Email Address: firstname.lastname@example.org
Other Research Theme Collaborations: PREM
I completed my PhD in Bordeaux (France) under the supervision of Hélène Jacqmin-Gadda, on the « Study of dementia and cognitive decline, accounting for selection by death ». My two main projects dealt with the development of statistical tools for joint modeling longitudinal data and time-to-dementia onset while accounting for interval censoring and the competing risk of death, and with the interpretation of existing methods used for handling missing longitudinal data when cohort attrition may be due to death. I joined the MRC BSU in February 2017 to work with Brian Tom and Sylvia Richardson on stratified medicine, to understand the different sources of heterogeneity in dementia. My current project is part of the DPUK project (http://www.dementiasplatform.uk). It aims at developing statistical algorithms to identify risk stratified subgroups and to incorporate and evaluate various types of biomarkers or combination of biomarkers that are associated with dementia onset or that are predictive of treatment response.
Selected PapersRouanet A, Helmer C, Dartigues JF, Jacqmin-Gadda H (2016)Joint Latent Class Model for Longitudinal Data and Interval-Censored Semi-Competing Events: Application to Dementia
Biometrics 72(4): 1123-1135
Rouanet A, Helmer C, Dartigues JF, Jacqmin-Gadda H (2017)Interpretation of mixed models and marginal models with cohort attrition due to death and drop-out
Statistical Methods in Medical Research in press:
Rouanet A (2016)Study of dementia and cognitive decline accounting for selection by death
PhD thesis :
Rouanet A, Richarson S, Tom B (2018)Benefit of Bayesian clustering of longitudinal data: study of cognitive decline for precision medicine.
Bayesian Methods in Pharmaceutical Research (eds: Lesaffre E, Baio G, and Boulanger B), Chapman & Hall/CRC Biostatistics Series : forthcoming, ISBN: 978-1-138-74848-4.