University Lecturer in Statistics.
Research Interest: Causal Inference, Methodology for Large-Scale Problems, Applications in Genetics, Epidemiology, and Social Sciences.
Publications
Sample-constrained partial identification with application to selection bias
– Biometrika
(2022)
(DOI: 10.1093/biomet/asac042)
Toward Better Practice of Covariate Adjustment in Analyzing Randomized Clinical Trials
– Journal of the American Statistical Association
(2022)
1
Mendelian randomization
– Nature Reviews Methods Primers
(2022)
2,
6
(DOI: 10.1038/s43586-021-00092-5)
Profile-likelihood Bayesian model averaging for two-sample summary data Mendelian randomization in the presence of horizontal pleiotropy.
– Stat Med
(2022)
41,
1100
(DOI: 10.1002/sim.9320)
Selective inference for effect modification via the lasso
– Journal of the Royal Statistical Society Series B (Statistical Methodology)
(2021)
84,
382
(DOI: 10.1111/rssb.12483)
A Note on Posttreatment Selection in Studying Racial Discrimination in Policing
– American Political Science Review
(2021)
116,
337
(DOI: 10.1017/s0003055421000654)
Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments
– PLoS Genet
(2021)
17,
e1009575
(DOI: 10.1371/journal.pgen.1009575)
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.
– Genetic epidemiology
(2021)
45,
338
(DOI: 10.1002/gepi.22376)
Bets: The dangers of selection bias in early analyses of the coronavirus disease (covid-19) pandemic
– Annals of Applied Statistics
(2021)
15,
363
(DOI: 10.1214/20-AOAS1401)
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