BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

110 related articles for article (PubMed ID: 22357157)

  • 1. Comparability of item quality indices from sparse data matrices with random and non-random missing data patterns.
    Wolfe EW; McGill MT
    J Appl Meas; 2011; 12(4):358-69. PubMed ID: 22357157
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Detecting differential item functioning with five standardized item-fit indices in the Rasch model.
    Seol H
    J Outcome Meas; 1999; 3(3):233-47. PubMed ID: 10431491
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Fit analysis in latent trait measurement models.
    Smith RM
    J Appl Meas; 2000; 1(2):199-218. PubMed ID: 12029178
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Handling missing responses in generalized linear mixed model without specifying missing mechanism.
    Zhang H; Paik MC
    J Biopharm Stat; 2009 Nov; 19(6):1001-17. PubMed ID: 20183461
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Impact of altering randomization intervals on precision of measurement and item exposure.
    Muckle T; Bergstrom B; Becker K; Stahl J
    J Appl Meas; 2008; 9(2):160-7. PubMed ID: 18480512
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Meta-analysis of the Italian studies on short-term effects of air pollution].
    Biggeri A; Bellini P; Terracini B;
    Epidemiol Prev; 2001; 25(2 Suppl):1-71. PubMed ID: 11515188
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Methods for addressing missing data in psychiatric and developmental research.
    Croy CD; Novins DK
    J Am Acad Child Adolesc Psychiatry; 2005 Dec; 44(12):1230-40. PubMed ID: 16292114
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The influence of missing value imputation on detection of differentially expressed genes from microarray data.
    Scheel I; Aldrin M; Glad IK; Sørum R; Lyng H; Frigessi A
    Bioinformatics; 2005 Dec; 21(23):4272-9. PubMed ID: 16216830
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Extensions of the penalized spline of propensity prediction method of imputation.
    Zhang G; Little R
    Biometrics; 2009 Sep; 65(3):911-8. PubMed ID: 19053998
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Testing multivariate mean collinearity via latent variable modelling.
    Raykov T; Penev S
    Br J Math Stat Psychol; 2010 Nov; 63(Pt 3):481-90. PubMed ID: 19840492
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Simultaneous inference and bias analysis for longitudinal data with covariate measurement error and missing responses.
    Yi GY; Liu W; Wu L
    Biometrics; 2011 Mar; 67(1):67-75. PubMed ID: 20528858
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluating model fit for growth curve models: Integration of fit indices from SEM and MLM frameworks.
    Wu W; West SG; Taylor AB
    Psychol Methods; 2009 Sep; 14(3):183-201. PubMed ID: 19719357
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identifying measurement disturbance effects using Rasch item fit statistics and the Logit Residual Index.
    Mount RE; Schumacker RE
    J Outcome Meas; 1998; 2(4):338-50. PubMed ID: 9803719
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Missing data mechanisms in a dose-finding adaptive trial.
    Liu K; Entsuah R
    J Biopharm Stat; 2012; 22(2):329-37. PubMed ID: 22251177
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Analysis of non-ignorable missing and left-censored longitudinal data using a weighted random effects tobit model.
    Sattar A; Weissfeld LA; Molenberghs G
    Stat Med; 2011 Nov; 30(27):3167-80. PubMed ID: 21898524
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Impact of missing data on type 1 error rates in non-inferiority trials.
    Yoo B
    Pharm Stat; 2010; 9(2):87-99. PubMed ID: 19408241
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Parametric and semiparametric model-based estimates of the finite population mean for two-stage cluster samples with item nonresponse.
    Yuan Y; Little RJ
    Biometrics; 2007 Dec; 63(4):1172-80. PubMed ID: 17489967
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A practical approach to computing power for generalized linear models with nominal, count, or ordinal responses.
    Lyles RH; Lin HM; Williamson JM
    Stat Med; 2007 Mar; 26(7):1632-48. PubMed ID: 16817148
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Radical instability and spurious branch support by likelihood when applied to matrices with non-random distributions of missing data.
    Simmons MP
    Mol Phylogenet Evol; 2012 Jan; 62(1):472-84. PubMed ID: 22067131
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Marginal likelihood inference for a model for item responses and response times.
    Glas CA; van der Linden WJ
    Br J Math Stat Psychol; 2010 Nov; 63(Pt 3):603-26. PubMed ID: 20109271
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.