检索结果 - Conor V. Dolan

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  1. 1
    TATES: Efficient Multivariate Genotype-Phenotype Analysis for Genome-Wide Association Studies

    TATES: Efficient Multivariate Genotype-Phenotype Analysis for Genome-Wide Association Studies 由 Sophie van der Sluis, Daniëlle Posthuma, Conor V. Dolan

    出版 2013
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  2. 2
    A Note on False Positives and Power in G × E Modelling of Twin Data

    A Note on False Positives and Power in G × E Modelling of Twin Data 由 Sophie van der Sluis, Daniëlle Posthuma, Conor V. Dolan

    出版 2011
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  3. 3
    A Test of the Equal Environment Assumption (EEA) in Multivariate Twin Studies

    A Test of the Equal Environment Assumption (EEA) in Multivariate Twin Studies 由 Eske M. Derks, Conor V. Dolan, Dorret I. Boomsma

    出版 2006
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  4. 4
    A Test of the Equal Environment Assumption (EEA) in Multivariate Twin Studies

    A Test of the Equal Environment Assumption (EEA) in Multivariate Twin Studies 由 Eske M. Derks, Conor V. Dolan, Dorret I. Boomsma

    出版 2006
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  5. 5
    Age-related change in executive function: Developmental trends and a latent variable analysis

    Age-related change in executive function: Developmental trends and a latent variable analysis 由 Mariëtte Huizinga, Conor V. Dolan, Maurits W. van der Molen

    出版 2006
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  6. 6
    A third source of developmental differences

    A third source of developmental differences 由 Peter C. M. Molenaar, Dorret I. Boomsma, Conor V. Dolan

    出版 1993
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  7. 7
    Phenotypic Complexity, Measurement Bias, and Poor Phenotypic Resolution Contribute to the Missing Heritability Problem in Genetic Association Studies

    Phenotypic Complexity, Measurement Bias, and Poor Phenotypic Resolution Contribute to the Missing Heritability Problem in Genetic Association Studies 由 Sophie van der Sluis, Matthijs Verhage, Daniëlle Posthuma, Conor V. Dolan

    出版 2010
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  8. 8
    Multilevel analysis quantifies variation in the experimental effect while optimizing power and preventing false positives

    Multilevel analysis quantifies variation in the experimental effect while optimizing power and preventing false positives 由 Emmeke Aarts, Conor V. Dolan, Matthijs Verhage, Sophie van der Sluis

    出版 2015
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  9. 9
    Measurement invariance within and between individuals: a distinct problem in testing the equivalence of intra- and inter-individual model structures

    Measurement invariance within and between individuals: a distinct problem in testing the equivalence of intra- and inter-individual model structures 由 Janne Adolf, Noémi Katalin Schuurman, Peter Borkenau, Denny Borsboom, Conor V. Dolan

    出版 2014
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  10. 10
    Gene–environment correlations across geographic regions affect genome-wide association studies

    Gene–environment correlations across geographic regions affect genome-wide association studies 由 Abdel Abdellaoui, Conor V. Dolan, Karin J. H. Verweij, Michel G. Nivard

    出版 2022
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  11. 11
    The Effectiveness of Online Cognitive Behavioral Treatment in Routine Clinical Practice

    The Effectiveness of Online Cognitive Behavioral Treatment in Routine Clinical Practice 由 Jeroen Ruwaard, Alfred Lange, Bart Schrieken, Conor V. Dolan, Paul M.G. Emmelkamp

    出版 2012
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  12. 12
    GWIS: Genome-Wide Inferred Statistics for Functions of Multiple Phenotypes

    GWIS: Genome-Wide Inferred Statistics for Functions of Multiple Phenotypes 由 Harold Nieuwboer, René Pool, Conor V. Dolan, Dorret I. Boomsma, Michel G. Nivard

    出版 2016
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  13. 13
    Paternal age and psychiatric disorders: A review

    Paternal age and psychiatric disorders: A review 由 Hilde de Kluiver, Jacobine E. Buizer‐Voskamp, Conor V. Dolan, Dorret I. Boomsma

    出版 2016
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  14. 14
    Long-Term Effects of Childhood Sexual Abuse

    Long-Term Effects of Childhood Sexual Abuse 由 ALFRED LANGE, Edwin de Beurs, Conor V. Dolan, Tanja Lachnit, Sandra Sjollema, Gerrit Hanewald

    出版 1999
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  15. 15
    Power in GWAS: lifting the curse of the clinical cut-off

    Power in GWAS: lifting the curse of the clinical cut-off 由 Sophie van der Sluis, Daniëlle Posthuma, Michel G. Nivard, Matthijs Verhage, Conor V. Dolan

    出版 2012
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  16. 16
    Sandwich corrected standard errors in family-based genome-wide association studies

    Sandwich corrected standard errors in family-based genome-wide association studies 由 Camelia C. Minică, Conor V. Dolan, Maarten M. Kampert, Dorret I. Boomsma, Jacqueline M. Vink

    出版 2014
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  17. 17
    GE Covariance Through Phenotype to Environment Transmission: An Assessment in Longitudinal Twin Data and Application to Childhood Anxiety

    GE Covariance Through Phenotype to Environment Transmission: An Assessment in Longitudinal Twin Data and Application to Childhood Anxiety 由 Conor V. Dolan, Johanna M. de Kort, C.E.M. van Beijsterveldt, Meike Bartels, Dorret I. Boomsma

    出版 2014
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  18. 18
    Extending Causality Tests with Genetic Instruments: An Integration of Mendelian Randomization with the Classical Twin Design

    Extending Causality Tests with Genetic Instruments: An Integration of Mendelian Randomization with the Classical Twin Design 由 Camelia C. Minică, Conor V. Dolan, Dorret I. Boomsma, Eco J. C. de Geus, Michael C. Neale

    出版 2018
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  19. 19
    MGAS: a powerful tool for multivariate gene-based genome-wide association analysis

    MGAS: a powerful tool for multivariate gene-based genome-wide association analysis 由 Sophie van der Sluis, Conor V. Dolan, Jiang Li, You‐Qiang Song, Pak C. Sham, Daniëlle Posthuma, Miaoxin Li

    出版 2014
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  20. 20
    Kinds<i>versus</i>continua: a review of psychometric approaches to uncover the structure of psychiatric constructs

    Kinds<i>versus</i>continua: a review of psychometric approaches to uncover the structure of psychiatric constructs 由 Denny Borsboom, Mijke Rhemtulla, Angélique O. J. Cramer, Han L. J. van der Maas, Marten Scheffer, Conor V. Dolan

    出版 2016
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