University Lecturer in Statistics.
Research Interest: Causal Inference, Methodology for Large-Scale Problems, Applications in Genetics, Epidemiology, and Social Sciences.
Publications
A Mendelian randomization study of the role of lipoprotein subfractions in coronary artery disease.
– eLife
(2021)
10,
e58361
(DOI: 10.7554/eLife.58361)
Mendelian randomisation with coarsened exposures
– Genet Epidemiol
(2021)
45,
338
(DOI: 10.1002/gepi.22376)
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)
Causal Relationship and Shared Genetic Loci between Psoriasis and Type 2 Diabetes through Trans-Disease Meta-Analysis
– The Journal of investigative dermatology
(2020)
(DOI: 10.1016/j.jid.2020.11.025)
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
– Annals of Statistics
(2020)
48,
1742
(DOI: 10.1214/19-AOS1866)
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 and Economic Statistics
(2019)
2019,
272
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