CORE
CO
nnecting
RE
positories
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
Research partnership
About
About
About us
Our mission
Team
Blog
FAQs
Contact us
Community governance
Governance
Advisory Board
Board of supporters
Research network
Innovations
Our research
Labs
Closing the gap on causal processes of infection risk from cross-sectional data: structural equation models to understand infection and co-infection
Authors
A Fenton
AB Pedersen
+39 more
AL Graham
B Willi
BJ Luria
C Cohen
Cathy C. Chan
D Rizopoulos
DM Tompkins
E Musenge
E Serrano
EW Seabloom
J Lello
JA Beatty
JO Lloyd-Smith
Julia A. Beatty
KA Bollen
Kathryn Stutzman-Rodriguez
KP Burnham
M Chavance
M Hanf
M Joffe
ME Davis
Michael R. Lappin
NA Feasey
R Core Team
Rachel L. Harris
RB Kline
RK Plowright
RM Troyer
Ryan M. Troyer
S Chitunhu
S Telfer
Scott Carver
Sue VandeWoude
Séverine Tasker
TC Clarke
Vanessa R. Barrs
Y Mansiaux
Y Rosseel
Y-H Chen
Publication date
Publisher
'Springer Science and Business Media LLC'
Doi
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%2Fs13071-015-...
Last time updated on 01/04/2019