Faculty Member
Aya Mitani
- Email Address(es)
- aya.mitani(at)utoronto.ca
- Website(s)
- Personal website
- Division(s)/Institute(s)
- Biostatistics Division
- Position
- Assistant Professor
- SGS Status
- Associate Member
- Appointment Status
- Tenure Stream
- Currently Accepting Doctoral Students?
- Yes
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 study design
- Agreement and association
Teaching
- CHL5260H: Doctoral Seminar Series in Biostatistics (Fall 2020, 2021 & Winter 2021, 2022)
- CHL5222H: Analysis of Correlated Data (Winter 2021, 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.