Results 21 to 30 of about 287,737 (288)

Improving statistical inference on pathogen densities estimated by quantitative molecular methods: malaria gametocytaemia as a case study [PDF]

, 2015
BACKGROUND: Quantitative molecular methods (QMMs) such as quantitative real-time polymerase chain reaction (q-PCR), reverse-transcriptase PCR (qRT-PCR) and quantitative nucleic acid sequence-based amplification (QT-NASBA) are increasingly used to ...
A Gelman, André Lin Ouédraogo, B Hoadley, C Eisenhart, C Fraser, C Osborne, CE McCulloch, Cornelus Hermsen, D Lunn, DJ Lunn, DJ Spiegelhalter, DL Massart, EC Fieller, F Ferre, FA Graybill, G Marsaglia, GK Shulka, HG Niesters, HS Mubarak El, J Jiang, J Wain, JF Cohen, JH McCulloch, JM Ruijter, JN Miller, JO Beer De, JS Murray, JS Yuan, K Danzer, K Khairnar, KK Lai, LC Okell, LJ Naszódi, M Plummer, M Sivaganesan, M Woodhead, Martin Walker, María-Gloria Basáñez, NM Ferguson, P Schneider, P Schneider, P Vankeerberghen, PF Mens, R Wampfler, S Nadarajah, SA Bustin, SA Bustin, SA Fiscus, T Nolan, T Ponnudurai, TD Schmittgen, Teun Bousema, Thomas S Churcher, TS Churcher, World Health Organization, Y Karlen, YW Tang   +56 more
core   +4 more sources

Statistical Methods for Targeted Clinical Trials under Enrichment Design

Journal of the Formosan Medical Association, 2008
After completion of the Human Genome Project, disease targets at the molecular level can be identified. Treatment for these specific targets can be developed with the individualized treatment of patients becoming a reality.
Jen-Pei Liu, Jr-Rung Lin
doaj   +1 more source

Local sensitivity diagnostics for Bayesian inference [PDF]

The Annals of Statistics, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gustafson, Paul, Wasserman, Larry
openaire   +2 more sources

Computing SARS-CoV-2 Infection Risk From Symptoms, Imaging, and Test Data: Diagnostic Model Development

Journal of Medical Internet Research, 2020
BackgroundAssigning meaningful probabilities of SARS-CoV-2 infection risk presents a diagnostic challenge across the continuum of care. ObjectiveThe aim of this study was to develop and clinically validate an adaptable, personalized ...
D'Ambrosia, Christopher, Christensen, Henrik, Aronoff-Spencer, Eliah   +2 more
doaj   +1 more source

Variational Bayes inference for hidden Markov diagnostic classification models

British Journal of Mathematical and Statistical Psychology, 2021
Abstract Diagnostic classification models (DCMs) can be used to track the cognitive learning states of students across multiple time points or over repeated measurements. This study developed an effective variational Bayes (VB) inference method for hidden Markov longitudinal general DCMs.
Kazuhiro Yamaguchi, Alfonso J. Martinez
openaire   +3 more sources

On the choice of parameters in solar structure inversion [PDF]

, 1999
The observed solar p-mode frequencies provide a powerful diagnostic of the internal structure of the Sun and permit us to test in considerable detail the physics used in the theory of stellar structure.
Christensen-Dalsgaard, J. Christensen-Dalsgaard, M. C. Rabello-Soares, S. Basu   +3 more
core   +3 more sources

Evidence cross-validation and Bayesian inference of MAST plasma equilibria [PDF]

, 2015
In this paper, current profiles for plasma discharges on the Mega-Ampere Spherical Tokamak (MAST) are directly calculated from pickup coil, flux loop and Motional-Stark Effect (MSE) observations via methods based in the statistical theory of Bayesian ...
Appel, L., Hole, M. J., Svensson, J., von Nessi, G. T.   +3 more
core   +1 more source

Visual aids improve diagnostic inferences and metacognitive judgment calibration [PDF]

Frontiers in Psychology, 2015
Visual aids can improve comprehension of risks associated with medical treatments, screenings, and lifestyles. Do visual aids also help decision makers accurately assess their risk comprehension? That is, do visual aids help them become well calibrated?
Rocio eGarcia-Retamero, Rocio eGarcia-Retamero, Rocio eGarcia-Retamero, Edward T. Cokely, Edward T. Cokely, Ulrich eHoffrage   +5 more
openaire   +6 more sources

Generalized Bayesian Inference Nets Model and Diagnosis of Cardiovascular Diseases

Journal of Intelligent Systems, 2011
A generalized Bayesian inference nets model (GBINM) is proposed to aid researchers to construct Bayesian inference nets for various applications. The benefit of such a model is well demonstrated by applying GBINM in constructing a hierarchical Bayesian ...
Sekar Booma Devi, Dong Mingchui, Dou Jiayi   +2 more
doaj   +1 more source

Permutation inference methods for multivariate meta-analysis

, 2019
Multivariate meta-analysis is gaining prominence in evidence synthesis research because it enables simultaneous synthesis of multiple correlated outcome data, and random-effects models have generally been used for addressing between-studies ...
Furukawa, Toshi A., Nagashima, Kengo, Noma, Hisashi   +2 more
core   +1 more source