Communications in Statistics: Simulation and Computation
Overview
'Communications in Statistics: Simulation and Computation' is a scholarly journal that focuses on the application of statistical methods, simulation techniques, and computational algorithms in various fields. It publishes research articles, reviews, and case studies that contribute to the advancement of statistical simulation and computation, providing a platform for researchers and practitioners to exchange knowledge and ideas in this domain.
Details
Details
Abbr.
Commun Stat Simul Comput
Start
1976
End
Continuing
Frequency
Four no. a year, 1985-
p-ISSN
0361-0918
e-ISSN
1532-4141
Country
United States
Language
English
Metrics
Metrics
h-index / Ranks: 6702
55
SJR / Ranks: 9778
440
CiteScore / Ranks: 10462
2.10
JIF / Ranks: 6961
0.9
Recent Articles
1.
Khanal M, Kim S, Ahn K
Commun Stat Simul Comput
. 2025 Jan;
54(1):120-143.
PMID: 39790711
Observational studies with right-censored data often have clustered data due to matched pairs or a study center effect. In such data, there may be an imbalance in patient characteristics between...
2.
Xi W, Hinton A, Lu B, Krotki K, Keller-Hamilton B, Ferketich A, et al.
Commun Stat Simul Comput
. 2024 Aug;
53(7):3285-3301.
PMID: 39184174
In scientific studies with low-prevalence outcomes, probability sampling may be supplemented by nonprobability sampling to boost the sample size of desired subpopulation while remaining representative to the entire study population....
3.
Cao W, Li Y, Yu Q
Commun Stat Simul Comput
. 2024 Aug;
52(6):2453-2470.
PMID: 39086850
Mediation analysis is widely used to identify significant mediators and estimate the mediation (direct and indirect) effects in causal pathways between an exposure variable and a response variable. In mediation...
4.
Hutson A
Commun Stat Simul Comput
. 2024 Mar;
53(2):799-813.
PMID: 38523867
In this note we introduce a new smooth nonparametric quantile function estimator based on a newly defined generalized expectile function and termed the sigmoidal quantile function estimator. We also introduce...
5.
Du R, Choi Y, Lee J, Songthip O, Hu Z
Commun Stat Simul Comput
. 2024 Mar;
53(2):1048-1067.
PMID: 38523866
Small number of clusters combined with cluster level heterogeneity poses a great challenge for the data analysis. We have published a weighted Jackknife approach to address this issue applying weighted...
6.
Siriwardhana C, Kulasekera K
Commun Stat Simul Comput
. 2024 Feb;
52(12):5773-5787.
PMID: 38371330
In this work we propose a novel method for individualized treatment selection when there are correlated multiple treatment responses. For the treatment ( ≥ 2) scenario, we compare quantities that...
7.
Zeng H, Chinchilli V, Ghahramani N
Commun Stat Simul Comput
. 2024 Jan;
53(1):203-218.
PMID: 38173825
The natural direct and indirect effects in causal mediation analysis with survival data having one mediator is addressed by VanderWeele (2011) [1]. He derived an approach for (1) an accelerated...
8.
Li R, Wang H, Zhao Y, Su J, Tu W
Commun Stat Simul Comput
. 2023 Dec;
52(10):4981-4998.
PMID: 38105918
Heterogeneous treatment effect estimation is an essential element in the practice of tailoring treatment to suit the characteristics of individual patients. Most existing methods are not sufficiently robust against data...
9.
Jackson H, Bowen S, Jaki T
Commun Stat Simul Comput
. 2023 Dec;
52(12):5946-5965.
PMID: 38045870
In this paper, we discuss a response adaptive randomization method, and why it should be used in clinical trials for rare diseases compared to a randomized controlled trial with equal...
10.
Singini I, Mwambi H, Gumedze F
Commun Stat Simul Comput
. 2023 Nov;
52(11):5163-5177.
PMID: 37981985
A two-stage joint survival model is used to analyse time to event outcomes that could be associated with biomakers that are repeatedly collected over time. A Two-stage joint survival model...