Edwin R. van den Heuvel | DeepAI

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Featured Co-authors

Zhuozhao Zhan
5 publications
Paulo Serra
5 publications
Osama Almalik
4 publications
Elisa Perrone
2 publications
Maliheh Heidari
1 publication
Md Abu Manju
1 publication
Pieta C. IJzerman-Boon
1 publication
Michiel H. J. Paus
1 publication
Marc J. M. Meddens
1 publication
Vasan S. Ramachandran
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Marta Regis
1 publication

∙ 08/18/2022

Sharp Inequalities of Bienaymé-Chebyshev and GaußType for Possibly Asymmetric Intervals around the Mean

Gauß(1823) proved a sharp upper bound on the probability that a random v...

0 Roxana A. Ion, et al. ∙

∙ 08/05/2022

Kendall's tau estimator for bivariate zero-inflated count data

In this paper, we extend the work of Pimentel et al. (2015) and propose ...

0 Elisa Perrone, et al. ∙

∙ 04/07/2021

A bivariate likelihood approach for estimation of a pooled continuous effect size from a heteroscedastic meta-analysis study

The DerSimonian-Laird (DL) weighted average method has been widely used ...

0 Osama Almalik, et al. ∙

∙ 04/04/2021

D-optimal designs for the Mitscherlich non-linear regression function

Mitscherlich's function is a well-known three-parameter non-linear regre...

0 Maliheh Heidari, et al. ∙

∙ 03/23/2021

Binary disease prediction using tail quantiles of the distribution of continuous biomarkers

In the analysis of binary disease classification, single biomarkers migh...

0 Michiel H. J. Paus, et al. ∙

∙ 09/17/2020

Random autoregressive models: A structured overview

Models characterized by autoregressive structure and random coefficients...

0 Marta Regis, et al. ∙

∙ 09/14/2020

Simulation Models for Aggregated Data Meta-Analysis: Evaluation of Pooling Effect Sizes and Publication Biases

Simulation studies are commonly used to evaluate the performance of newl...

0 Edwin R. van den Heuvel, et al. ∙

∙ 07/31/2020

Copas' method is sensitive to different mechanisms of publication bias

Copas' method corrects a pooled estimate from an aggregated data meta-an...

0 Osama Almalik, et al. ∙

∙ 12/13/2019

Joint modeling with time-dependent treatment and heteroskedasticity: Bayesian analysis with application to the Framingham Heart Study

Medical studies for chronic disease are often interested in the relation...

0 Zhuozhao Zhan, et al. ∙

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