Maria Glymour, ScD, MS

Maria Glymour, ScD
ScD, Harvard University, School of Public Health
Associate Professor, Department of Epidemiology & Biostatistics, UCSF
Phone: (415) 514-8014
Fax: (415) 514-8150
Email: mglymour@epi.ucsf.edu

UCSF Profiles

Research Interests:

In May 2013, I was recruited to UCSF to lead the University’s new PhD program in Epidemiology and Translational Science. My training and earlier career were spent at the Harvard School of Public Health, where I established myself as an exceptional mentor (winning the School’s mentorship award in 2012) and a leader in innovative quantitative methods to support causal inferences from observational data. My research focuses on healthy aging, and particularly time-varying lifecourse determinants of stroke and dementia (Alzheimer’s, vascular, and mixed etiologies) risk in late life. To this goal, I draw on both design and data innovations, in particular applying instrumental variables (IV), difference-in-difference, and multilevel models to novel data linkages to evaluate causal hypotheses. My work has emphasized the new insights that can be gained by linking data from multiple levels and sources, e.g., administrative records on social and health policy with individual level records on health outcomes. Much of my work evaluates social determinants of health and health disparities, topics in which attention to causal inference challenges is critical.I have published extensively on adult health, health disparities, and causal inference in observational research. I have a strong research track record, with both federal and foundation funding, and over 130 peer-reviewed publications, invited editorials or commentaries, and several substantive and methodological book chapters.

I have also established a successful mentoring track record. I am currently co-PI of the UCSF T32 in Training in Translational Research on Aging and Chronic Diseases (awarded this year). I have served as primary mentor, secondary mentor, or committee member for 21 masters students, 22 pre-doctoral trainees, and 10 post-doctoral fellows. My mentees have flourished both while working directly with me and afterwards, developing strong publication records, presenting research at professional conferences, and establishing successful track records of independent or mentored funding. These trainees have gone on to prestigious independent research positions at US and Canadian universities. I thus have a strong perspective on how to ensure junior researchers launch successful research careers.

Professional Honors and Awards:

  • 2012 Harvard School of Public Health Mentoring Award
  • 2013 Columbia University Psychiatric-Neurological Epidemiology Early Investigator Award, Columbia University, Mailman School of Public Health

Selected Publications:

  1. Glymour MM. Natural experiments and instrumental variables analyses in social epidemiology. In Methods in Social Epidemiology, Oakes M, and Kaufman J, eds. Jossey-Bass (Book chapter, 2006).
  2. Glymour MM, Kawachi I, Jencks C, and Berkman LF. Does childhood schooling affect old age memory and cognitive function? Using state schooling laws as natural experiments. Journal of Epidemiology and Community Health 2008; 62: 532-537.
  3. Glymour MM, Tchetgen EJ, Robins JM. Credible Mendelian randomization studies: approaches for evaluating the instrumental variable assumptions. American Journal of Epidemiology. 2012 Feb 15; 175(4):332-9. PMID: 22247045 PMCID:PMC3366596
  4. Walter S^, Mukherjee S^, Kauwe J, Saykin AJ, Bennett DA, Larson E, Crane PK*, Glymour MM*. Genetically predicted Body Mass Index and Alzheimer's Disease related phenotypes in three large samples: Mendelian Randomization analyses. Alzheimer’s and Dementia. 2015, forthcoming. (^joint first authors; *joint senior authors)
  5. Glymour MM. and Greenland S. Causal diagrams. In Modern Epidemiology, 3rdedition, Rothman KJ, Greenland S, and Lash T, eds.Lippincott-Raven (Book chapter, 2008).
  6. Weuve J, Tchetgen Tchetgen EJ, Glymour MM, Beck TL, Aggarwal NT, Wilson RS, Evans DA, Mendes de Leon CF. Accounting for bias due to selective attrition: the example of smoking and cognitive decline. Epidemiology. 2012 Jan; 23(1):119-28 (PMC3758858).
  7. Liu SY, Walter S, Marden J, Rehkopf DH, Kubzansky LL, Nguyen T, Glymour MM. Genetic vulnerability to diabetes and obesity: does education offset the risk? Social Science and Medicine. 2015 Feb;127:150-8.
  8. Glymour MM, Nguyen Q, Matsouaka R, Tchetgen Tchetgen EJ, Schmidt NM, Osypuk TL. Does Mother Know Best? Treatment Adherence as a Function of Anticipated Treatment Benefit. Epidemiology. 2015. In press.
  9. Glymour MM, Weuve J, Berkman LF, Kawachi I, Robins JM. When is baseline adjustment useful in analyses of change? An example with education and cognitive change. Am J Epidemiol. 2005 Aug 1; 162(3):267-78. PMID: 15987729
  10. Glymour MM, Kawachi I, Jencks C, and Berkman LF. Does childhood schooling affect old age memory and cognitive function? Using state schooling laws as natural experiments. Journal of Epidemiology and Community Health 2008; 62: 532-537. PMCID: PMC2796854
  11. Glymour MM, Weuve J, and Chen J. Methodological challenges in causal research on racial and ethnic patterns of cognitive trajectories: measurement, selection, and bias. Neuropsychology Reviews 2008; 3: 194-213. PMCID: PMC3640811
  12. Glymour MM, Chêne G, Tzourio C, Dufouil C. Brain MRI markers and dropout in a longitudinal study of cognitive aging: the Three-City Dijon Study. Neurology. 2012 Sep 25; 79(13):1340-8. PMID: 22972647 PMCID:PMC3448743
  13. Glymour MM, and Manly JJ. Lifecourse social conditions and racial and ethnic patterns of cognitive aging. Neuropsychology Reviews 2008; 3: 223-254.Zahodne LB, Glymour MM, Sparks C, Bontempo D, Dixon RA, MacDonald SW, Manly JJ. Education does not slow cognitive decline with aging: 12-year evidence from the Victoria Longitudinal Study. Journal of the International Neuropsychological Society 2011; 17:1039-1046. (PMC3285821).
  14. Glymour MM, Tzourio C, Dufouil C. Is Cognitive Aging predicted by own or parents' education? The 3-City Study. American Journal of Epidemiology 2012; 175:750-759 (PMCID: PMC3448743)
  15. Marden JR, Walter S, Tchetgen Tchetgen EJ, Kawachi I, Glymour MM. Validation of a polygenic genetic risk score for dementia in black and white individuals. Brain Behav. 2014 Sep;4(5):687- 97. PMID: 25328845 (PMC4107377).
  16. Glymour MM, Avendaño M, and Berkman LF. Is the Stroke Belt worn from childhood? Risk of first stroke and place of residence in childhood and adulthood. Stroke 2007; 38: 2415-2421.
  17. Avendano M, Glymour MM. Stroke disparities in older Americans: is wealth a more powerful indicator of risk than income and education? Stroke. 2008 May; 39(5):1533-40. PMID: 18436891 PMCID:PMC3079499.
  18. Glymour MM, Avendano MP, Haas S, and Berkman LF. Lifecourse social conditions and racial disparities in incidence of first stroke. Annals of Epidemiology 2008; 18:904-912.
  19. Glymour MM, Kosheleva A, and Boden-Albala B. Birth and adult residence in the Stroke Belt independently predict stroke mortality. Neurology 2009; 73: 1858-1865.