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, ...
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 ...
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 ...
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 ...
"I read it as a joke!" one student chortled. "It definitely wasn't completely serious, was it?" another asked as she shook her head in disbelief. The intimate group of nine students—which includes a ...
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, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback