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Model‐based variance partitioning for statistical ecology

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/asmb.446openalex-snapshot
Analysis of regression in game theory approach
inferredcites →https://doi.org/10.1002/ece3.10647openalex-snapshot
Partitioning variance in reproductive success, within years and across lifetimes
inferredcites →https://doi.org/10.1002/ece3.733openalex-snapshot
Long‐term metapopulation study of the Glanville fritillary butterfly (Melitaea cinxia): survey methods, data management, and long‐term population trends
inferredcites →https://doi.org/10.1002/ecm.1646openalex-snapshot
Model‐based variance partitioning for statistical ecology
inferredcites →https://doi.org/10.1002/ecs2.4028openalex-snapshot
Disentangling spatial and environmental effects: Flexible methods for community ecology and macroecology
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Host‐plant availability drives the spatiotemporal dynamics of interacting metapopulations across a fragmented landscape
inferredcites →https://doi.org/10.1002/ecy.3336openalex-snapshot
A practical guide to selecting models for exploration, inference, and prediction in ecology
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Inferring ecological selection from multidimensional community trait distributions along environmental gradients
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Data Transformations in Regression Analysis with Applications to Stock—Recruitment Relationships
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A factor analysis of landscape pattern and structure metrics
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Variable importance by partitioningR 2
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Necessary and sufficient conditions for the validity of Jensen’s inequality
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Explaining prediction models and individual predictions with feature contributions
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Variance Allocation and Shapley Value
inferredcites →https://doi.org/10.1016/0270-0255(86)90088-6openalex-snapshot
A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
inferredcites →https://doi.org/10.1016/b978-0-444-53868-0.50018-6openalex-snapshot
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Performance metrics and variance partitioning reveal sources of uncertainty in species distribution models
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Causal assumptions and causal inference in ecological experiments
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Joint species distribution modelling with the r ‐package H msc
inferredcites →https://doi.org/10.1111/2041-210x.13800openalex-snapshot
Generalizing hierarchical and variation partitioning in multiple regression and canonical analyses using the rdacca.hp R package
inferredcites →https://doi.org/10.1111/brv.13127openalex-snapshot
Treating gaps and biases in biodiversity data as a missing data problem
inferredcites →https://doi.org/10.1111/ecog.04799openalex-snapshot
Long‐term demographic surveys reveal a consistent relationship between average occupancy and abundance within local populations of a butterfly metapopulation
inferredcites →https://doi.org/10.1111/ecog.06183openalex-snapshot
Spatial confounding in Bayesian species distribution modeling
inferredcites →https://doi.org/10.1111/gcb.14280openalex-snapshot
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An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
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COMMONALITY ANALYSIS: A METHOD FOR DECOMPOSING EXPLAINED VARIANCE IN MULTIPLE REGRESSION ANALYSES
inferredcites →https://doi.org/10.1111/j.1600-0587.2012.07348.xopenalex-snapshot
Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
inferredcites →https://doi.org/10.1111/j.2041-210x.2012.00261.xopenalex-snapshot
A general and simple method for obtaining R 2 from generalized linear mixed‐effects models
inferredcites →https://doi.org/10.1137/130936233openalex-snapshot
Sobol' Indices and Shapley Value
inferredcites →https://doi.org/10.1139/f2011-148openalex-snapshot
A fisheries risk-assessment framework to evaluate trade-offs among management options in the presence of time-varying productivity
inferredcites →https://doi.org/10.1139/f54-039openalex-snapshot
Stock and Recruitment
inferredcites →https://doi.org/10.1177/0013164401612006openalex-snapshot
Use of Structure Coefficients in Published Multiple Regression Articles: Β Is Not Enough
inferredcites →https://doi.org/10.1177/09622802221099642openalex-snapshot
Variance partitioning in spatio-temporal disease mapping models
inferredcites →https://doi.org/10.1198/tast.2009.08210openalex-snapshot
Coefficients of Determination in Logistic Regression Models—A New Proposal: The Coefficient of Discrimination
inferredcites →https://doi.org/10.1201/9780429258411openalex-snapshot
Bayesian Data Analysis
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Foundations of Factor Analysis
inferredcites →https://doi.org/10.1207/s15328031us0104_02openalex-snapshot
Partitioning Variation in Multilevel Models
inferredcites →https://doi.org/10.1214/009053604000001048openalex-snapshot
Analysis of variance—why it is more important than ever
inferredcites →https://doi.org/10.1214/06-ba117aopenalex-snapshot
Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
inferredcites →https://doi.org/10.1214/17-aoas1078openalex-snapshot
Point process models for spatio-temporal distance sampling data from a large-scale survey of blue whales
inferredcites →https://doi.org/10.18637/jss.v063.i19openalex-snapshot
Bayesian Spatial Modelling withR-INLA
inferredcites →https://doi.org/10.1890/0012-9615(2003)073[0301:ecsaei]2.0.co;2openalex-snapshot
ESTIMATING COMMUNITY STABILITY AND ECOLOGICAL INTERACTIONS FROM TIME-SERIES DATA
inferredcites →https://doi.org/10.1890/0012-9658(2006)87[2614:vposdm]2.0.co;2openalex-snapshot
VARIATION PARTITIONING OF SPECIES DATA MATRICES: ESTIMATION AND COMPARISON OF FRACTIONS
inferredcites →https://doi.org/10.1890/02-3114openalex-snapshot
CONFRONTING MULTICOLLINEARITY IN ECOLOGICAL MULTIPLE REGRESSION
inferredcites →https://doi.org/10.1890/11-1881.1openalex-snapshot
Integrated modeling of communities: parasitism, competition, and demographic synchrony in sympatric ducks
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R-Squared Measures for Count Data Regression Models with Applications to Health-Care Utilization
inferredcites →https://doi.org/10.2307/1940179openalex-snapshot
Partialling out the Spatial Component of Ecological Variation
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Statistical Methods for Research Workers.
inferredcites →https://doi.org/10.2307/2347053openalex-snapshot
The Choice of Variables in Observational Studies
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Proceedings of the Second International Tampere Conference in Statistics.
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The Assumptions Underlying the Analysis of Variance
inferredcites →https://doi.org/10.3102/00028312008002191openalex-snapshot
Partitioning Variance in Multiple Regression Analyses as a Tool For Developing Learning Models
inferredcites →https://doi.org/10.3102/00028312008004671openalex-snapshot
Comments: Orthogonal and Nonorthogonal Methods for Partitioning Regression Variance
inferredcites →https://doi.org/10.3354/meps13676openalex-snapshot
Exposing changing phenology of fish larvae by modeling climate effects on temporal early life-stage shifts
inferredcites →https://doi.org/10.3998/ptpbio.16039257.0010.003openalex-snapshot
Multiple Regression Is Not Multiple Regressions: The Meaning of Multiple Regression and the Non-Problem of Collinearity
inferredcites →https://doi.org/10.4135/9781412984942.n7openalex-snapshot
Correlation and Causation
inferredcites →https://doi.org/10.48550/arxiv.1908.09718openalex-snapshot
Shapley Decomposition of R-Squared in Machine Learning Models
inferredcites →https://doi.org/10.7275/5fex-b874openalex-snapshot
Interpreting Multiple Linear Regression: A Guidebook of Variable Importance
inferredcites →https://doi.org/10.7717/peerj.11414openalex-snapshot
partR2 : partitioning R 2 in generalized linear mixed models

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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