Results 251 to 260 of about 23,664,335 (320)

Bayesian hierarchical models for multivariate mixed responses with repeated measures: A case study in arterial occlusive disease. [PDF]

PLoS One
Ebrahim EA, Cengiz MA.
europepmc   +1 more source

Introducing the Truth Effect Database (TED): An open trial-level resource promoting FAIR data in truth effect research. [PDF]

Behav Res Methods
Lesche S, Stump A.
europepmc   +1 more source

Effect of Liposomal Bupivacaine in Peripheral Nerve Block Following Thoracoscopic Lung Surgery: A Systematic Review and Meta-Analysis. [PDF]

J Pain Res
Hu J, Zhang K, Ma Z, Ren D, Yan W.
europepmc   +1 more source

Methodological Considerations Regarding Heterogeneity and Statistical Modeling in "Effects on Exercise Tolerance and Functional Outcomes of Eccentric versus Concentric Aerobic Exercise in People with COPD" [Letter]. [PDF]

Int J Chron Obstruct Pulmon Dis
Otto-Yáñez M, Torres-Castro R, Vilaró J.   +2 more
europepmc   +1 more source

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Moiré Effect from Random Dots

Nature, 1969
The appearance of circular Moire fringes when a random dot pattern is superimposed on itself provides new evidence that the human visual process may include the computation of local autocorrelations by excitation of line detectors.
openaire   +4 more sources

A basic introduction to fixed‐effect and random‐effects models for meta‐analysis

Research Synthesis Methods, 2010
M. Borenstein, L. Hedges, J. Higgins, H. Rothstein   +3 more
semanticscholar   +3 more sources

Random-Effect Models for Degradation Analysis Based on Nonlinear Tweedie Exponential-Dispersion Processes

IEEE Transactions on Reliability, 2021
The degradation data of highly reliable products are usually analyzed by stochastic process models, such as Wiener process, gamma process and inverse Gaussian process models.
Zhen Chen, Tangbin Xia, Yaping Li, E. Pan   +3 more
semanticscholar   +1 more source

Fixed-effect Versus Random-effects Models for Meta-analyses: Random-effects Models

European Urology Focus, 2023
Random-effects models can account for variability both within and between studies. This makes them suitable for meta-analyses in surgery, where there is often significant heterogeneity between studies or heterogeneity owing to intrinsic differences attributable to patient or population factors.
Alex L.E. Halme, Kristen McAlpine, Alberto Martini   +2 more
openaire   +2 more sources

Analysis of multivariate dependent accelerated degradation data using a random-effect general Wiener process and D-vine Copula

Reliability Engineering & System Safety, 2020
A modern product usually shows multiple performance characteristics that degrade simultaneously. It is quite common that these degradation processes are dependent due to some common factors such as internal structure, operating conditions, and working ...
Fuqiang Sun, Fangyou Fu, H. Liao, Dan Xu
semanticscholar   +1 more source

Random Effects Models

1994
This chapter is concerned with random effects models for analyzing nonnormal data that are assumed to be clustered or correlated. The clustering may be due to repeated measurements over time, as in longitudinal studies, or to subsampling the primary sampling units, as in cross-sectional studies.
Ludwig Fahrmeir, Gerhard Tutz
openaire   +1 more source