Lifeflexi·Oct 29Micro-Randomized Trials for JITAI Clinical ResearchClinical Trial Design * Digital Health Methods * October 29, 2026
Lifeflexi·Oct 27Principal Stratification for Clinical Trial EstimandsPrincipal stratification defines latent subgroups by participants’ joint potential outcomes for a post-randomization variable. It can…
Lifeflexi·Oct 26Flexible Parametric Survival Models: Royston-ParmarFlexible parametric survival models, especially the Royston-Parmar model, use restricted cubic splines to model the baseline survival…
Lifeflexi·Oct 20Bayesian Additive Regression Trees in Clinical ResearchBayesian Additive Regression Trees (BART) combine many regularized shallow trees to estimate nonlinear relationships and interactions while…
Stella Koo·Oct 13[Biostatistics Series #18] Randomized Experiments: Why Randomization Allows Us to Talk About…In the previous article, we introduced potential outcomes as a way to define causal effects. For each individual, we can imagine two…
Stella Koo·Sep 29[Biostatistics Series #17] Potential Outcomes and Counterfactuals: The Foundation of Causal…In the previous article, I introduced the distinction between association and causation.
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…
Adewumi Hassan·Sep 24ROC CURVES, AUC AND CLINICAL DIAGNOSTICSTo everyone who knows a thing or two about regression models, concepts like ROC curves and Area under the curve (AUC) aren’t so unfamiliar…A response icon1A response icon1
Yuya Tamai, MD, PhD·Sep 20Patient-Centered Trials in Practice: PRO-CTCAE, CSR Analytics, and FDA GuidanceImplementation, Tolerability Assessment, CSR Outputs, and Trial Design under FDA Guidance 4
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…
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