University Lecturer in Statistics.
Research Interest: Causal Inference, Methodology for Large-Scale Problems, Applications in Genetics, Epidemiology, and Social Sciences.
Publications
Mendelian randomisation with coarsened exposures
– Genetic Epidemiology
(2021)
45,
338
(doi: 10.1002/gepi.22376)
Statistical Modeling: Returning to its Roots
– Observational Studies
(2021)
7,
229
(doi: 10.1353/obs.2021.0014)
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.
– Eurosurveillance
(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
– J Bus Econ Stat
(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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