizopoulos, Emmanuel Lesaffre, E. Lesaffre, 2014, Statistical methods in medical research.

Model for Paired Doubly-Interval-Censored Data

Emmanuel Lesaffre, 2005 .

Comparing hierarchical models via the marginalized deviance information criterion

Emmanuel Lesaffre, Adrian Quintero, E. Lesaffre, 2018, Statistics in medicine.

Sensitivity improvement in detecting visual field progression by modeling Global Visit Effects

Paul H. C. Eilers, Hans G. Lemij, Koenraad A. Vermeer, 2015 .

Multilevel factor analytic models for assessing the relationship between nurse-reported adverse events and patient safety

Walter Sermeus, Emmanuel Lesaffre, Luwis Diya, 2014 .

A Two-Stage Joint Model for Nonlinear Longitudinal Response and a Time-to-Event with Application in Transplantation Studies

Dimitris Rizopoulos, Emmanuel Lesaffre, Magdalena Murawska, 2012 .

Assessing and Improving Convergence of the Markov Chain

Andrew B. Lawson, Emmanuel Lesaffre, A. Lawson, 2012 .

Generalized linear mixed model with a penalized Gaussian mixture as a random effects distribution

Emmanuel Lesaffre, Arnost Komárek, E. Lesaffre, 2008, Comput. Stat. Data Anal..

Flexible multivariate nonlinear models for bioequivalence problems

Cibele M. Russo, Emmanuel Lesaffre, Dorival Leão, 2017 .

GWAS on your notebook: fast semi-parallel linear and logistic regression for genome-wide association studies

Paul H. C. Eilers, Patrick J. F. Groenen, Emmanuel Lesaffre, 2013, BMC Bioinformatics.

The Linear Mixed Model. A Critical Investigation in the Context of Longitudinal Data.

Geert Verbeke, Emmanuel Lesaffre, G. Verbeke, 1997 .

Modes of Statistical Inference

Andrew B. Lawson, Emmanuel Lesaffre, 2012 .

Assessing the predictive ability of a multilevel binary regression model

Emmanuel Lesaffre, Robin Van Oirbeek, E. Lesaffre, 2012, Comput. Stat. Data Anal..

A web-based support system of the Belgian Register for Assisted Procreation

Adelin Albert, Emmanuel Lesaffre, Kris Bogaerts, 2015 .

Conditional independence of multivariate binary data with an application in caries research

Emmanuel Lesaffre, María José García-Zattera, Alejandro Jara, 2007, Comput. Stat. Data Anal..

Modified power prior with multiple historical trials for binary endpoints

Emmanuel Lesaffre, Joost van Rosmalen, David Dejardin, 2018, Statistics in medicine.

A Review of Statistical Approaches for the Analysis of Data in Rheumatology

Emmanuel Lesaffre, Jolanda J. Luime, E. Lesaffre, 2014 .

Fast linear mixed model computations for genome‐wide association studies with longitudinal data

Albert Hofman, Emmanuel Lesaffre, Paul H C Eilers, 2013, Statistics in medicine.

Markov Chain Monte Carlo Sampling

Andrew B. Lawson, Emmanuel Lesaffre, A. Lawson, 2012 .

The regression analysis of correlated interval-censored data

Arnošt Komárek, Emmanuel Lesaffre, E. Lesaffre, 2009 .

Use of a historical control group in a noninferiority trial assessing a new antibacterial treatment: A case study and discussion of practical implementation aspects

Emmanuel Lesaffre, Joost van Rosmalen, Paul Delmar, 2018, Pharmaceutical statistics.

Fast Mixed Models for GWAS with Longitudinal Data

Paul H. C. Eilers, Patrick J. F. Groenen, Emmanuel Lesaffre, 2013 .

Modeling agreement on categorical scales in the presence of random scorers.

Emmanuel Lesaffre, Sophie Vanbelle, E. Lesaffre, 2015, Biostatistics.

31st Annual Conference of the International Society for Clinical Biostatistics. Preface.

Emmanuel Lesaffre, Thomas Gerds, 2012, Statistics in medicine.

Joint hierarchical generalized linear models with multivariate Gaussian random effects

Maengseok Noh, Youngjo Lee, Emmanuel Lesaffre, 2013, Comput. Stat. Data Anal..

Normality tests and transformations

Emmanuel Lesaffre, E. Lesaffre, 1983, Pattern Recognit. Lett..

Introduction to Bayesian Inference

Andrew B. Lawson, Emmanuel Lesaffre, A. Lawson, 2012 .

Hierarchical modeling of agreement

Emmanuel Lesaffre, Timothy Mutsvari, Dominique Declerck, 2012, Statistics in medicine.

Identifying the source of food-borne disease outbreaks: An application of Bayesian variable selection

Michael Höhle, Emmanuel Lesaffre, Rianne Jacobs, 2017, Statistical methods in medical research.

A comparison of group sequential methods for binary longitudinal data

Geert Verbeke, Emmanuel Lesaffre, Bart Spiessens, 2003, Statistics in medicine.

A Bayesian approach for misclassified ordinal response data

Carlos J. Pérez, Lizbeth Naranjo, Emmanuel Lesaffre, 2019, Journal of Applied Statistics.

A sensitivity analysis for informative dropout: a local influence approach

Geert Verbeke, Michael G. Kenward, Herbert Thijs, 1998 .

Disease mapping models: an empirical evaluation

Fabio Divino, Andrew B. Lawson, Annibale Biggeri, 2000 .

Genome-wide Analysis of Large-scale Longitudinal Outcomes using Penalization —GALLOP algorithm

Emmanuel Lesaffre, Fernando Rivadeneira, Karolina Sikorska, 2018, Scientific Reports.

Oral health research: A source for innovative new statistical developments

Emmanuel Lesaffre, Dominique Declerck, E. Lesaffre, 2014 .

Logistic random effects regression models: a comparison of statistical packages for binary and ordinal outcomes

Ewout W Steyerberg, Emmanuel Lesaffre, Hester F. Lingsma, 2011, BMC medical research methodology.

Bayesian Biostatistics: Lesaffre/Bayesian Biostatistics

Andrew B. Lawson, Emmanuel Lesaffre, A. Lawson, 2012 .

Asymptotic variance estimation for the misclassification SIMEX

Helmut Küchenhoff, Emmanuel Lesaffre, Wolfgang Lederer, 2007, Comput. Stat. Data Anal..

Estimating Disease Prevalence in a Bayesian Framework Using Probabilistic Constraints

Emmanuel Lesaffre, Niko Speybroeck, Nicolas Praet, 2006, Epidemiology.

The Practical Use of Different Strategies to Handle Dropout in Longitudinal Studies

Geert Verbeke, Emmanuel Lesaffre, Bart Spiessens, 2001 .

Bayesian Hierarchical Modelling of Longitudinal Visual Fields to Quantify Glaucoma Progression

Paul H. C. Eilers, Hans G. Lemij, Koenraad A. Vermeer, 2013 .

Hurdle models for multilevel zero‐inflated data via h‐likelihood

Emmanuel Lesaffre, Marek Molas, E. Lesaffre, 2010, Statistics in medicine.

Bayesian model selection for multilevel mediation models

Geert Verbeke, Emmanuel Lesaffre, Oludare Ariyo, 2021, Statistica Neerlandica.

Motor and Functional Recovery After Stroke: A Comparison of 4 European Rehabilitation Centers

Koen Putman, Emmanuel Lesaffre, Mark Leys, 2007, Stroke.

Increasing nurse staffing levels in Belgian cardiac surgery centres: a cost-effective patient safety intervention?

Steven Simoens, Walter Sermeus, Emmanuel Lesaffre, 2010, Journal of advanced nursing.

On the effect of the number of quadrature points in a logistic random effects model: an example

Emmanuel Lesaffre, Bart Spiessens, E. Lesaffre, 2001 .

GWAS with longitudinal phenotypes: performance of approximate procedures

Emmanuel Lesaffre, Fernando Rivadeneira, Karolina Sikorska, 2015, European Journal of Human Genetics.

A New, Fast Algorithm to Find the Regions of Possible Support for Bivariate Interval-Censored Data

Emmanuel Lesaffre, Kris Bogaerts, 2004 .

Estimating local and global measures of association for bivariate interval censored data with a smooth estimate of the density

Emmanuel Lesaffre, Kris Bogaerts, E. Lesaffre, 2008, Statistics in medicine.

Latent‐variable models for longitudinal data with bivariate ordinal outcomes

Emmanuel Lesaffre, David Todem, KyungMann Kim, 2007, Statistics in medicine.

Organization of Hospital Nursing, Provision of Nursing Care, and Patient Experiences With Care in Europe

Walter Sermeus, Emmanuel Lesaffre, Linda H. Aiken, 2015, Medical care research and review : MCRR.

Marginalized multilevel models and likelihood inference - Comments & Rejoinder

Sl Zeger, Emmanuel Lesaffre, Bart Spiessens, 2000 .

A Bayesian analysis of multivariate doubly-interval-censored dental data.

Emmanuel Lesaffre, Tommi Härkänen, Arnost Komárek, 2005, Biostatistics.

An overview of group sequential methods in longitudinal clinical trials

Geert Verbeke, Emmanuel Lesaffre, David L. DeMets, 2000 .

Longitudinal profiles of bounded outcome scores as predictors for disease activity in rheumatoid arthritis patients: a joint modeling approach

Emmanuel Lesaffre, Marek Molas, Siti Haslinda Mohd Din, 2014 .

A general framework for comparative Bayesian meta-analysis of diagnostic studies

Emmanuel Lesaffre, E. Lesaffre, J. Menten, 2015, BMC Medical Research Methodology.

NON-LINEAR INTEGRAL EQUATIONS TO APPROXIMATE BIVARIATE DENSITIES WITH GIVEN MARGINALS AND DEPENDENCE FUNCTION

Geert Molenberghs, Emmanuel Lesaffre, 1997 .

Discussion of Diggle, P. and Kenward, M. G.: 'Informative drop-out in longitudinal data analysis'

Geert Molenberghs, Emmanuel Lesaffre, 1994 .

The Effect of Drop‐Out on the Efficiency of Longitudinal Experiments

Geert Verbeke, Emmanuel Lesaffre, G. Verbeke, 1999 .

Hierarchical Generalized Linear Models: The R Package HGLMMM

Emmanuel Lesaffre, Marek Molas, E. Lesaffre, 2011 .

Levels and correlates of implicit rationing of nursing care in Swiss acute care hospitals--a cross sectional study.

Emmanuel Lesaffre, Maria Schubert, Baoyue Li, 2013, International journal of nursing studies.

Computerized general practice based networks yield comparable performance with sentinel data in monitoring epidemiological time-course of influenza-like illness and acute respiratory illness

Bert Aertgeerts, Emmanuel Lesaffre, Bernard Brochier, 2010, BMC family practice.

Existence and Uniqueness of the Maximum Likelihood Estimator for a Multivariate Probit Model

Emmanuel Lesaffre, E. Lesaffre, H. Kaufmann, 1992 .

Examiner performance in calibration exercises compared with field conditions when scoring caries experience

Emmanuel Lesaffre, Timothy Mutsvari, Dominique Declerck, 2011, Clinical Oral Investigations.

Bayesian Accelerated Failure Time Model With Multivariate Doubly Interval-Censored Data and Flexible Distributional Assumptions

Arnošt Komárek, Emmanuel Lesaffre, E. Lesaffre, 2008 .

The logistic transform for bounded outcome scores.

Dimitris Rizopoulos, Emmanuel Lesaffre, Roula Tsonaka, 2007, Biostatistics.

A Bayesian ordinal logistic regression model to correct for interobserver measurement error in a geographical oral health study

Emmanuel Lesaffre, Dominique Declerck, E. Lesaffre, 2005 .

Robustifying Generalized Linear Mixed Models Using a New Class of Mixtures of Multivariate Polya Trees

Emmanuel Lesaffre, Alejandro Jara, E. Lesaffre, 2009 .

The zero-inflated negative binomial regression model with correction for misclassification: an example in caries research

Emmanuel Lesaffre, Samuel M Mwalili, Dominique Declerck, 2008, Statistical methods in medical research.

BAYESIAN ACCELERATED FAILURE TIME MODEL FOR CORRELATED INTERVAL-CENSORED DATA WITH A NORMAL MIXTURE AS ERROR DISTRIBUTION

Emmanuel Lesaffre, Arnoÿst Komarek, E. Lesaffre, 2007 .

Bayesian semi-parametric accelerated failure time model for paired doubly interval-censored data

Arnošt Komárek, Emmanuel Lesaffre, E. Lesaffre, 2006 .

Conditional Linear Mixed Models

Geert Verbeke, Emmanuel Lesaffre, Bart Spiessens, 2001 .

Screening for prostate cancer by using random‐effects models

Geert Verbeke, Emmanuel Lesaffre, Christopher H. Morrell, 2003 .

Clinical Trials and Intervention Studies

Geert Verbeke, Emmanuel Lesaffre, 2005 .

Collinearity in generalized linear regression

Emmanuel Lesaffre, Brian D. Marx, E. Lesaffre, 1993 .

Assessing the goodness-of-fit of the laird and ware model : An example : The jimma infant survival differential longitudinal study

Geert Verbeke, Emmanuel Lesaffre, Makonnen Asefa, 1999 .

An introduction to mixed models and joint modeling: analysis of valve function over time.

Eleni-Rosalina Andrinopoulou, Dimitris Rizopoulos, Emmanuel Lesaffre, 2012, The Annals of thoracic surgery.

Incorporating grouping information in bayesian variable selection with applications in genomics

Veronika Rockova, Emmanuel Lesaffre, E. Lesaffre, 2014 .

Bayesian Semiparametric Accelerated Failure Time Model for Paired Doubly-Interval-Censored Data

Arnošt Komárek, Emmanuel Lesaffre, .

Influence analysis to assess sensitivity of the dropout process

Geert Molenberghs, Geert Verbeke, Michael G. Kenward, 2001 .

A multivariate multilevel Gaussian model with a mixed effects structure in the mean and covariance part

Emmanuel Lesaffre, Baoyue Li, E. Lesaffre, 2014, Statistics in medicine.

Malignant melanoma: to screen or not to screen? An evaluation of the Euromelanoma Day in Belgium.

Bert Aertgeerts, Emmanuel Lesaffre, Carla Truyers, 2010, European journal of dermatology : EJD.

Multiple group logistic discrimination

Emmanuel Lesaffre, E. Lesaffre, A. Albert, 1986 .

Does the organization of care processes affect outcomes in patients undergoing total joint replacement?

Johan Bellemans, Kris Vanhaecht, Walter Sermeus, 2010, Journal of evaluation in clinical practice.

Bayesian semiparametric inference for multivariate doubly-interval-censored data

Maria De Iorio, Emmanuel Lesaffre, Fernando Quintana, 2010, 1101.1415.

Mastitis in diary cattle: local influence to assess sensitivity of the dropout process

Geert Molenberghs, Geert Verbeke, Michael G. Kenward, 2001 .

Incident somatic comorbidity after psychosis: results from a retrospective cohort study based on Flemish general practice data

Bert Aertgeerts, Jan De Lepeleire, Emmanuel Lesaffre, 2011, BMC family practice.

Partial Separation in Logistic Discrimination

Emmanuel Lesaffre, E. Lesaffre, A. Albert, 1989 .

Joint modeling of two longitudinal outcomes and competing risk data

Eleni-Rosalina Andrinopoulou, Dimitris Rizopoulos, Emmanuel Lesaffre, 2014, Statistics in medicine.

Flexible modelling of the covariance matrix in a linear random effects model

Geert Verbeke, Michael G. Kenward, Emmanuel Lesaffre, 2000 .

A Semi‐Parametric Shared Parameter Model to Handle Nonmonotone Nonignorable Missingness

Geert Verbeke, Emmanuel Lesaffre, Roula Tsonaka, 2009, Biometrics.

Models for the association between ordinal variables

Geert Molenberghs, Emmanuel Lesaffre, G. Molenberghs, 1998 .

Hierarchical Bayesian formulations for selecting variables in regression models

Veronika Rockova, Emmanuel Lesaffre, Bob Löwenberg, 2012, Statistics in medicine.

Nurse staffing and education and hospital mortality in nine European countries: a retrospective observational study

Marianna Diomidous, Matthew D. McHugh, Walter Sermeus, 2014, The Lancet.

Estimation of error rate in multiple group logistic discrimination. the approximate leaving-one-out method

Emmanuel Lesaffre, Aurélie Albert, Jl Willems, 1989 .

Nurse staffing and patient outcomes in Belgian acute hospitals: cross-sectional analysis of administrative data.

Walter Sermeus, Emmanuel Lesaffre, Luwis Diya, 2009, International journal of nursing studies.

Measuring the intensity of nursing care: making use of the Belgian Nursing Minimum Data Set.

Walter Sermeus, Emmanuel Lesaffre, Luwis Diya, 2008, International journal of nursing studies.

Fully exponential Laplace approximations for the joint modelling of survival and longitudinal data

Geert Verbeke, Dimitris Rizopoulos, Emmanuel Lesaffre, 2009 .

An overview of methods for interval-censored data with an emphasis on applications in dentistry

Arnošt Komárek, Emmanuel Lesaffre, Dominique Declerck, 2005, Statistical methods in medical research.

Bayes and diagnostic testing.

Emmanuel Lesaffre, Niko Speybroeck, Dirk Berkvens, 2007, Veterinary parasitology.

Bayesian latent class models with conditionally dependent diagnostic tests: A case study

Emmanuel Lesaffre, Marleen Boelaert, E. Lesaffre, 2008, Statistics in medicine.

Joint modeling of progression‐free survival and death in advanced cancer clinical trials

Geert Verbeke, Emmanuel Lesaffre, G. Verbeke, 2010, Statistics in medicine.

A Two‐Part Joint Model for the Analysis of Survival and Longitudinal Binary Data with Excess Zeros

Geert Verbeke, Dimitris Rizopoulos, Emmanuel Lesaffre, 2008, Biometrics.

Group Sequential Methods for an Ordinal Logistic Random‐Effects Model Under Misspecification

Geert Verbeke, Emmanuel Lesaffre, Bart Spiessens, 2002, Biometrics.

Modeling of Multivariate Monotone Disease Processes in the Presence of Misclassification

Emmanuel Lesaffre, María José García-Zattera, Alejandro Jara, 2012 .

A comparison of methods for estimating the random effects distribution of a linear mixed model

Geert Verbeke, Emmanuel Lesaffre, G. Verbeke, 2010, Statistical methods in medical research.