Experimental Designs
Group Design
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs
Comparing the Survival Analysis of Two or More Groups
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model
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A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
Published on: December 10, 2012
Prathiba Natesan Batley1, Tom Minka2, Larry Vernon Hedges3
1University of North Texas, 1155 Union Circle #311335, Denton, TX, 76203, USA. pnbatley@gmail.com.
This study introduces a new variational Bayesian (VB) method to quantify treatment effect immediacy in single-case experimental designs (SCEDs). The VB approach accurately identifies phase changes, outperforming previous methods for robust evidence in SCED research.
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