Publications
  1. Haomiao Jin, Sandy Chien, Erik Meijer, Pranali Khobragade, Jinkook Lee
    Learning From Clinical Consensus Diagnosis in India to Facilitate Automatic Classification of Dementia: Machine Learning Study
    Journal of Medical Internet Research: Mental Health, 2021, JMIR Ment Health 2021;8(5):e27113, DOI:10.2196/27113
  2. Ehrlich, J.R., T. Ndukwe, S. Chien, J. Lee.
    The association of cognitive and visual function among older adults in India
    Neuroepidemiology, 2021, DOI:10.1159/000513813
  3. Banerjee, J., U. Jain, P. Khobragade, A. Weerman, P. Hu, S. Chien, S. Dey, P. Chatterjee, J. Saxton, B. Keller, E. Crimmins, A. Toga, A. Jain, G.S. Shanthi, R. Kurup, A. Raman, S.S. Chakrabarti, M. Varghese, J.P. John, H. Joshi, P. Koul, D. Goswami, A. Talukdar, R. R. Mohanty, Y.Sathyanarayana, R. Yadati, M. Padmaja, L. Sankhe, S. Pedgaonkar, P. Arokiasamy, D.E. Bloom, K. Langa, J. Jovicich, A.B. Dey, J. Lee.
    Methodological considerations in designing and implementing the Harmonized Diagnostic Assessment of Dementia for Longitudinal Aging Study in India (LASI-DAD)
    Biodemography and Social Biology, NIHMS1568275.
  4. Kenny, R.A.
    New insights and knowledge on cognition and dementia from population-based cohort of older adults in India
    Journal of the American Geriatrics Society, 68:S1-S2, DOI:10.1111/jgs.16733.
  5. Lee, J., A.B. Dey.
    Introduction to LASI-DAD: The Longitudinal Aging Study in India-Diagnostic Assessment of Dementia
    Journal of the American Geriatrics Society, 68:S3-S4, DOI:10.1111/jgs.16740
  6. Lee, J., P.Y. Khobragade, J. Banerjee, M. Angrisani, P. Arokiasamy, D.E. Bloom, A.B. Dey.
    Design and methodology of the Longitudinal Aging Study in India – Diagnostic Assessment of Dementia, LASI-DAD
    Journal of the American Geriatrics Society, 68:S5-S10, DOI:10.1111/jgs.16737
  7. Gross, A., P.Y. Khobragade, E. Meijer, J.A. Saxton.
    Measurement and structure of cognition in the Longitudinal Aging Study in India – Diagnostic Assessment of Dementia (LASI-DAD)
    Journal of the American Geriatrics Society, 68:S11-S19, DOI:10.1111/jgs.16738
  8. Angrisani, M., U. Jain, J. Lee.
    Sex differences in cognitive health among older adults in India
    Journal of the American Geriatrics Society, 68:S20-S28, DOI:10.1111/jgs.16732
  9. Farron, M.R., M.U. Kabeto, A.B. Dey, J. Banerjee, D.A. Levine, K.M. Langa.
    Hypertension and cognitive function in older Indians: Findings from the LASI-DAD
    Journal of the American Geriatrics Society, 68:S29-S35, DOI:10.1111/jgs.16741
  10. Hu, P., J. Lee, S. Beaumaster, J.K. Kim, S. Dey, D. Weir, E.M. Crimmins.
    Cognitive function and cardio-metabolic-inflammatory risk factors among older Indians and Americans
    Journal of the American Geriatrics Society, 68:S36-S44, DOI:10.1111/jgs.16734
  11. Smith, J., W. Zhao, M. Yu, K.E. Rumfelt, P. Moorjani, A.B. Dey, J. Lee, S. Kardia.
    Association between Alzheimer’s Disease risk SNPs and episodic memory in South Asians from LASI-DAD
    Journal of the American Geriatrics Society, 68:S45-S53, DOI:10.1111/jgs.16735
  12. Lee, J., M. Ganguli, A. Weerman, S. Chien, D.Y. Lee, M. Varghese, A.B. Dey.
    Online clinical consensus diagnosis of dementia: Development and validation
    Journal of the American Geriatrics Society, 68:S54-S59, DOI:10.1111/jgs.16736
  13. Lee, J., J. Banerjee, P.Y. Khobragade, M. Angrisani, A.B. Dey.
    LASI-DAD study: a protocol for a prospective cohort study of late-life cognition and dementia in India.
    BMJ Open, 2019; 9: e030300. DOI:10.1136/bmjopen-2019-030300.