Eric Clower·2d agoAre You Confident Your Optimization Is Really the Maximum?How GAUSS 27’s Kernel Procs Made Convergence Checking Affordable
Kingnmg·Sep 25Ordinal Logistic Regression in Clinical ResearchOrdinal logistic regression models ordered categories such as none, mild, moderate, and severe without treating the gaps between categories…
Lifeflexi·Sep 17Bayesian Model Averaging in Clinical ResearchBayesian model averaging (BMA) manages model-selection uncertainty by combining inference across plausible models instead of treating one…
Tarani·Aug 29The 3 Pillars for Credible Statistical Analysis: Integrity, Rigor, and Actionable Insights"It is easy to lie with statistics, but it is hard to tell the truth without them." — Charles Wheelan, Naked Statistics: Stripping the…
HUEI JYUN DEBBY YEH·Aug 24Rethinking Trajectory Drift: From Model Assumptions to Multivariate StructureThis is another update on my machine learning journey.
HUEI JYUN DEBBY YEH·Aug 17Rethinking Trajectory Drift: From Statistical Modeling to Model AssumptionsThis is another update on my machine learning journey.
HUEI JYUN DEBBY YEH·Aug 10Rethinking Trajectory Drift: From Data Distribution to Statistical ModelingThis is another update on my machine learning journey.
Howard Wong·Jul 31Small Area Estimation: Why It Matters and How It WorksHow statistical agencies produce more stable local estimates when survey samples are too small
