CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Bayesian models as a unified approach to estimate relative risk (or prevalence ratio) in binary and polytomous outcomes
Authors
A Gelman
A Gelman
+38 more
A Thomas
A Zeileis
AJD Barros
B Carstensen
C Zocchetti
C Zocchetti
CO Schmidt
D Lunn
DA Grimes
DL Sackett
DW Hosmer
G Zou
GY Zou
H Chu
H Rue
J Deeks
J Lee
J Zhang
JC Sinclair
L Blizzard
L Blizzard
L-A McNutt
LN Yelland
LN Yelland
LN Yelland
ML Thompson
RE Carter
S Greenland
S Wacholder
SA Camey
SM Kerry
Stan Development Team
Suzi Alves Camey
T Williamson
TAB Snijders
TG Martins
Vanessa Bielefeldt Leotti Torman
Z Feng
Publication date
Publisher
'Springer Science and Business Media LLC'
Doi
Cite
Abstract
Abstract is not available.
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Crossref
See this paper in CORE
Go to the repository landing page
Download from data provider
info:doi/10.1186%2Fs12982-015-...
Last time updated on 05/06/2019