The evolutionary ecology of individual phenotypic plasticity in wild populations

DH Nussey, AJ Wilson… - Journal of evolutionary …, 2007 - academic.oup.com
The ability of individual organisms to alter morphological and life‐history traits in response to
the conditions they experience is an example of phenotypic plasticity which is fundamental …

Income, financial barriers to health care and public health expenditure: a multilevel analysis of 28 countries

TJ Kim, N Vonneilich, D Lüdecke… - Social Science & …, 2017 - Elsevier
International studies have repeatedly shown that people with lower income are more likely
to experience difficulties to access medical services. Less is known on why these relations …

[HTML][HTML] Additive genetic and heterosis effects for milk fever in a population of Jersey, Holstein× Jersey, and Holstein cattle under grazing conditions

A Saborío-Montero, B Vargas-Leitón… - Journal of Dairy …, 2018 - Elsevier
The aim of this study was to estimate additive genetic and heterosis effects for milk fever
(MF) in Costa Rican dairy cattle. A farm-based management information software was used …

[PDF][PDF] Additive Mixed Models applied to the study of red shrimp landings: comparison between frequentist and Bayesian perspectives

V Mamouridis - Universidad de Coruña. Departamento de Matemáticas …, 2011 - eamo.usc.es
Relationships between Red shrimp landings in the Catalonian port of Barcelona and some
explanatory variables are studied by means of regression analysis. Generalized additive …

Network Meta-Analysis of Time-to-Event Endpoints with Individual Participant Data using Restricted Mean Survival Time Regression

K Hua, X Wang, H Hong - arxiv preprint arxiv:2310.13162, 2023 - arxiv.org
Restricted mean survival time (RMST) models have gained popularity when analyzing time-
to-event outcomes because RMST models offer more straightforward interpretations of …

Performances of different estimation methods for generalized linear mixed models.

K Biswas - 2015 - macsphere.mcmaster.ca
Generalized linear mixed models (GLMMs) have become extremely popular in recent years.
The main computational problem in parameter estimation for GLMMs is that, in contrast to …

Semiparametric approach to logistic model with random intercept

M Kim - The Korean Journal of Applied Statistics, 2015 - koreascience.kr
Logistic models with a random intercept are useful to analyze longitudinal binary data.
Traditionally, the random intercept of the logistic model is assumed to be parametric (such …

[BOK][B] Statistical Analysis of Correlated Ordinal Data: Application to Cluster Randomization Trials

R Gao - 2013 - search.proquest.com
Cluster randomization trials have become increasingly popular when theoretical, ethical or
practical considerations preclude the use of traditional trials that randomize individual …

[BOK][B] Impact of design features for cross-classified logistic models when the cross-classification structure is ignored

W Ren - 2011 - search.proquest.com
In education and other social science research, researchers often encounter data with
multilevel structures. Over the past two decades, hierarchical linear models (HLMs) have …

[PDF][PDF] Auswertung von Zähldaten mit wiederholten Beobachtungen pro Objekt: dargestellt an Beispielen aus dem landwirtschaftlichen Versuchswesen

K Thamm - 2012 - opendata.uni-halle.de
GLM enthalten bei Annahme von Normalverteilung die linearen Modelle als Spezialfall.
Analog zu den linearen Modellen werden die Effekte von qualitativen Faktoren und die …