Project 1 Empowering Causal Inference with Functional Data Analysis New Talent/CSC/EPSRC/Underrepresented/self-funded Project 2 Advanced Inference methods for High ...
Repeated measurements of the same countries, people, or groups over time are vital to many fields of political science. These measurements, sometimes called time-series cross-sectional (TSCS) data, ...
The majority of recent empirical papers in operations management (OM) employ observational data to investigate the causal effects of a treatment, such as program or policy adoption. However, as ...
In the article that accompanies this editorial, Lu et al 5 conducted a systematic review on the use of instrumental variable (IV) methods in oncology comparative effectiveness research. The main ...
We know that correlation does not imply causation, but careful analyses of correlations are often our only way to quantify cause and effect in domains ranging from healthcare to education. This ...
Post by Panayiota (Pani) Kendeou & Kristen McMaster, University of Minnesota Making Inferences: The Cornerstone of Reading Comprehension Despite the persistent efforts of researchers, policy makers, ...
Yılmaz, Övünç; Son, Yoonseock; Shang, Guangzhi; Arslan, Hayri A. Causal inference under selection on observables in operations management research: Matching methods and synthetic controls. Journal of ...
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