There are data about practically everything these days, and they can be used to try to answer any number of questions. Do clinical trials really show a drug works? Can surveys really signal who’s ...
This webpage provides information about the research project “Methods for the Analysis of Longitudinal Dyadic Data, with Applications to Intergenerational Exchanges of Family Support”. The three-year ...
Missing data can plague researchers in many scenarios, arising from incomplete surveys, experimental objects broken or destroyed, or data collection/computational errors. This short course will ...
Interview on Ontada research presented at ISPOR 2024. Increased variety of real-world data (RWD) sources can give scientists a richer picture than ever of what’s happening to patients. But for every ...
Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 163, No. 3 (2000), pp. 381-402 (22 pages) Missing data can rarely be avoided in large scale studies in which subjects ...
Researchers from the National Institute of Health Data Science at Peking University and the Department of Clinical Epidemiology and Biostatistics at Peking University People's Hospital have conducted ...
I recently received the following question on data science methods from an avid reader of insideAI News who hails from Taiwan. I think the topics are very relevant to many folks in our audience so I ...
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