Journal of the Royal Statistical Society. Series B, Statistical Methodology
Overview
The Journal of the Royal Statistical Society, Series B: Statistical Methodology, is a prestigious academic journal that publishes cutting-edge research in statistical methodology. It covers a wide range of topics including theoretical developments, innovative methodologies, and practical applications in statistics. The journal serves as a platform for statisticians and researchers to share their advancements and contribute to the field of statistical methodology.
Details
Details
Abbr.
J R Stat Soc Series B Stat Methodol
Start
1998
End
Continuing
Frequency
Quarterly
p-ISSN
1369-7412
e-ISSN
1467-9868
Country
United Kingdom
Language
English
Metrics
Metrics
h-index / Ranks: 1393
151
SJR / Ranks: 331
4330
CiteScore / Ranks: 3928
5.90
JIF / Ranks: 1190
5.8
Recent Articles
11.
He Y, Song P, Xu G
J R Stat Soc Series B Stat Methodol
. 2024 May;
86(2):411-434.
PMID: 38746015
Mediation analysis aims to assess if, and how, a certain exposure influences an outcome of interest through intermediate variables. This problem has recently gained a surge of attention due to...
12.
Egami N, Tchetgen Tchetgen E
J R Stat Soc Series B Stat Methodol
. 2024 Apr;
86(2):487-511.
PMID: 38618143
Identification and estimation of causal peer effects are challenging in observational studies for two reasons. The first is the identification challenge due to unmeasured network confounding, for example, homophily bias...
13.
Zhang D, Li L, Sripada C, Kang J
J R Stat Soc Series B Stat Methodol
. 2024 Apr;
85(5):1589-1614.
PMID: 38584801
Delineating associations between images and covariates is a central aim of imaging studies. To tackle this problem, we propose a novel non-parametric approach in the framework of spatially varying coefficient...
14.
Cheung Y, Diaz K
J R Stat Soc Series B Stat Methodol
. 2024 Mar;
85(2):497-522.
PMID: 38464683
We formulate the estimation of monotone response surface of multiple factors as the inverse of an iteration of partially ordered classifier ensembles. Each ensemble (called PIPE-classifiers) is a projection of...
15.
Maullin-Sapey T, Schwartzman A, Nichols T
J R Stat Soc Series B Stat Methodol
. 2024 Feb;
86(1):177-193.
PMID: 38344135
The analysis of excursion sets in imaging data is essential to a wide range of scientific disciplines such as neuroimaging, climatology, and cosmology. Despite growing literature, there is little published...
16.
Qiu H, Dobriban E, Tchetgen Tchetgen E
J R Stat Soc Series B Stat Methodol
. 2024 Feb;
85(5):1680-1705.
PMID: 38312527
Predicting sets of outcomes-instead of unique outcomes-is a promising solution to uncertainty quantification in statistical learning. Despite a rich literature on constructing prediction sets with statistical guarantees, adapting to unknown...
17.
Fang E, Ning Y, Liu H
J R Stat Soc Series B Stat Methodol
. 2023 Oct;
79(5):1415-1437.
PMID: 37854943
This paper proposes a decorrelation-based approach to test hypotheses and construct confidence intervals for the low dimensional component of high dimensional proportional hazards models. Motivated by the geometric projection principle,...
18.
Zhou Y, Shi C, Li L, Yao Q
J R Stat Soc Series B Stat Methodol
. 2023 Oct;
85(4):1204-1222.
PMID: 37780936
The Markov property is widely imposed in analysis of time series data. Correspondingly, testing the Markov property, and relatedly, inferring the order of a Markov model, are of paramount importance....
19.
Li X, Li S, Luedtke A
J R Stat Soc Series B Stat Methodol
. 2023 Aug;
85(2):356-377.
PMID: 37593690
We present a framework for using existing external data to identify and estimate the relative efficiency of a covariate-adjusted estimator compared to an unadjusted estimator in a future randomized trial....
20.
Li W, Miao W, Tchetgen Tchetgen E
J R Stat Soc Series B Stat Methodol
. 2023 Jul;
85(3):913-935.
PMID: 37521168
We consider identification and inference about mean functionals of observed covariates and an outcome variable subject to non-ignorable missingness. By leveraging a shadow variable, we establish a necessary and sufficient...