Statistica Neerlandica
Overview
Statistica Neerlandica is a scientific journal, published since 1955 in Dutch and English. The journal's country of origin is Netherlands.
Details
Details
Abbr.
Stat Neerl
Start
1955
End
Continuing
Frequency
3 no. a year, 1994-
p-ISSN
0039-0402
Country
Netherlands
Languages
Dutch
English
English
Metrics
Metrics
h-index / Ranks: 8264
43
SJR / Ranks: 7847
575
CiteScore / Ranks: 10462
2.10
JIF / Ranks: 6109
1.5
Recent Articles
1.
Wang P, Abner E, Liu C, Fardo D, Schmitt F, Jicha G, et al.
Stat Neerl
. 2024 Sep;
77(3):304-321.
PMID: 39309275
Finite Markov chains with absorbing states are popular tools for analyzing longitudinal data with categorical responses. The one step transition probabilities can be defined in terms of fixed and random...
2.
Calatayud J, Jornet M, Mateu J
Stat Neerl
. 2022 Oct;
PMID: 36247018
We model the incidence of the COVID-19 disease during the first wave of the epidemic in Castilla-Leon (Spain). Within-province dynamics may be governed by a generalized logistic map, but this...
3.
Hunsberger S, Long L, Reese S, Hong G, Myles I, Zerbe C, et al.
Stat Neerl
. 2022 Aug;
76(3):309-330.
PMID: 35936973
This paper develops methods to test for associations between two variables with clustered data using a -Statistic approach with a second-order approximation to the variance of the parameter estimate for...
4.
Chattopadhyay S, Maiti R, Das S, Biswas A
Stat Neerl
. 2021 Jul;
76(1):4-34.
PMID: 34226773
In this article, we consider the problem of change-point analysis for the count time series data through an integer-valued autoregressive process of order 1 (INAR(1)) with time-varying covariates. These types...
5.
Gasparini A, Abrams K, Barrett J, Major R, Sweeting M, Brunskill N, et al.
Stat Neerl
. 2020 Jan;
74(1):5-23.
PMID: 31894164
Electronic health records are being increasingly used in medical research to answer more relevant and detailed clinical questions; however, they pose new and significant methodological challenges. For instance, observation times...
6.
Marsman M, Waldorp L, Dablander F, Wagenmakers E
Stat Neerl
. 2019 Jul;
73(3):351-372.
PMID: 31341338
We propose to use the squared multiple correlation coefficient as an effect size measure for experimental analysis-of-variance designs and to use Bayesian methods to estimate its posterior distribution. We provide...
7.
Dattner I, Gugushvili S
Stat Neerl
. 2018 Jun;
72(2):126-156.
PMID: 29937593
In this paper, we study application of Le Cam's one-step method to parameter estimation in ordinary differential equation models. This computationally simple technique can serve as an alternative to numerical...
8.
Ly A, Marsman M, Wagenmakers E
Stat Neerl
. 2018 Jan;
72(1):4-13.
PMID: 29353942
Pearson's correlation is one of the most common measures of linear dependence. Recently, Bernardo (11th International Workshop on Objective Bayes Methodology, 2015) introduced a flexible class of priors to study...
9.
Lan L, Bandyopadhyay D, Datta S
Stat Neerl
. 2017 Aug;
71(1):31-57.
PMID: 28798498
Datasets examining periodontal disease records current (disease) status information of tooth-sites, whose stochastic behavior can be attributed to a multistate system with state occupation determined at a single inspection time....
10.
Todem D, Kim K, Fine J, Peng L
Stat Neerl
. 2011 Jan;
64(2):133-156.
PMID: 21258610
We propose a family of regression models to adjust for nonrandom dropouts in the analysis of longitudinal outcomes with fully observed covariates. The approach conceptually focuses on generalized linear models...