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Faculty Member

Aya Mitani PhD, MPH

Email Address(es)
Office Phone
(416) 946-3250
Office Address
Dalla Lana School of Public Health Health Sciences Building 155 College Street, 6th Floor Toronto, ON M5T 3M7
Personal website
Biostatistics Division
Assistant Professor
SGS Status
Associate Member
Appointment Status
Tenure Stream
Currently Accepting Doctoral Students?

Education and training

  • Postdoctoral research fellow, Harvard School of Public Health
  • PhD, Biostatistics, Boston University School of Public Health
  • MPH, Biostatistics, Yale School of Public Health
  • BA, Mathematics, Pitzer College

Research interests

  • Modelling complex oral health data
  • Missing data methods
  • Outcome-dependent sampling design
  • Agreement and association


  • CHL5260H: Doctoral Seminar Series in Biostatistics (Fall 2020, 2021, 2022 & Winter 2021, 2022, 2023)
  • CHL5222H: Analysis of Correlated Data (Winter 2021, 2022, 2023)
  • CHL7001: Introduction to Joint Modeling in Health Research (Summer 2022)

Recent publications

  • Mitani AA, Kaye EK, Nelson KP. Accounting for tooth-loss using inverse probability censoring weights in longitudinal clustered data with informative cluster size. Accepted to Annals of Applied Statistics.
  • Mitani AA, Mercaldo ND, Haneuse S, Schildcrout JS. Survey design and analysis considerations when utilizing misclassified sampling strata. BMC Medical Research Methodology. 2021; 21(145).
  • Mitani AA, Kaye EK, Nelson KP. Marginal analysis of multiple outcomes with informative cluster size. Biometrics. 2021; 77, 271–282.
  • Mitani AA, Haneuse S. Small data challenges of studying rare diseases. Invited Commentary. JAMA Network Open. 2020; 3(3).
  • Mitani AA, Kaye EK, Nelson KP. Marginal analysis of ordinal clustered longitudinal data with informative cluster size. Biometrics. 2019; 73(3), 938– 949.
  • Nelson KP, Mitani AA, Edwards D. Evaluating the effects of rater and subject factors on measures of association. Biomedical Journal. 2018; 60, 639–656.
  • Mitani AA, Nelson KP. Modeling Agreement between Binary Classifications of Multiple Raters in R and SAS. Journal of Modern Applied Statistical Methods. 2017; 15.
  • Mitani AA, Freer PE, Nelson KP. Summary measures of agreement and association between many raters’ ordinal classifications. Annals of Epidemiology. 2017; 27(10).
  • Nelson KP, Mitani AA, Edwards D. Assessing the influence of rater and subject characteristics on measures of agreement for ordinal ratings. Statistics in Medicine. 2017; 36(20), 3181–3199.
  • Mitani AA, Kurian AW, Das AK, Desai M. Navigating choices when applying multiple imputation in the presence of multi-level categorical interaction effects. Statistical Methodology. 2015; 27.

Personal website