Major lipids, apolipoproteins, and risk of vascular disease, JAMA, vol.302, issue.18, pp.1993-2000, 2009. ,
Multiple imputation for nonresponse in surveys, 1987. ,
Multiple imputation and its application: statistics in practice, 2013. ,
Missing values in longitudinal dietary data: a multiple imputation approach based on a fully conditional specification, StatMed, vol.28, issue.29, pp.3657-69, 2009. ,
Evaluation of two-fold fully conditional specification multiple imputation for longitudinal electronic health record data, Stat.Med, vol.33, issue.21, pp.3725-3762, 2014. ,
Review of inverse probability weighting for dealing with missing data, Stat Methods Med Res, vol.22, issue.3, pp.278-95, 2013. ,
Application of random-effects pattern-mixture models for missing data in longitudinal studies, Psychol Methods, vol.2, issue.1, pp.64-78, 1997. ,
On the performance of random-coefficient patternmixture models for non-ignorable drop-out, Stat Med, vol.22, pp.2553-75, 2003. ,
Sensitivity analysis for pattern mixture models, J Biopharm Stat, vol.14, issue.1, pp.125-168, 2004. ,
The treatment of missing data in a large cardiovascular clinical outcomes study, Clin Trials, vol.13, issue.3, pp.344-51, 2016. ,
The design of simulation studies in medical statistics, Stat Med, vol.25, issue.24, pp.4279-92, 2006. ,
Cohort profile: the Whitehall II study, Int J Epidemiol, vol.34, pp.251-257, 2005. ,
Impact of smoking on cognitive decline in early old age, Arch Gen Psychiatry, vol.69, issue.6, pp.627-662, 2012. ,
URL : https://hal.archives-ouvertes.fr/inserm-00677216
Statistical analysis with missing data, 2002. ,
Fully conditional specification in multivariate imputation, J Stat Comput Simul, vol.76, issue.12, pp.1049-64, 2006. ,
Multiple imputation: current perspectives, Stat Methods Med Res, vol.16, issue.3, pp.199-218, 2007. ,
Multiple imputation for missing data: fully conditional specification versus multivariate normal imputation, Am J Epidemiol, vol.171, issue.5, pp.624-656, 2010. ,
Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables, Computat Stat Data Anal, vol.54, issue.10, pp.2267-75, 2010. ,
Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls, BMJ, vol.338, p.2393, 2009. ,
In guide to using the Mill Hill vocabulary test with progressive matrices, 1965. ,
4 group test of general intelligence, 1970. ,
Word fluency and brain damage, Neuropsychologica, vol.5, issue.2, pp.135-175, 1967. ,
Relation of nsaids to incident ad, change in cognitive function, and ad pathology, Neurology, vol.70, issue.23, pp.2219-2244, 2008. ,
Neurodegenerative basis of agerelated cognitive decline, Neurology, vol.75, issue.12, pp.1070-1078, 2010. ,
A comparison of inclusive and restrictive strategies in modern missing data procedures, Psychol Methods, vol.6, issue.4, pp.330-51, 2001. ,
Application of multiple imputation using the two-fold fully conditional specification algorithm in longitudinal clinical data, Stata J, vol.14, issue.2, pp.418-449, 2014. ,
Bias and efficiency of multiple imputation compared with complete-case analysis for missing covariate values, Stat Med, vol.29, issue.28, pp.2920-2951, 2010. ,
Regression with missing ys: an improved strategy for analyzing multiply imputed data, Sociol Methodol, vol.29, pp.83-117, 2007. ,
Bias and precision of the "multiple imputation, then deletion" method for dealing with missing outcome data, Am J Epidemiol, vol.182, issue.6, pp.528-562, 2015. ,
Multiple imputation using chained equations: issues and guidance for practice, Stat Med, vol.30, issue.4, pp.377-99, 2011. ,
Correction of bias from non-random missing longitudinal data using auxiliary information, Statist Med, vol.29, pp.671-680, 2010. ,
Multiple imputation of cognitive performance as a repeatedly measured outcome, Eur J Epidemiol, vol.32, issue.1, pp.55-66, 2017. ,
Pattern mixture models incorporating reasons for dropout, Biometrics section: Proceedings of the Survey Research Methods Section, 2008. ,
Predictors of two forms of attrition in a longitudinal health study involving ageing participants: an analysis based on the Whitehall II study, BMC Med Res Methodol, vol.12, p.164, 2012. ,
Using multiple imputation to deal with missing data and attrition in longitudinal studies with repeated measures of patient-reported outcomes, Clin Epidemiol, vol.7, pp.91-106, 2015. ,
Missing data in longitudinal surveys: a comparison of performance of modern techniques, J Modern Appl Stat Methods, vol.16, issue.2, pp.378-402, 2017. ,
Multiple imputation of missing covariate values in multilevel models with random slopes: a cautionary note, Behav Res Methods, vol.48, pp.640-649, 2016. ,
Multiple imputation under bayesianly smoothed patternmixture models for non-ignorable drop-out, Statist Med, vol.24, pp.2345-63, 2005. ,
Bias in longitudinal data analysis with missing data using typical linear mixed-effects modelling and pattern-mixture approach: an analytical illustration, Br J Math Stat Psychol, vol.68, pp.246-67, 2015. ,
Detection of outliers due to participants' non-adherence to protocol in a longitudinal. Study of cognitive decline, PLoS One, vol.10, issue.7, p.132110, 2015. ,
, Panel on Handling Missing Data in Clinical Trials. Committee on. National Statistics, Social sciences, and education. The prevention and treatment of missing data in clinical trials, 2010.