This is a graduate-level course on multilevel modeling, a popular statistical approach in social, behavioral, and health sciences research. Multilevel modeling, also known as hierarchical linear ...
Multilevel Statistical Modeling for Proteomic Experiments With Complex Designs and Isobaric Labeling
Quantitative mass spectrometry-based proteomic experiments are designed to answer increasingly complex questions. For example, we may want to characterize changes in protein abundance in biological ...
A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. (Related posts: 5 things to keep in mind when you hear about Gen Z, Millennials, ...
Multiple imputation is a popular method for addressing data that are presumed to be missing at random. To obtain accurate results, one's imputation model must be congenial to (appropriate for) one's ...
Student satisfaction has received growing attention in Higher Education systems in recent years, and are increasingly used for internal and external accountability in the sector. This does leave us ...
Role of pirfenidone in the primary prophylaxis of lung cancer in idiopathic pulmonary fibrosis patients: A systematic review and meta-analysis. This is an ASCO Meeting Abstract from the 2025 ASCO ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback