Results 11 to 20 of about 755,585 (280)

Exploring the Benefits of Adaptive Sequential Designs in Time-to-Event Endpoint Settings [PDF]

open access: yes, 2010
Sequential analysis is frequently employed to address ethical and financial issues in clinical trials. Sequential analysis may be performed using standard group sequential designs, or, more recently, with adaptive designs that use estimates of treatment ...
Emerson, Sarah C   +2 more
core   +2 more sources

GOST: A generic ordinal sequential trial design for a treatment trial in an emerging pandemic. [PDF]

open access: yesPLoS Neglected Tropical Diseases, 2017
BACKGROUND:Conducting clinical trials to assess experimental treatments for potentially pandemic infectious diseases is challenging. Since many outbreaks of infectious diseases last only six to eight weeks, there is a need for trial designs that can be ...
John Whitehead, Peter Horby
doaj   +1 more source

Statistical Quality Control: Acceptance Sampling Plans in the Light of Fuzzy Mathematics

open access: yesJournal of Statistical Theory and Applications (JSTA), 2023
Statistical quality control is a productivity enhancing and regulatory technique with three factors––Management, Methods and Mathematics. More precisely, if we want to properly design a self-regulating system for quality, we have to look to the field of ...
Surajit Bhattacharyya
doaj   +1 more source

A novel Bayesian adaptive design incorporating both primary and secondary endpoints for randomized IIB chemoprevention study of women at increased risk for breast cancer

open access: yesTrials, 2022
Background Our randomized controlled clinical trial will explore the potential of bazedoxifene plus conjugated estrogen to modulate breast tissue-based risk biomarkers as a surrogate for breast cancer risk reduction.
Byron J. Gajewski   +5 more
doaj   +1 more source

A Comprehensive Probabilistic Framework to Learn Air Data from Surface Pressure Measurements

open access: yesInternational Journal of Aerospace Engineering, 2015
Use of probabilistic techniques has been demonstrated to learn air data parameters from surface pressure measurements. Integration of numerical models with wind tunnel data and sequential experiment design of wind tunnel runs has been demonstrated in the
Ankur Srivastava, Andrew J. Meade
doaj   +1 more source

A Comparison of Ballistic Resistance Testing Techniques in the Department of Defense

open access: yesIEEE Access, 2014
Ballistic resistance testing is conducted in the Department of Defense (DoD) to estimate the probability that a projectile will perforate the armor of a system under test.
Thomas H. Johnson   +3 more
doaj   +1 more source

Improvement of lipase production from Geotrichum sp. in shaken flasks [PDF]

open access: yesChemical Industry and Chemical Engineering Quarterly, 2012
This work is focused on the study of different variables on inoculum build-up aiming to improve the lipase production by Geotrichum sp. by means a sequential strategy of experimental design.
Maldonadoa Resende Rafael   +5 more
doaj   +1 more source

Data Driven Surrogate Based Optimization in the Problem Solving Environment WBCSim [PDF]

open access: yes, 2009
Large scale, multidisciplinary, engineering designs are always difficult due to the complexity and dimensionality of these problems. Direct coupling between the analysis codes and the optimization routines can be prohibitively time consuming due to the ...
Deshpande, S.   +4 more
core   +3 more sources

Algorithm Design and Localization Analysis in Sequential and Statistical Learning

open access: yes, 2023
Learning theory is a dynamic and rapidly evolving field that aims to provide mathematical foundations for designing and understanding the behavior of algorithms and procedures that can learn from data automatically. At the heart of this field lies the interplay between algorithm design and statistical complexity analysis, with sharp statistical ...
openaire   +2 more sources

Statistically Efficient Bayesian Sequential Experiment Design via Reinforcement Learning with Cross-Entropy Estimators

open access: yes, 2023
Reinforcement learning can learn amortised design policies for designing sequences of experiments. However, current amortised methods rely on estimators of expected information gain (EIG) that require an exponential number of samples on the magnitude of the EIG to achieve an unbiased estimation.
Blau, Tom   +4 more
openaire   +2 more sources

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