Results 241 to 250 of about 487,210 (299)

Beyond one-size-fits-all: Addressing patient heterogeneity through precision-based oxygen therapy research in critical care. [PDF]

J Intensive Med
Huang W, Lu L.
europepmc   +1 more source

Joint time-to-event partial order continual reassessment method and Joint time-to-event Bayesian logistic regression model: Statistical designs for dual agent phase I/II dose finding studies with late-onset toxicity and activity outcomes. [PDF]

Stat Methods Med Res
Barnett H, Boix O, Kontos D, Jaki T.
europepmc   +1 more source

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Statistical Inference for Approximate Bayesian Optimal Design

2020 Winter Simulation Conference (WSC), 2020
This paper studies a generic Bayesian optimal design formulation with chance constraints, where the decision variable lies in a separable, reflexive Banach space. This setting covers a gamut of simulation and modeling problems that we illustrate through two example problem formulations.
Prateek Jaiswal, Harsha Honnappa
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Optimal statistical design for toxicokinetic studies

Statistical Methods in Medical Research, 1997
Optimal statistical design strategies are applied to toxicokinetic experiments, for determining proper allocations of subjects and/or spacings of sampling times under a variety of nonlinear concentration-time models. The strategies include: (i) optimal allocations of subjects assuming the placement of time points is fixed, (ii) optimal spacing of ...
D A, Beatty, W W, Piegorsch
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Design of statistically optimal stack filters

XII Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00481), 2003
Any gray-scale image can be represented as a "stack" of a decreasing sequence of binary images, obtained by thresholding the gray-scale image at each level. Stack filters are a special class of gray-scale image operators whose filtered images can be represented as the stack of binary images resulting from applying an increasing binary operator for each
Nina S. T. Hirata, Junior Barrera, Edward R. Dougherty   +2 more
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A global optimization technique for statistical classifier design

IEEE Transactions on Signal Processing, 1996
A global optimization method is introduced that minimize the rate of misclassification. We first derive the theoretical basis for the method, on which we base the development of a novel design algorithm and demonstrate its effectiveness and superior performance in the design of practical classifiers for some of the most popular structures currently in ...
David J. Miller 0001, Ajit V. Rao, Kenneth Rose, Allen Gersho   +3 more
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Assay Optimization: A Statistical Design of Experiments Approach

JALA: Journal of the Association for Laboratory Automation, 2006
With the transition from manual to robotic HTS in the last several years, assay optimization has become a significant bottleneck. Recent advances in robotic liquid handling have made it feasible to reduce assay optimization timelines with the application of statistically designed experiments.
Maneesha, Altekar, Carol A, Homon, Mohammed A, Kashem, Steven W, Mason, Richard M, Nelson, Lori A, Patnaude, Jeffrey, Yingling, Paul B, Taylor   +7 more
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Statistical interconnect metrics for physical-design optimization

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2006
In this paper, statistical models for the efficient analysis of interconnect delay and crosstalk noise in the presence of back-end process variations are developed. The proposed models enable closed-form computation of means and variances of interconnect-delay, crosstalk-noise peak, and coupling-induced-delay change for given magnitudes of variation in
Kanak Agarwal 0001, Mridul Agarwal, Dennis Sylvester, David T. Blaauw   +3 more
openaire   +1 more source