Frank received his Ph.D. in measurement, evaluation and statistical analysis from the School of Education at the University of Chicago in 1993. His substantive interests include the diffusion of innovations through social networks, schools as organizations, social networks of students and teachers and school decision-making, and social capital.
His methodological work on sensitivity analysis is published in Education, Evaluation and Policy Analysis; Journal of Clinical Epidemiology; Journal of Educational and Behavioral Statistics; Psychological Methods; Sociological Methodology; Sociological Methods and Research; and Network Science.
Frank’s work is widely cited across the social and natural sciences (e.g., Proceedings of the National Academy of Sciences, Administrative Science Quarterly, Academy of Management, American Sociological Review, Journal of the Royal Statistical Society).
You can visit his university webpage here.
You can visit his personal webpage here.
You can visit his blog here.
Two Key Techniques for Quantifying the Robustness of Causal Inferences
Thursday, February 29 –
Friday, March 1, 2024
This course provides widely accessible ways, such as correlations or cases, to quantify the sensitivity of an inference.View Details
Sensitivity Analysis for Causal Inference
The phrase “But have you controlled for …” is fundamental to social science, but can also create a quandary. Even after controlling for the most likely alternative explanations for an inferred effect, there may be some alternative explanation(s) that cannot...View Details