Results 21 to 30 of about 487,210 (299)
Statistical Design and Optimization of Sustained Release Formulations of Pravastatin
Turkish Journal of Pharmaceutical Sciences, 2020 The objective of the current study was to formulate a sustained release (SR) formulation for pravastatin. Pravastatin is a lipid lowering, biopharmaceutical classification class-III agent.SR tablets of pravastatin were prepared using variable amounts of hydroxy methyl propyl cellulose (HPMC) K4M and sodium carboxy methyl cellulose in various ...
Raghavendra Kumar GUNDA +1 more
openaire +2 more sources
Design Of Statistically Optimal Morphological Operators
, 2000 Publication in the conference proceedings of EUSIPCO, Tampere, Finland ...
Junior Barrera, Edward R. Dougherty
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Optimal Designs For the Restricted Maximum Likelihood Estimators in a Random Split-Plot Model
Lithuanian Journal of Statistics, 2017 The design effect for the restricted maximum likelihood estimators of variance components in acompletely randomized split-plot model is studied. The model was used to represent the response generated froman experimental scenario where the whole-plot and
Oluwole Nuga, G. N. Amahia, Fatai Salami
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A Statistical Framework for Optimal Design Matrix Generation With Application to fMRI [PDF]
IEEE Transactions on Medical Imaging, 2010 68 pages, 34 ...
Gautam V. Pendse +5 more
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Optimising trial designs to identify appropriate antibiotic treatment durations
BMC Medicine, 2019 Background For many infectious conditions, the optimal antibiotic course length remains unclear. The estimation of course length must consider the important trade-off between maximising short- and long-term efficacy and minimising antibiotic resistance ...
Koen B. Pouwels +6 more
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An Overview of Adaptive Designs and Some of Their Challenges, Benefits, and Innovative Applications
Journal of Medical Internet Research, 2023 Adaptive designs are increasingly developed and used to improve all phases of clinical trials and in biomedical studies in various ways to address different statistical issues.
Hongjian Zhu, Weng Kee Wong
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Maximin and Bayesian Optimal Designs for Regression Models [PDF]
, 2003 For many problems of statistical inference in regression modelling, the Fisher information matrix depends on certain nuisance parameters which are unknown and which enter the model nonlinearly.
Dette, Holger +2 more
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Zaštita Materijala, 2019 The present study compares the performances of the regression models developed by the response surface methodology combined with the full factorial, Box-Behnken or face central composite designs applied for the ultrasound-assisted KOH-catalyzed ...
Vlada B. Veljković +2 more
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Asymptotic optimal designs under long-range dependence error structure
, 2012 We discuss the optimal design problem in regression models with long-range dependence error structure. Asymptotic optimal designs are derived and it is demonstrated that these designs depend only indirectly on the correlation function.
Dette, Holger +3 more
core +1 more source
CaTchDes: MATLAB codes for Caratheodory–Tchakaloff Near-Optimal Regression Designs
SoftwareX, 2019 We provide a MATLAB package for the computation of near-optimal sampling sets and weights (designs) for nth degree polynomial regression on discretizations of planar, surface and solid domains.
Len Bos, Marco Vianello
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