University Lecturer in Statistics.
Research Interest: Causal Inference, Methodology for Large-Scale Problems, Applications in Genetics, Epidemiology, and Social Sciences.
Publications
Statistical Modeling: Returning to its Roots
– Observational Studies
(2021)
7,
229
(doi: 10.1353/obs.2021.0014)
ivmodel: An R Package for Inference and Sensitivity Analysis of Instrumental Variables Models with One Endogenous Variable
– Observational Studies
(2021)
7,
1
(doi: 10.1353/obs.2021.0029)
Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences.
– Nature communications
(2020)
11,
6377
(doi: 10.1038/s41467-020-20142-y)
Letter to the editor: Generation interval for COVID-19 based on symptom onset data.
– Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin
(2020)
25,
2001381
Statistical inference in two-sample summary-data Mendelian randomization
using robust adjusted profile score
– The Annals of Statistics
(2020)
48,
1742
(doi: 10.1214/19-AOS1866)
A Latent Mixture Model for Heterogeneous Causal Mechanisms in Mendelian Randomization
(2020)
Selecting and Ranking Individualized Treatment Rules With Unmeasured Confounding
– Journal of the American Statistical Association
(2020)
116,
295
Powerful three-sample genome-wide design and robust statistical inference in summary-data Mendelian randomization
– International Journal of Epidemiology
(2019)
48,
1478
(doi: 10.1093/ije/dyz142)
Causal Interpretations of Black-Box Models
– Journal of business & economic statistics : a publication of the American Statistical Association
(2019)
2019,
272
Sensitivity Analysis for Inverse Probability Weighting Estimators via the Percentile Bootstrap
– Journal of the Royal Statistical Society Series B Statistical Methodology
(2019)
81,
735
(doi: 10.1111/rssb.12327)
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