Optimization of experimental designs for biological rhythm discovery. [PDF]
PLoS Computational BiologyEqually spaced temporal sampling is the standard protocol for the study of biological rhythms. These equispaced designs perform well when calibrated to an oscillator's period, yet can introduce systematic biases when applied to rhythms of unknown ...
Turner Silverthorne +3 more
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Multi-Objective Optimal Experimental Designs for ER-fMRI Using MATLAB [PDF]
Journal of Statistical Software, 2009 Designs for event-related functional magnetic resonance imaging (ER-fMRI) that helpto eciently achieve the statistical goals while taking into account the psychological con-straints and customized requirements are in great demand.
Ming-Hung Kao
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Statistical Design of Experiments: An introductory case study for polymer composites manufacturing applications [PDF]
MATEC Web of Conferences, 2021 Statistical design of experiments (DoE) aims to develop a near efficient design while minimising the number of experiments required. This is an optimal approach especially when there is a need to investigate multiple variables.
Botha Natasha +3 more
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Probabilistic geotechnical designs in rural road infrastructure in Costa Rica [PDF]
MATEC Web of Conferences, 2021 Rural road infrastructure normally lacks information to perform rigorous geotechnical designs, due especially, to budgeting restrictions. Three different transportation projects in rural areas in Costa Rica are presented, where a probabilistic approach ...
Baltodano-Goulding Rafael
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An overview of the BOIN design and its current extensions for novel early-phase oncology trials
Contemporary Clinical Trials Communications, 2022 Bayesian Optimal Interval (BOIN) designs are a class of model-assisted dose-finding designs that can be used in oncology trials to determine the maximum tolerated dose (MTD) of a study drug based on safety or the optimal biological dose (OBD) based on ...
Revathi Ananthakrishnan +5 more
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Empirical Statistical Power for Testing Multilocus Genotypic Effects under Unbalanced Designs Using a Gibbs Sampler [PDF]
Asian-Australasian Journal of Animal Sciences, 2012 Epistasis that may explain a large portion of the phenotypic variation for complex economic traits of animals has been ignored in many genetic association studies.
Chaeyoung Lee
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Reducing the patients-at-risk (PaR) in a response-adaptive trial: A numerical study
IIMB Management Review, 2023 This article investigates the dichotomy between higher statistical power and higher allocation to better treatment in an ethical-optimal response-adaptive design.
L. Ramprasath, Mohammed Shahid Abdulla
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D-Optimal Designs for Binary and Weighted Linear Regression Models: One Design Variable
Mathematics, 2023 D-optimality is a well-known concept in experimental design that seeks to select an optimal set of design points to estimate the unknown parameters of a statistical model with a minimum variance.
Necla Gündüz, Bernard Torsney
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The performance of control charts with economic-statistical design when parameters are estimated [PDF]
Review of Economics and Political Science, 2021 Purpose – This paper presents economic and economic–statistical designs of the adaptive exponentially weighted moving average (AEWMA) control chart for monitoring the process mean. It also aims to compare the effect of estimated process parameters on the
Mahmoud Alsaid +2 more
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Approximately optimal subset selection for statistical design and modelling [PDF]
Journal of Statistical Computation and Simulation, 2021 We study the problem of optimal subset selection from a set of correlated random variables. In particular, we consider the associated combinatorial optimization problem of maximizing the determinant of a symmetric positive definite matrix that characterizes the chosen subset. This problem arises in many domains, such as experimental designs, regression
Yu Wang, Nhu D. Le, James V. Zidek
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