MMI: Multimodel inference or models with management implications?

A guide to Bayesian model selection for ecologists

(2015) M. B. Hooten et al.   ECOLOGICAL MONOGRAPHS

Model averaging and muddled multimodel inferences

(2015) Brian S. Cade   ECOLOGY

Transformation-based model averaged tail area inference

(2014) Wei Yu et al.   COMPUTATIONAL STATISTICS

In defense ofPvalues

(2014) Paul A. Murtaugh   ECOLOGY

Simultaneous Inference for Model Averaging of Derived Parameters

(2014) Signe M. Jensen et al.   RISK ANALYSIS

Ecologists overestimate the importance of predictor variables in model averaging: a plea for cautious interpretations

(2014) Matthias Galipaud et al.   Methods in Ecology and Evolution

Interval Estimation by Frequentist Model Averaging

(2013) Haiying Wang et al.   COMMUNICATIONS IN STATISTICS-THEORY AND METHODS

Model-averaged Wald confidence intervals

(2012) Daniel Turek et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

(2012) Carsten F. Dormann et al.   ECOGRAPHY

Understanding the causes and consequences of animal movement: a cautionary note on fitting and interpreting regression models with time-dependent covariates

(2012) J. Fieberg et al.   Methods in Ecology and Evolution

The Simpson's paradox unraveled

(2011) Miguel A Hernán et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Spending degrees of freedom in a poor economy: A case study of building a sightability model for moose in northeastern Minnesota

(2011) John H. Giudice et al.   JOURNAL OF WILDLIFE MANAGEMENT

Analyses of longitudinal, hospital clinical laboratory data with application to blood glucose concentrations

(2011) Jonathan S. Schildcrout et al.   STATISTICS IN MEDICINE

Using information theory as a substitute for stepwise regression in ecology and behavior

(2010) Gergely Hegyi et al.   BEHAVIORAL ECOLOGY AND SOCIOBIOLOGY

Alternative regression methods are not considered in Murtaugh (2009) or by ecologists in general

(2010) Johan P. Dahlgren   ECOLOGY LETTERS

Model selection bias and Freedman’s paradox

(2009) Paul M. Lukacs et al.   ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS

Methods to quantify variable importance: implications for the analysis of noisy ecological data

(2009) Kim Murray et al.   ECOLOGY

Performance of several variable-selection methods applied to real ecological data

(2009) Paul A. Murtaugh   ECOLOGY LETTERS

Stepwise Model Fitting and Statistical Inference: Turning Noise into Signal Pollution

(2008) Roger Mundry et al.   AMERICAN NATURALIST