The Statistical and Applied Mathematical Sciences Institute
Causal Inference Opening Workshop - Latent Variable Models, Causal Inference, and Sensitivity - Alex D'Amour, December 9, 2019
2019 Fall Series: Special Guest Lecture - 0-1 Phase Transitions in High Dimensional Inference and Learning - Jean Barbier, December 3, 2019
Causal Inference Opening Workshop - Causal Discovery in Neuroimaging Data - Frederick Eberhardt, December 11, 2019
Causal Inference Opening Workshop - Smooth Extensions to BART for Heterogeneous Treatment Effect Estimation, with Applications to Women's Healthcare Practice and Policy - Jennifer Starling, December 9, 2019
Causal Inference Opening Workshop - A Bracketing Relationship between Difference-in-Differences and Lagged-Dependent-Variable Adjustment - Peng Ding, December 11, 2019
Causal Inference Opening Workshop - Testing Weak Nulls in Matched Observational Studies - Colin Fogarty, December 11, 2019
Causal Inference Opening Workshop - Difference-in-differences: more than meets the eye - Laura Hatfield, December 11, 2019
Causal Inference Opening Workshop - New Statistical Learning Methods for Estimating the Optimal Dynamic Treatment Regime - Lu Wang, December 10, 2019
Causal Inference Opening Workshop - Bipartite Causal Inference with Interference for Evaluating Air Pollution Regulations - Corwin Zigler, December 10, 2019
Causal Inference Opening Workshop - Bridging the Gap Between Causal Literature and Medical Research - Laine Thomas, December 10, 2019
Causal Inference Opening Workshop - Some Applications of Reinforcement Learning in Precision Medicine - Michael Kosorok, December 10, 2019
Causal Inference Opening Workshop - Assisting the Impact of State Polcies: Brdiging the Gap Between Theory & Practice - Beth Ann Griffin, December 10, 2019
Causal Inference Opening Workshop - Bracketing Bounds for Differences-in-Differences Methods - Luke Keele, December 10, 2019
No infographics yet
2019 Fall Series: Professional Development, Writing Academic Papers…What Works? What Doesn’t Work? - Alan Karr, October 16, 2019
PMED Undergraduate Workshop - R Tutorial for PMED Undegraduate Workshop - Xinyi Li, October 22, 2018
2018 MUMS Fall Course - Problem Set 1 (Attachment for Class Presentation) - Jim Berger, September 11, 2018
NCCU: Statistics in the Criminal Justice System, R basics and Simulation - Presented by Yawen Guan, Mar 24, 2018
CLIM Undergraduate Workshop: (Attachment) Performing Extreme Value Analysis (EVA) Using R - Whitney Huang, Oct 23, 2017
No likes yet
Personal Information
Organization / Workplace
The Statistical and Applied Mathematical Sciences InstituteLocation
Durham, North Carolina United StatesIndustry
Education
Website
www.samsi.infoAbout
The Statistical and Applied Mathematical Sciences Institute (SAMSI), was established in 2002. SAMSI is a partnership of Duke University, North Carolina State University (NCSU), and the University of North Carolina at Chapel Hill (UNC). SAMSI is part of the Mathematical Sciences Institutes program of the Division of Mathematical Sciences at the National Science Foundation. SAMSI is housed in the Research Triangle Park, North Carolina. Mission SAMSI’s mission is to forge a synthesis of the statistical sciences and the applied mathematical sciences with disciplinary science to confront the very hardest and most important data- and model-driven scientific challenges.