Publications
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Below, please find information on publications by members of MELODEM.
Publications
Hayes-Larson E, Ackley SF, Zimmerman SC, et al. The competing risk of death and selective survival cannot fully explain the inverse cancer-dementia association. Alzheimers Dement. 2020;10.1002/alz.12168.
Heterogeneous long-term trajectories of dependency in the elderly : The PAQUID cohort, a 22-year population-based study. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences. 2020; 75(12) 2396-2403.
Edjolo A, Dartigues JF, Pérès K, et al. Heterogeneous Long-Term Trajectories of Dependency in Older Adults: The PAQUID Cohort, a Population-Based Study over 22 years, The Journals of Gerontology: Series A. 2020;75(12), 2396–2403.
Wagner, M., Grodstein, F., Proust-Lima, C., & Samieri, C.. Long-Term Trajectories of Body Weight, Diet, and Physical Activity From Midlife Through Late Life and Subsequent Cognitive Decline in Women. American Journal of Epidemiology. 2020;189(4), 305‑313.
Proust-Lima, C., Philipps, V., Dartigues, J.-F. et al. Are latent variable models preferable to composite score approaches when assessing risk factors of change? Evaluation of type-I error and statistical power in longitudinal cognitive studies. Statistical Methods in Medical Research. 2019;28(7):1942-1957.
Proust-Lima C, Philipps V, Dartigues J-F. A joint model for multiple dynamic processes and clinical endpoints: Application to Alzheimer’s disease. Stat Med. 2019;38(23):4702-4717.
Taddé BO, Jacqmin-Gadda H, Dartigues J-F, Commenges D, Proust-Lima C. Dynamic modelling of Multivariate Dimensions and Their Temporal Relationships using Latent Processes: Application to Alzheimer’s Disease. Biometrics. 2019;76: 886– 899.
Wagner M, Grodstein F, Proust-Lima C, Samieri C. Long-Term Trajectories of Body Weight, Diet, and Physical Activity From Midlife Through Late Life and Subsequent Cognitive Decline in Women. Am J Epidemiol. 2020;189(4):305-313.
Proust-Lima, C., Philipps, V., & Dartigues, J.-F. (2019). A joint model for multiple dynamic processes and clinical endpoints : Application to Alzheimer’s disease. Statistics in Medicine. 2019;38(23), 4702‑4717.
Dufouil C, Beiser A, Chene G, Seshadri S. Are Trends in Dementia Incidence Associated With Compression in Morbidity? Evidence From The Framingham Heart Study. The journals of gerontology. Series B, Psychological sciences and social sciences. 2018;73(suppl_1):S65-s72.
Dufouil C, Glymour MM. Prediction to prevention in Alzheimer’s disease and dementia. The Lancet. Neurology. 2018;17(5):388-389.
Mayeda ER, Filshtein TJ, Tripodis Y, Glymour MM, Gross AL. Does selective survival before study enrollment attenuate estimated effects of education on the rate of cognitive decline in older adults? A simulation approach for quantifying survival bias in life course epidemiology. Int J Epidemiol. 2018;47(5):1507-1517.
Gross AL., Chu N., Anderson L., et al. Coalition Against Major Diseases, Do people with Alzheimer’s disease improve with repeated testing? Unpacking the role of content and context in retest effects. Age and Ageing. 2018:47(6):866-871.
Glymour MM, Brickman AM, Kivimaki M, et al. Will biomarker-based diagnosis of Alzheimer’s disease maximize scientific progress? Evaluating proposed diagnostic criteria. European Journal of Epidemiology. 2018;33:607-612.
Mayeda ER, Banack HR, Bibbins-Domingo K, et al. Can Survival Bias Explain the Age Attenuation of Racial Inequalities in Stroke Incidence? Epidemiology. 2018;29(4):525-532.
Gross AL, Payne BR, Casanova R, et al. The ACTIVE conceptual framework as a structural equation model. Measurement in Physical Education and Exercise Science. 2018; 24(2):103-114.
Wagner M, Dartigues J-F, Samieri C, Proust-Lima C. Modeling Risk-Factor Trajectories When Measurement Tools Change Sequentially During Follow-up in Cohort Studies: Application to Dietary Habits in Prodromal Dementia. Am J Epidemiol. 2018;187(4):845 54.
Wagner M, Helmer C, Tzourio C, et al. Evaluation of the Concurrent Trajectories of Cardiometabolic Risk Factors in the 14 Years Before Dementia. JAMA Psychiatry. 2018;75(10):1033-1042.
Wagner, M., Dartigues, J.-F., Samieri, C., & Proust-Lima, C. Modeling Risk-Factor Trajectories When Measurement Tools Change Sequentially During Follow-up in Cohort Studies : Application to Dietary Habits in Prodromal Dementia. American Journal of Epidemiology. 2018;187(4):845‑854.
Gilsanz P, Karter AJ, Beeri MS, Quesenberry CP, Jr., Whitmer RA. The Bidirectional Association Between Depression and Severe Hypoglycemic and Hyperglycemic Events in Type 1 Diabetes. Diabetes care. 2018;41(3):446-452.
Glymour MM, Brickman AM, Kivimaki M, et al. Will biomarker-based diagnosis of Alzheimer’s disease maximize scientific progress? Evaluating proposed diagnostic criteria. European journal of epidemiology. 2018;33(7):607-612.
Gross AL, Chu N, Anderson L, Glymour MM, Jones RN. Do people with Alzheimer’s disease improve with repeated testing? Unpacking the role of content and context in retest effects. Age and ageing. 2018;47(6):866-871.
Rooney JPK, Brayne C, Tobin K. et al. Benefits, pitfalls, and future design of population-based registers in neurodegenerative disease. Neurology. 2017;88(24):2321-2329.
Mayeda ER, Tchetgen Tchetgen EJ, Power MC, et al. A Simulation Platform for Quantifying Survival Bias: An Application to Research on Determinants of Cognitive Decline. American journal of epidemiology. 2016;184(5):378-387.
Vivot A, Power MC, Glymour MM, et al. Jump, Hop, or Skip: Modeling Practice Effects in Studies of Determinants of Cognitive Change in Older Adults. American journal of epidemiology. 2016;183(4):302-314.
Weuve J, Proust-Lima C, Power MC, et al. Guidelines for reporting methodological challenges and evaluating potential bias in dementia research. Alzheimer’s & dementia : the journal of the Alzheimer’s Association. 2015;11(9):1098-1109.