Open Access
Open access

A selective review of statistical methods using calibration information from similar studies

Publication typeJournal Article
Publication date2022-07-27
scimago Q3
wos Q2
SJR0.319
CiteScore1.2
Impact factor1.3
ISSN24754269, 24754277
Statistics and Probability
Computational Theory and Mathematics
Applied Mathematics
Statistics, Probability and Uncertainty
Analysis
Found 
Found 

Top-30

Journals

1
American Statistician
1 publication, 50%
Computational Statistics
1 publication, 50%
1

Publishers

1
Taylor & Francis
1 publication, 50%
Springer Nature
1 publication, 50%
1
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
2
Share
Cite this
GOST |
Cite this
GOST Copy
Qin J., Liu Y., Li P. A selective review of statistical methods using calibration information from similar studies // Statistical Theory and Related Fields. 2022. pp. 1-16.
GOST all authors (up to 50) Copy
Qin J., Liu Y., Li P. A selective review of statistical methods using calibration information from similar studies // Statistical Theory and Related Fields. 2022. pp. 1-16.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1080/24754269.2022.2096426
UR - https://doi.org/10.1080/24754269.2022.2096426
TI - A selective review of statistical methods using calibration information from similar studies
T2 - Statistical Theory and Related Fields
AU - Qin, Jing
AU - Liu, Yukun
AU - Li, Pengfei
PY - 2022
DA - 2022/07/27
PB - Taylor & Francis
SP - 1-16
SN - 2475-4269
SN - 2475-4277
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Qin,
author = {Jing Qin and Yukun Liu and Pengfei Li},
title = {A selective review of statistical methods using calibration information from similar studies},
journal = {Statistical Theory and Related Fields},
year = {2022},
publisher = {Taylor & Francis},
month = {jul},
url = {https://doi.org/10.1080/24754269.2022.2096426},
pages = {1--16},
doi = {10.1080/24754269.2022.2096426}
}