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

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

    I whakaputaina 2015
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  2. 2
    Statistical illiteracy undermines informed shared decision making

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

    I whakaputaina 2008
    Whiwhi kuputuhi katoa
    Artigo
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  3. 3
    The multiplicative heteroscedastic Von Bertalanffy model

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

    I whakaputaina 2011
    Whiwhi kuputuhi katoa
    Artigo
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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 mā Xiaoquan Wen, Matthew Stephens

    I whakaputaina 2014
    Whiwhi kuputuhi katoa
    Artigo
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  5. 5
    Multi-subject analyses with dynamic causal modeling

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

    I whakaputaina 2009
    Whiwhi kuputuhi katoa
    Artigo
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  6. 6
    Empirical Bayes Estimates for Large-Scale Prediction Problems

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

    I whakaputaina 2009
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    Artigo
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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? mā Pierre de Villemereuil, Éric Frichot, Éric Bazin, Olivier François, Oscar E. Gaggiotti

    I whakaputaina 2014
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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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 mā Sonya K. Sterba

    I whakaputaina 2009
    Whiwhi kuputuhi katoa
    Artigo
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  9. 9
    Information Bottleneck Approach to Predictive Inference

    Information Bottleneck Approach to Predictive Inference mā Susanne Still

    I whakaputaina 2014
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  10. 10
    Size, power and false discovery rates

    Size, power and false discovery rates mā Bradley Efron

    I whakaputaina 2007
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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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 mā Kellie J. Archer, André Williams

    I whakaputaina 2012
    Whiwhi kuputuhi katoa
    Artigo
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  12. 12
    Joint Ancestry and Association Testing in Admixed Individuals

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

    I whakaputaina 2011
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  13. 13
    FMRI group analysis combining effect estimates and their variances

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

    I whakaputaina 2011
    Whiwhi kuputuhi katoa
    Artigo
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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 mā Richard F. West, Keith E. Stanovich

    I whakaputaina 1997
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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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 mā Adam N. Sanborn, Thomas T. Hills

    I whakaputaina 2013
    Whiwhi kuputuhi katoa
    Revisão
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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 mā Florian Hutzler

    I whakaputaina 2013
    Whiwhi kuputuhi katoa
    Revisão
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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 mā Pierre de Villemereuil, Olivier Giménez, Blandine Doligez

    I whakaputaina 2012
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  18. 18
    Practical Issues in Imputation-Based Association Mapping

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

    I whakaputaina 2008
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  19. 19
    A Bayesian framework for comparative quantitative genetics

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

    I whakaputaina 2008
    Whiwhi kuputuhi katoa
    Artigo
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  20. 20
    Replication in Genome-Wide Association Studies

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

    I whakaputaina 2009
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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