Results 111 to 120 of about 34,617 (237)
Frequentist against Bayesian statistics: tug of war! [PDF]
Abhijit Nair
doaj +1 more source
The optimal stent‐strategy in paediatric pyeloplasty: a systematic review and network meta‐analysis
Objectives To compare internal JJ stenting, external transanastomotic stenting and stentless repair after Anderson–Hynes pyeloplasty in children. Patients and Methods A systematic review and network meta‐analysis of children with pelvi‐ureteric junction (PUJ) obstruction undergoing Anderson‐Hynes pyeloplasty.
Ophelia Aubert +10 more
wiley +1 more source
A tutorial on Bayesian model averaging for exponential random graph models
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo +2 more
wiley +1 more source
A Bayes factor framework for unified parameter estimation and hypothesis testing
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley +1 more source
From tetrachoric to kappa: How to assess reliability on binary scales
Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their ...
Sophie Vanbelle
wiley +1 more source
Implementing errors on errors: Bayesian vs frequentist
When combining apparently inconsistentexperimental results, one often implements errors on errors. The Particle Data Group’s phenomenological prescription offers a practical solution but lacks a firm theoretical foundation.
Satoshi Mishima, Kin-ya Oda
doaj +1 more source
Frequentist and Bayesian inference: a conceptual primer [PDF]
: In recent years, there has been a crisis of confidence in many empirical fields including psychology, regarding the reproducibility of scientific findings.
Van Zyl, Casper J. J.
core
Power priors for latent variable mediation models under small sample sizes
Abstract Latent variable models typically require large sample sizes for acceptable efficiency and reliable convergence. Appropriate informative priors are often required for gainfully employing Bayesian analysis with small samples. Power priors are informative priors built on historical data, weighted to account for non‐exchangeability with the ...
Lihan Chen +2 more
wiley +1 more source
Prior Belief Before Bayesian Statistics
Acta Paediatrica, EarlyView.
G. Greisen, M. L. Hansen, M. H. Olsen
wiley +1 more source
Latent Poisson count models for action count data from technology‐enhanced assessments
Abstract Recent advances in computerized assessments have enabled the use of innovative item formats (e.g., drag‐and‐drop, scenario‐based), necessitating a flexible model that can capture systematic influence of item types on action counts. In this study, we present a refinement scheme that can explicitly model common features of items and allows ...
Gregory Arbet, Hyeon‐Ah Kang
wiley +1 more source

