Showing 1 - 10 results of 10 for search 'Veronica J Vieland', query time: 0.04s Refine Results
  1. 1
    Employing MCMC under the PPL framework to analyze sequence data in large pedigrees

    Employing MCMC under the PPL framework to analyze sequence data in large pedigrees by Yungui eHuang, Alun eThomas, Veronica J. Vieland, Veronica J. Vieland

    Published 2013-04-01
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  2. 2
    The PPLD has advantages over conventional regression methods in application to moderately sized genome-wide association studies.

    The PPLD has advantages over conventional regression methods in application to moderately sized genome-wide association studies. by Veronica J Vieland, Sang-Cheol Seok

    Published 2021-01-01
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  3. 3
    Information Loss in Binomial Data Due to Data Compression

    Information Loss in Binomial Data Due to Data Compression by Susan E. Hodge, Veronica J. Vieland

    Published 2017-02-01
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  4. 4
    Statistical Evidence Measured on a Properly Calibrated Scale across Nested and Non-nested Hypothesis Comparisons

    Statistical Evidence Measured on a Properly Calibrated Scale across Nested and Non-nested Hypothesis Comparisons by Veronica J. Vieland, Sang-Cheol Seok

    Published 2015-07-01
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  5. 5
    The effect of ascertainment on penetrance estimates for rare variants: Implications for establishing pathogenicity and for genetic counselling.

    The effect of ascertainment on penetrance estimates for rare variants: Implications for establishing pathogenicity and for genetic counselling. by Andrew D Paterson, Sang-Cheol Seok, Veronica J Vieland

    Published 2023-01-01
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  6. 6
    The effect of ascertainment on penetrance estimates for rare variants: Implications for establishing pathogenicity and for genetic counselling

    The effect of ascertainment on penetrance estimates for rare variants: Implications for establishing pathogenicity and for genetic counselling by Andrew D. Paterson, Sang-Cheol Seok, Veronica J. Vieland

    Published 2023-01-01
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  7. 7
    A new linear regression-like residual for survival analysis, with application to genome wide association studies of time-to-event data.

    A new linear regression-like residual for survival analysis, with application to genome wide association studies of time-to-event data. by Veronica J Vieland, Sang-Cheol Seok, William C L Stewart

    Published 2020-01-01
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  8. 8
    Meta-analysis of repository data: impact of data regularization on NIMH schizophrenia linkage results.

    Meta-analysis of repository data: impact of data regularization on NIMH schizophrenia linkage results. by Kimberly A Walters, Yungui Huang, Marco Azaro, Kathleen Tobin, Thomas Lehner, Linda M Brzustowicz, Veronica J Vieland

    Published 2014-01-01
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  9. 9
    In silico modeling of Itk activation kinetics in thymocytes suggests competing positive and negative IP4 mediated feedbacks increase robustness.

    In silico modeling of Itk activation kinetics in thymocytes suggests competing positive and negative IP4 mediated feedbacks increase robustness. by Sayak Mukherjee, Stephanie Rigaud, Sang-Cheol Seok, Guo Fu, Agnieszka Prochenka, Michael Dworkin, Nicholas R J Gascoigne, Veronica J Vieland, Karsten Sauer, Jayajit Das

    Published 2013-01-01
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  10. 10
    Correction: Modeling of Itk Activation Kinetics in Thymocytes Suggests Competing Positive and Negative IP Mediated Feedbacks Increase Robustness.

    Correction: Modeling of Itk Activation Kinetics in Thymocytes Suggests Competing Positive and Negative IP Mediated Feedbacks Increase Robustness. by Sayak Mukherjee, Stephanie Rigaud, Sang-Cheol Seok, Guo Fu, Agnieszka Prochenka, Michael Dworkin, Nicholas R. J. Gascoigne, Veronica J. Vieland, Karsten Sauer, Jayajit Das

    Published 2014-01-01
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