Cookies on CAB Reviews

Like most websites we use cookies. This is to ensure that we give you the best experience possible.

 

Continuing to use www.cabi.org  means you agree to our use of cookies. If you would like to, you can learn more about the cookies we use.

CAB Reviews

A reviews journal covering agriculture, global health, nutrition, natural resources and veterinary science

Results per page:

Search results

In this review, we describe and illustrate the selection and use of some appropriate regression models for bivariate statistical relationships. The most commonly used method, ordinary least squares (OLS) or type I regression, may be inappropriate when the predictor variable is subject to...

Author(s)
Dhanoa, M. S.; Sanderson, R.; López, S.; France, J.
Publisher
CABI, Wallingford, UK
Citation
CAB Reviews, 2016, 11, 028, pp 1-15

In this worked example, we present a two-component generalized linear mixed model (GLMM) modelling a counting response with exceedingly many zeros. The emphasis will be on model construction and validation. To our knowledge only ADMB (if the likelihood functions are coded directly) and the GLIMMIX...

Author(s)
Thiele, J.; Markussen, B.
Publisher
CABI, Wallingford, UK
Citation
CAB Reviews, 2012, 7, 019, pp 1-8

This paper, Supplement A to Thiele J, Markussen B. Potential of GLMM in modelling invasive spread. CAB Reviews 2012; 7:016, describes the literature search done as part of the analysis of generalized linear mixed models in the context of invasive spread.

Author(s)
Thiele, J.; Markussen, B.
Publisher
CABI, Wallingford, UK
Citation
CAB Reviews, 2012, 7, 017, pp 1-12

Utilization of generalized linear mixed models (GLMM) in invasion biology has increased exponentially during the last 5-10 years. GLMM are useful tools that can handle data with various distributions as well as spatial or temporal dependence, which are involved in many study designs. We review the...

Author(s)
Thiele, J.; Markussen, B.
Publisher
CABI, Wallingford, UK
Citation
CAB Reviews, 2012, 7, 016, pp 1-10