Connection

DAVID ALLISON to Computer Simulation

This is a "connection" page, showing publications DAVID ALLISON has written about Computer Simulation.
Connection Strength

2.055
  1. Murine genetic models of obesity: type I error rates and the power of commonly used analyses as assessed by plasmode-based simulation. Int J Obes (Lond). 2020 06; 44(6):1440-1449.
    View in: PubMed
    Score: 0.523
  2. BMI and risk of serious upper body injury following motor vehicle crashes: concordance of real-world and computer-simulated observations. PLoS Med. 2010 Mar 30; 7(3):e1000250.
    View in: PubMed
    Score: 0.263
  3. Empirical bayes method for incorporating data from multiple genome scans. Hum Hered. 2005; 60(1):36-42.
    View in: PubMed
    Score: 0.191
  4. Evaluation of the type I error rate when using parametric bootstrap analysis of a cluster randomized controlled trial with binary outcomes and a small number of clusters. Comput Methods Programs Biomed. 2022 Mar; 215:106654.
    View in: PubMed
    Score: 0.149
  5. Childhood obesity as a risk factor for bone fracture: a mechanistic study. Obesity (Silver Spring). 2013 Jul; 21(7):1459-66.
    View in: PubMed
    Score: 0.082
  6. A novel generalized normal distribution for human longevity and other negatively skewed data. PLoS One. 2012; 7(5):e37025.
    View in: PubMed
    Score: 0.076
  7. Rank-based inverse normal transformations are increasingly used, but are they merited? Behav Genet. 2009 Sep; 39(5):580-95.
    View in: PubMed
    Score: 0.062
  8. The effect of assortative mating upon genetic association studies: spurious associations and population substructure in the absence of admixture. Behav Genet. 2006 Sep; 36(5):678-86.
    View in: PubMed
    Score: 0.051
  9. Regional admixture mapping and structured association testing: conceptual unification and an extensible general linear model. PLoS Genet. 2006 Aug 25; 2(8):e137.
    View in: PubMed
    Score: 0.051
  10. The PowerAtlas: a power and sample size atlas for microarray experimental design and research. BMC Bioinformatics. 2006 Feb 22; 7:84.
    View in: PubMed
    Score: 0.050
  11. A proposed metric for assessing the measurement quality of individual microarrays. BMC Bioinformatics. 2006 Jan 23; 7:35.
    View in: PubMed
    Score: 0.049
  12. Microarray data analysis: from disarray to consolidation and consensus. Nat Rev Genet. 2006 Jan; 7(1):55-65.
    View in: PubMed
    Score: 0.049
  13. New joint covariance- and marginal-based tests for association and linkage for quantitative traits for random and non-random sampling. Genet Epidemiol. 2005 Jan; 28(1):48-57.
    View in: PubMed
    Score: 0.046
  14. Joint tests for quantitative trait loci in experimental crosses. Genet Sel Evol. 2004 Nov-Dec; 36(6):601-19.
    View in: PubMed
    Score: 0.045
  15. A simple significance test for quantile regression. Stat Med. 2004 Aug 30; 23(16):2587-97.
    View in: PubMed
    Score: 0.045
  16. A Bayesian semi-parametric scalar-on-function regression with measurement error using instrumental variables. Stat Med. 2024 09 20; 43(21):4043-4054.
    View in: PubMed
    Score: 0.044
  17. Bayesian model choice and search strategies for mapping interacting quantitative trait Loci. Genetics. 2003 Oct; 165(2):867-83.
    View in: PubMed
    Score: 0.042
  18. Stochastic search variable selection for identifying multiple quantitative trait loci. Genetics. 2003 Jul; 164(3):1129-38.
    View in: PubMed
    Score: 0.041
  19. Estimation of sparse functional quantile regression with measurement error: a SIMEX approach. Biostatistics. 2022 10 14; 23(4):1218-1241.
    View in: PubMed
    Score: 0.039
  20. Bias in estimates of quantitative-trait-locus effect in genome scans: demonstration of the phenomenon and a method-of-moments procedure for reducing bias. Am J Hum Genet. 2002 Mar; 70(3):575-85.
    View in: PubMed
    Score: 0.037
  21. Empirical versus theoretical power and type I error (false-positive) rates estimated from real murine aging research data. Cell Rep. 2021 08 17; 36(7):109560.
    View in: PubMed
    Score: 0.036
  22. Instrumental variable approach to estimating the scalar-on-function regression model with measurement error with application to energy expenditure assessment in childhood obesity. Stat Med. 2019 09 10; 38(20):3764-3781.
    View in: PubMed
    Score: 0.031
  23. A computational study of injury severity and pattern sustained by overweight drivers in frontal motor vehicle crashes. Comput Methods Biomech Biomed Engin. 2014; 17(9):965-77.
    View in: PubMed
    Score: 0.020
  24. Weighted multiple hypothesis testing procedures. Stat Appl Genet Mol Biol. 2009; 8:Article23.
    View in: PubMed
    Score: 0.015
  25. Haplotyping methods for pedigrees. Hum Hered. 2009; 67(4):248-66.
    View in: PubMed
    Score: 0.015
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.