University Lecturer in Statistics.
Research Interest: Causal Inference, Methodology for Large-Scale Problems, Applications in Genetics, Epidemiology, and Social Sciences.
Publications
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,
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)
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
(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)
Two-Sample Instrumental Variable Analyses Using Heterogeneous Samples
– Statistical Science
(2019)
34,
317
(doi: 10.1214/18-STS692)
Falsification Tests for Instrumental Variable Designs With an Application to Tendency to Operate
– Medical care
(2019)
57,
167
(doi: 10.1097/MLR.0000000000001040)
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