University Lecturer in Statistics.
Research Interest: Causal Inference, Methodology for Large-Scale Problems, Applications in Genetics, Epidemiology, and Social Sciences.
Publications
Multiple conditional randomization tests for lagged and spillover
treatment effects
(2021)
Bets: The dangers of selection bias in early analyses of the coronavirus disease (covid-19) pandemic
– The Annals of Applied Statistics
(2021)
15,
363
(doi: 10.1214/20-AOAS1401)
Mendelian randomisation with coarsened exposures.
– Genetic epidemiology
(2021)
45,
338
(doi: 10.1002/gepi.22376)
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)
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.
– Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin
(2020)
25,
16
Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score
– Annals of Statistics
(2020)
48,
1742
(doi: 10.1214/19-aos1866)
A Latent Mixture Model for Heterogeneous Causal Mechanisms in Mendelian
Randomization
(2020)
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