Fan Yang’s primary research focus is causal inference. She develops statistical methods to analyze experiments and observational studies that are motivated by real life problems, such as missing data in observational studies, censoring by death, the validity of instrumental variables, mediation, ...
Fan Yang’s primary research focus is causal inference. She develops statistical methods to analyze experiments and observational studies that are motivated by real life problems, such as missing data in observational studies, censoring by death, the validity of instrumental variables, mediation, etc. Her ongoing methodological research includes: (1) sharpening the inference on treatment effect on long term outcomes censored by death, (2) estimating the causal hazard ratio in observational studies using instrumental variable method, and (3) gene mediation analysis.