Results 121 to 130 of about 131,402 (244)
Using Bayes theorem to estimate positive and negative predictive values for continuously and ordinally scaled diagnostic tests. [PDF]
Int J Methods Psychiatr Res, 2021 Fischer F.
europepmc +1 more source
Unconditional Variance Estimation Under Complex Surveys
International Statistical Review, EarlyView.Summary The unconditional framework treats the samples and the variables of interest as random variables. This is particularly suitable with analytic inference, when modelling survey data. We show that variance estimation does not involve finite population corrections and joint‐inclusion probabilities, even with large sampling fractions and under ...
Yves G. Berger
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The Random Power Function for Tests Based on Pivotal Quantities
International Statistical Review, EarlyView.Summary In clinical trials planning, evaluation of the probability of success of an experiment is of central interest, for instance, in sample size determination. This assessment typically involves analyses of the power function of a test on a parameter of interest, such as a relevant treatment effect.
Fulvio De Santis +2 more
wiley +1 more source
Research on GB-SAR slope deformation geocoding method based on Bayes theorem
Geocarto InternationalIn recent years, the ground based deformation monitoring radar (GB-SAR), as an emerging remote sensing deformation monitoring technology equipment, has become a research hotspot in the field of open pit mine slope safety and landslide geohazard ...
Hao Zhang +5 more
doaj +1 more source
Corrigendum to "Bayes' theorem, COVID19, and screening tests" [The American Journal of Emergency Medicine, Volume 38, Issue 10, October 2020, Pages 2011-2013]. [PDF]
Am J Emerg Med, 2021 Chan GM.
europepmc +1 more source
Journal of Advanced Nursing, EarlyView.ABSTRACT Aim To examine the impact of delays in intensive care unit (ICU) admission on patient outcomes, specifically clinical deterioration and mortality among patients transferred from the emergency department (ED) or general wards following acute deterioration in an Australian public hospital.
Shivaprasad Anagi +8 more
wiley +1 more source
Do robots boost productivity? A quantitative meta‐study
Journal of Economic Surveys, EarlyView.ABSTRACT This meta‐study analyzes the productivity effects of industrial robots. More than 1800 estimates from 85 primary studies are collected. The meta‐analytic evidence suggests that robotization has so far provided, at best, a small boost to productivity. There is strong evidence of publication bias in the positive direction.
Florian Schneider
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Markov Determinantal Point Process for Dynamic Random Sets
Journal of Time Series Analysis, EarlyView.ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
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Multiple Chains Markov Switching Vector Autoregression
Journal of Time Series Analysis, EarlyView.ABSTRACT Both the U.S. stock and bond returns exhibit distinct Markovian regimes. However, because these regimes display limited coherence, conventional models typically require highly parameterized systems to adequately capture their joint distribution.
Leopoldo Catania
wiley +1 more source
Why Do Prosocial People Dislike Markets in Some Countries and Like Them in Others?
Kyklos, EarlyView.ABSTRACT Based on the doux commerce thesis, which suggests that people in market‐oriented societies hold stronger prosocial values than those in less market‐oriented ones, one can expect prosocial and pro‐market values to be positively associated. The fact that the association holds for cross‐country observations but does not universally hold for cross‐
Pál Czeglédi
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