Hiroko H. Dodge, Ph.D.

  • Professor of Neurology, School of Medicine


Hiroko Dodge has over 20 years of experience working as a biostatistician in the dementia research field. In addition to her statistical expertise, her research interests cover a wide range of areas, including behavioral intervention against cognitive decline, epidemiology of dementia and cross cultural comparisons on healthy aging. Her current NIH funded R01 projects examine whether social interactions through modern communication technologies (e.g., internet and webcams) could improve cognitive functions among socially isolated seniors, recruiting participants from Meals on Wheels programs. The current project is called I-CONECT (Internet-based Conversational Engagement Clinical Trial). She also has been actively conducting research in Japan: she has a research cohort of healthy seniors in Okinawa, Japan, who have been followed since 2007.  This cohort has been providing opportunities for researchers to examine factors associated with healthy cognitive aging.  

She is the founding chair of a Professional Interest Area (PIA) entitled "Clinical Trials Advancements and Outcomes" in the International Society to Advance Alzheimer's Research (ISTAART, an international AD research organization sponsored by the Alzheimer's Association). This PIA creates an international researchers' forum where innovative clinical trial approaches, developments of outcomes sensitive to trial effects, and unique non-pharmacological trials are being introduced and discussed. She holds Fellow status at the Gerontological Society of America and serves as statistical and senior editors for multiple dementia journals.

Hiroko Dodge’s research passion includes applied statistical analyses. She utilized various statistical modelings for dementia research including: Markov models to assess duration spent in each disability status among AD subjects, factor analyses to group nutrient markers associated with healthy cognitive aging, a sequential regression multiple imputation (SRMI) approach to impute missing autopsy data, latent trajectory and change point models to assess longitudinal outcomes. Below highlights unique statistical approaches and papers which utilized the approach.

- Increment-decrement life table methods (Makov Models): View the publication and accompanying graphs

- SRMI (sequential regression multiple imputation): We expect that those who came to autopsy (brain donation at death) and those who did not differ in their characteristics.  Does using autopsy data obtained only from the former pose bias on the association between autopsy findings and AD risk?  We used SRMI for imputing missing autopsy data when calculating population attributable risk % of vascular factors on clinical AD. View the publication and accompanying graphs.

- Sample size calculation using highly frequently monitored data: Highly frequently assessed in-home monitored data allow us to calculate person-specific distributions of outcomes within a short interval of data accumulation.  Can using this information reduce sample size needed for clinical trials? View the publication and accompanying graphs.

- Multinominal logit models: We examined characteristics associated with levels of willingness to participate in clinical trials. View this and this publication and accompanying graphs.

- Various applications of mixed effects models: The paper aimed to separate practice effects from age associated cognitive declines. View the publication and accompanying graphs.

- Harmonization of cognitive test scores: We harmonized different verbal memory test scores, employing the equipercentile equating method with log linear smoothing. This process was necessary to assess cohort effects using two cohort studies. View the publications and accompanying graphs.

- Latent trajectory analyses. View the publications and accompanying graphs.

- Application of IRT. View the publications and accompanying graphs.

- Change point models. View the publications and accompanying graphs.


Selected Active Projects (out of 14 active NIH-funded projects, updated on 7/2017)

- NIH/NIA R01AG056102: Web-enabled social interaction to delay cognitive decline among seniors with MCI: Phase I.  PI: HirokoDodge (07/2017-08/2022).

- NIH/NIA R01AG051628: Conversational Engagements as a Means to Delay AD Onset: Phase II.  PI: Hiroko Dodge (09/2016-08/2021).

- Japan Grants-in-aid for Scientific Research. 14202-06-8102. The identification of risk factors of stroke and dementia in the community: the Takashima Follow-up study. PI: Hiroko Dodge (04/2016 – 03/2019)

- NIH/NIA U2CAG054397: ORCATECH Collaborative Aging (in Place) Research Using Technology (CART) PI: Jeffrey Kaye, Data Core Director: Hiroko Dodge (09/2016-08/2020).

- NIH/NIA P30 AG008017: Oregon Alzheimer's Disease Center  PI: Jeffrey Kaye, Data Core Director: Hiroko Dodge (04/2015-03/2020).

- NIH/NIA P30 AG053760: Michigan Alzheimer's Disease Core Center PI: Henry Paulson, Data Core Director: Hiroko Dodge (08/2016-06/2021)


Selected Completed Projects

- NIH/NIA R01 AG033581: Conversational engagement as a means to delay Alzheimer's Disease onset: a randomized controlled trial. PI: Hiroko Dodge (07/2010-06/2014)


  • Ph.D., 1992, Pennsylvania State University
  • Ph.D., 1992, Pennsylvania State University

Areas of interest

  • Preventions against cognitive decline and dementia (pharmacological and behavioral)
  • Early detections of Alzheimer’s Disease/ Normal cognitive aging
  • Longitudinal data analysis
  • Epidemiology of dementia and mild cognitive impairment
  • Cross national comparisons on factors associated with healthy cognitive aging
  • Application of demographic methods to clinical research
  • Social Epidemiology


Selected publications

  • Dodge HH, Zhu J, Mattek NC, Austin D, Kornfeld J, Kaye JA: Use of High-Frequency In-Home Monitoring Data May Reduce Sample Sizes Needed in Clinical Trials. PLoS One 10(9): e0138095, 2015. PM26379170/PMC4574479
  • Dodge HH, Zhu J, Mattek N, Bowman M, Ybarra O, Wild K, Loewenstein DA, Kaye JA: Web-enabled Conversational Interactions as a Means to Improve Cognitive Functions: Results of a 6-Week Randomized Controlled Trial. Alzheimers & Dementia : Translational Research and Clinical Interventions 1(1): 1-12, 2015. PM26203461/PMC4507295
  • Dodge HH, Zhu J, Lee CW, Chang CC, Ganguli M: Cohort effects in age-associated cognitive trajectories J. Gerontol. A Biol. Sci. Med. Sci. 69(6): 687-694, 2014. PM24270062/PMC4022091
  • Dodge HH, Katsumata Y, Zhu J, Mattek N, Bowman M, Gregor M, Wild K, Kaye JA: Characteristics associated with willingness to participate in a randomized controlled behavioral clinical trial using home-based personal computers and a webcam. Trials 15: 508, 2014. PM25539637/PMC4307639
  • Dodge HH, Zhu J, Harvey D, Saito N, Silbert LC, Kaye JA, Koeppe RA, Albin RL, Alzheimer's Disease Neuroimaging Initiative: Biomarker progressions explain higher variability in stage-specific cognitive decline than baseline values in Alzheimer disease. Alzheimer's & dementia : the journal of the Alzheimer's Association 10(6): 690-703, 2014. PM25022534/PMC4253728
  • Dodge HH, Wang CN, Chang CC, Ganguli M: Terminal decline and practice effects in older adults without dementia: the MoVIES project. Neurology 77(8): 722-30, 2011. PM21832224/PMC3164394
  • Dodge HH, Katsumata Y, Todoriki H, Yasura S, Willcox DC, Bowman GL, Willcox B, Leonard S, Clemons A, Oken BS, Kaye JA, Traber MG: Comparisons of plasma/serum micronutrients between Okinawan and Oregonian elders: a pilot study. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 65(10): 1060-7, 2010. PM20643702/PMC3031451
  • Dodge HH, Meguro K, Ishii H, Yamaguchi S, Saxton JA, Ganguli M: Cross-cultural comparisons of the Mini-mental State Examination between Japanese and U.S. cohorts. International Psychogeriatrics 21(1): 113-22, 2009. PM18925977/PMC2639652
  • Dodge HH, Zitzelberger T, Oken BS, Howieson D, Kaye J: A randomized placebo-controlled trial of Ginkgo biloba for the prevention of cognitive decline. Neurology 70(19 Pt 2): 1809-17, 2008. PM18305231/PMC2639649
  • Dodge HH, Shen C, Pandav R, DeKosky ST, Ganguli M: Functional transitions and active life expectancy associated with Alzheimer disease. Archives of Neurology 60(2): 253-9, 2003. PM12580712


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