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hbiostat.org
| | deepai.org
4.5 parsecs away

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| | Bayesian inference refers to the application of Bayes' Theorem in determining the updated probability of a hypothesis given new information.
| | aurimas.eu
3.8 parsecs away

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| | fharrell.com
1.4 parsecs away

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| | The majority of clinicals trials that are successfully launched end with equivocal results, with confidence intervals that are too wide to allow drawing a conclusion other than "the money was spent". This is due to constraints of fixed budgeting models, gaming MCIDs in sample size calculations, using low-information outcome variables, pretending that the computed sample size is estimated without error, avoiding sequential designs, and other reasons. There are also major opportunities lost for stopping studies earlier for futility. These problems may be avoided by instilling discipline in the choice of MCID and the choice of outcome, and using flexible Bayesian fully sequential designs without limiting the number of data looks. To understand why this works it...
| | educationechochamber.wordpress.com
17.7 parsecs away

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| Do our pupils need support for bolster their writing development? In my last blog, I posed the question about whether there was a hidden problem with the damage wrought by the pandemic on pupils who have joined secondary school. The evidence of a dip in national date at both Key Stage 2 and Key Stage...