Wang MIAO
Scholar

Wang MIAO

Google Scholar ID: NGZAs8kAAAAJ
Assistant Professor at Peking University
StatisticsCausal inferenceMissing dataObservational studiesEpidemiological methods
Citations & Impact
All-time
Citations
2,182
 
H-index
23
 
i10-index
26
 
Publications
20
 
Co-authors
5
list available
Contact
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published numerous academic papers including 'Identifiability of normal and normal mixture models with nonignorable missing data' (2016, Journal of the American Statistical Association) and 'On varieties of doubly robust estimators under missingness not at random with a shadow variable' (2016, Biometrika); involved in several research works that have been awarded or are under review.
Research Experience
  • Taught courses such as Advanced Theory of Statistics, Probability and Statistics, Data analysis and graphics with R, and Statistical culture and practice; supervised multiple PhD and Master students in their research projects.
Background
  • Associate Professor in the Department of Probability and Statistics, School of Mathematical Sciences and Center for Statistical Science at Peking University. His main research interests include causal inference, missing data analysis, semiparametric inference and doubly robust estimation, big data and artificial intelligence, as well as applications of statistics in economic, political, epidemiological, and biomedical studies.