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
– Genet Epidemiol
(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
– 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
– Int J Epidemiol
(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)
39,
272
- <
- 3 of 5
