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Is it adjusting for baseline covariates in clinical trial analyses like fishing for statistically significant results? #r #rstats #clinicalresearch #statistics
https://www.r-bloggers.com/2025/01/thinking-about-covariates-in-an-analysis-of-an-rct/
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Five analysis strategies for the MNAR data in Electronic Health Record (#EHR)-Based Comparative Effectiveness Research, and assumptions that analysts are required to make and the estimator that is to be employed. #stat #statistics #data
https://onlinelibrary.wiley.com/doi/full/10.1002/sim.10298
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Updates to Big Book of #R. #rstats #statistics https://www.r-bloggers.com/2024/12/7-new-books-added-to-big-book-of-r-7-12-2024/
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Decision curve analysis (DCA) combines classical assessment of predictive performance with the consequences of using these strategies for clinical decision-making. #Bayesian DCA allows for an intuitive probabilistic interpretation framework, while incorporating prior evidence. #rstats #statistics
https://onlinelibrary.wiley.com/doi/full/10.1002/sim.10277
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In Drear Nighted December by John Keats. A wintry vision of the separation of two lovers https://www.theguardian.com/books/2024/dec/02/poem-of-the-week-in-drear-nighted-december-by-john-keats
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And: "Baking priors" https://win-vector.com/2015/10/13/baking-priors/ #statistics #stats #bayesian
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To read (without getting into the “Bayesian versus Frequentist” war): "Bayesian and Frequentist Approaches: Ask the Right Question" https://win-vector.com/2013/05/06/bayesian-and-frequentist-approaches-ask-the-right-question/ #statistics #stats #bayesian
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Interesting reading about standard meta-analysis and Bayesian methods to reproduce similar results: here [https://rworks.dev/posts/meta-analysis/] and here [https://github.com/WinVector/Examples/blob/main/MetaAnalysis/Amlodipine/ExaminingMetaAnalysis.md] #R #rstats #statistics #metaanalysis
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Sentiment analysis to detect the emotional tone of natural language in #R #rstats #rbloggers
https://www.r-bloggers.com/2024/10/sentiment-analysis-in-r-4/
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