Langche Zeng's research interests center on quantitative
methods and their application in diverse subfields in political and
social science. Her work has appeared in leading journals across
disciplinary boundaries. She has also contributed several widely used
public domain statistical software packages. Specific methodological
topics explored in her work have included heterogeneity in discrete
choice models; modeling of censored and sample selected data; neural
networks for modeling relationships of unknown functional forms;
computational modeling; methods and models for analyzing rare events
data; methods for evaluating counterfactuals and improving causal
inference; and graphical methods and models for causal effect
identification and structural modeling. Substantive issues studied have
included properties of voting rules; strategic voting behavior;
congressional career decisions; international conflict and state
failure; public's emotional response to terrorist attacks; social
fragmentation and group relations; and medical statistics and public
health. Langche Zeng's research has been supported by the National
Science Foundation and has won the Gosnell Prize for the best work in
political methodology.