Journal of Data Science : Jds
Overview
Journal of Data Science : Jds is a scientific journal, published since 2003 in English. The journal's country of origin is China.
Details
Details
Abbr.
J Data Sci
Start
2003
End
Continuing
Frequency
Quarterly
p-ISSN
1680-743X
e-ISSN
1683-8602
Country
China
Language
English
Recent Articles
1.
Boland J, Telesca D, Sugar C, Jeste S, Dickinson A, DiStefano C, et al.
J Data Sci
. 2024 Jun;
21(4):715-734.
PMID: 38883309
Bayesian methods provide direct inference in functional data analysis applications without reliance on bootstrap techniques. A major tool in functional data applications is the functional principal component analysis which decomposes...
2.
Xie H, Rolka D, Barker L
J Data Sci
. 2024 May;
21(1):145-157.
PMID: 38799122
Estimates of county-level disease prevalence have a variety of applications. Such estimation is often done via model-based small-area estimation using survey data. However, for conditions with low prevalence (i.e., rare...
3.
Qin J, Sun Y, Yuan A, Huang C
J Data Sci
. 2024 Apr;
21(4):681-695.
PMID: 38623143
Single-index models are becoming increasingly popular in many scientific applications as they offer the advantages of flexibility in regression modeling as well as interpretable covariate effects. In the context of...
4.
OMalley A, Ran X, An C, Rockmore D
J Data Sci
. 2024 Mar;
21(3):578-598.
PMID: 38515560
Social network analysis has created a productive framework for the analysis of the histories of patient-physician interactions and physician collaboration. Notable is the construction of networks based on the data...
5.
Saha A, Datta A, Banerjee S
J Data Sci
. 2023 Oct;
20(4):533-544.
PMID: 37786782
Spatial probit generalized linear mixed models (spGLMM) with a linear fixed effect and a spatial random effect, endowed with a Gaussian Process prior, are widely used for analysis of binary...
6.
Kawaguchi E, Li S, Weaver G, Lewinger J
J Data Sci
. 2022 Oct;
20(1):34-50.
PMID: 36274755
There is a great deal of prior knowledge about gene function and regulation in the form of annotations or prior results that, if directly integrated into individual prognostic or diagnostic...
7.
Liu Y, Lin F, Lin J, Li Q
J Data Sci
. 2022 Aug;
20(1):51-78.
PMID: 35928784
A standard competing risks set-up requires both time to event and cause of failure to be fully observable for all subjects. However, in application, the cause of failure may not...
8.
Lyu T, Luo X, Sun Y
J Data Sci
. 2022 Jun;
19(4):615-633.
PMID: 35757199
Regression methods, including the proportional rates model and additive rates model, have been proposed to evaluate the effect of covariates on the risk of recurrent events. These two models have...
9.
Kawaguchi E, Darst B, Wang K, Conti D
J Data Sci
. 2022 Feb;
19(3):429-449.
PMID: 35222618
Penalized regression provides an automated approach to preform simultaneous variable selection and parameter estimation and is a popular method to analyze high-dimensional data. Since the conception of the LASSO in...
10.
Zhang P, Wang T, Xie S
J Data Sci
. 2020 Oct;
18(3):536-549.
PMID: 33088292
As the COVID-19 pandemic has strongly disrupted people's daily work and life, a great amount of scientific research has been conducted to understand the key characteristics of this new epidemic....