Langche Zeng's research and teaching interests
center on quantitative methods and their applications in
diverse subfields in the political and social sciences. Her
work has appeared in American Political Science Review,
American Sociological Review, Political Analysis, Sociological
Methods and Research, World Politics, International Studies
Quarterly, International Organization, Statistics in Medicine,
Journal of Statistical Software, Public Choice, Journal of
Theoretical Politics, and elsewhere. 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. Zeng serves or has
served on the editorial boards of American Political
Science Review, International Studies Quarterly, and Political
Analysis. Her research has been supported by the
National Science Foundation and has won the Gosnell Prize for
the best work in political methodology.