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  1. 1
    Incorporating measurement error in n = 1 psychological autoregressive modeling

    Incorporating measurement error in n = 1 psychological autoregressive modeling by Noémi Katalin Schuurman, Jan Houtveen, Ellen L. Hamaker

    Published 2015
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  2. 2
    Statistical illiteracy undermines informed shared decision making

    Statistical illiteracy undermines informed shared decision making by Wolfgang Gaissmaier, Gerd Gigerenzer

    Published 2008
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  3. 3
    The multiplicative heteroscedastic Von Bertalanffy model

    The multiplicative heteroscedastic Von Bertalanffy model by Carlos Alberto Ribeiro Diniz, Francisco Louzada, Lia Hanna Martins Morita

    Published 2011
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  4. 4
    Bayesian methods for genetic association analysis with heterogeneous subgroups: From meta-analyses to gene–environment interactions

    Bayesian methods for genetic association analysis with heterogeneous subgroups: From meta-analyses to gene–environment interactions by Xiaoquan Wen, Matthew Stephens

    Published 2014
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  5. 5
    Multi-subject analyses with dynamic causal modeling

    Multi-subject analyses with dynamic causal modeling by Christian H. Kasess, Klaas Ε. Stephan, Andreas Weißenbacher, Lukas Pezawas, Ewald Moser, Christian Windischberger

    Published 2009
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  6. 6
    Empirical Bayes Estimates for Large-Scale Prediction Problems

    Empirical Bayes Estimates for Large-Scale Prediction Problems by Bradley Efron

    Published 2009
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  7. 7
    Genome scan methods against more complex models: when and how much should we trust them?

    Genome scan methods against more complex models: when and how much should we trust them? by Pierre de Villemereuil, Éric Frichot, Éric Bazin, Olivier François, Oscar E. Gaggiotti

    Published 2014
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  8. 8
    Alternative Model-Based and Design-Based Frameworks for Inference From Samples to Populations: From Polarization to Integration

    Alternative Model-Based and Design-Based Frameworks for Inference From Samples to Populations: From Polarization to Integration by Sonya K. Sterba

    Published 2009
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  9. 9
    Information Bottleneck Approach to Predictive Inference

    Information Bottleneck Approach to Predictive Inference by Susanne Still

    Published 2014
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  10. 10
    Size, power and false discovery rates

    Size, power and false discovery rates by Bradley Efron

    Published 2007
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  11. 11
    L<sub>1</sub>penalized continuation ratio models for ordinal response prediction using high‐dimensional datasets

    L<sub>1</sub>penalized continuation ratio models for ordinal response prediction using high‐dimensional datasets by Kellie J. Archer, André Williams

    Published 2012
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  12. 12
    Joint Ancestry and Association Testing in Admixed Individuals

    Joint Ancestry and Association Testing in Admixed Individuals by Daniel Shriner, Adebowale Adeyemo, Charles N. Rotimi

    Published 2011
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  13. 13
    FMRI group analysis combining effect estimates and their variances

    FMRI group analysis combining effect estimates and their variances by Gang Chen, Ziad S. Saad, Audrey Nath, Michael S. Beauchamp, Robert W. Cox

    Published 2011
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  14. 14
    The domain specificity and generality of overconfidence: Individual differences in performance estimation bias

    The domain specificity and generality of overconfidence: Individual differences in performance estimation bias by Richard F. West, Keith E. Stanovich

    Published 1997
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  15. 15
    The frequentist implications of optional stopping on Bayesian hypothesis tests

    The frequentist implications of optional stopping on Bayesian hypothesis tests by Adam N. Sanborn, Thomas T. Hills

    Published 2013
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  16. 16
    Reverse inference is not a fallacy per se: Cognitive processes can be inferred from functional imaging data

    Reverse inference is not a fallacy per se: Cognitive processes can be inferred from functional imaging data by Florian Hutzler

    Published 2013
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  17. 17
    Comparing parent–offspring regression with frequentist and Bayesian animal models to estimate heritability in wild populations: a simulation study for Gaussian and binary traits

    Comparing parent–offspring regression with frequentist and Bayesian animal models to estimate heritability in wild populations: a simulation study for Gaussian and binary traits by Pierre de Villemereuil, Olivier Giménez, Blandine Doligez

    Published 2012
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  18. 18
    Practical Issues in Imputation-Based Association Mapping

    Practical Issues in Imputation-Based Association Mapping by Yongtao Guan, Matthew Stephens

    Published 2008
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  19. 19
    A Bayesian framework for comparative quantitative genetics

    A Bayesian framework for comparative quantitative genetics by Otso Ovaskainen, José Manuel Cano, Juha Merilä

    Published 2008
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  20. 20
    Replication in Genome-Wide Association Studies

    Replication in Genome-Wide Association Studies by Peter Kraft, Eleftheria Zeggini, John P. A. Ioannidis

    Published 2009
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