University of Otago

A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010

A general and simple method for obtaining <i>R</i> ² from generalized linear mixed‐effects models

Summary The use of both linear and generalized linear mixed‐effects models ( LMM s and GLMM s) has become popular not only in social and medical sciences, but also in biological...

Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010

PsychoPy2: Experiments in behavior made easy

Measures of Reliability in Sports Medicine and Science

BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis

Elaboration of Bayesian phylogenetic inference methods has continued at pace in recent years with major new advances in nearly all aspects of the joint modelling of evolutionary...

Multimodel inference in ecology and evolution: challenges and solutions

Information theoretic approaches and model averaging are increasing in popularity, but this approach can be difficult to apply to the realistic, complex models that typify many ...

Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease

Unstable disability and the fluctuations of frailty

Despite increasing use in the literature of old age,'frailty' remains an ill-defined term. The components offrailty have not been sufficiently defined to be used toidentify a re...

Nested by design: model fitting and interpretation in a mixed model era

Summary Nested data structures are ubiquitous in the study of ecology and evolution, and such structures need to be modelled appropriately. Mixed‐effects models offer a powerful...