BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

342 related articles for article (PubMed ID: 9423267)

  • 41. Multilevel analysis of group-randomized trials with binary outcomes.
    Kim HY; Preisser JS; Rozier RG; Valiyaparambil JV
    Community Dent Oral Epidemiol; 2006 Aug; 34(4):241-51. PubMed ID: 16856945
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Conditional mixed models with crossed random effects.
    Tibaldi FS; Verbeke G; Molenberghs G; Renard D; Van den Noortgate W; de Boeck P
    Br J Math Stat Psychol; 2007 Nov; 60(Pt 2):351-65. PubMed ID: 17971274
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Marginalized binary mixed-effects models with covariate-dependent random effects and likelihood inference.
    Wang Z; Louis TA
    Biometrics; 2004 Dec; 60(4):884-91. PubMed ID: 15606408
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Analysis of longitudinal data with unmeasured confounders.
    Palta M; Yao TJ
    Biometrics; 1991 Dec; 47(4):1355-69. PubMed ID: 1786323
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Joint modeling of longitudinal and survival data via a common frailty.
    Ratcliffe SJ; Guo W; Ten Have TR
    Biometrics; 2004 Dec; 60(4):892-9. PubMed ID: 15606409
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Baseline adjustments for binary data in repeated cross-sectional cluster randomized trials.
    Nixon RM; Thompson SG
    Stat Med; 2003 Sep; 22(17):2673-92. PubMed ID: 12939779
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Comparing hierarchical modeling with traditional logistic regression analysis among patients hospitalized with acute myocardial infarction: should we be analyzing cardiovascular outcomes data differently?
    Austin PC; Tu JV; Alter DA
    Am Heart J; 2003 Jan; 145(1):27-35. PubMed ID: 12514651
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Pseudo cluster randomization: a treatment allocation method to minimize contamination and selection bias.
    Borm GF; Melis RJ; Teerenstra S; Peer PG
    Stat Med; 2005 Dec; 24(23):3535-47. PubMed ID: 16007575
    [TBL] [Abstract][Full Text] [Related]  

  • 49. REML and ML estimation for clustered grouped survival data.
    Lam KF; Ip D
    Stat Med; 2003 Jun; 22(12):2025-34. PubMed ID: 12802820
    [TBL] [Abstract][Full Text] [Related]  

  • 50. A case study on the choice, interpretation and checking of multilevel models for longitudinal binary outcomes.
    Carlin JB; Wolfe R; Brown CH; Gelman A
    Biostatistics; 2001 Dec; 2(4):397-416. PubMed ID: 12933632
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Comparison of one-step and two-step meta-analysis models using individual patient data.
    Mathew T; Nordström K
    Biom J; 2010 Apr; 52(2):271-87. PubMed ID: 20349448
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Marginal analysis of incomplete longitudinal binary data: a cautionary note on LOCF imputation.
    Cook RJ; Zeng L; Yi GY
    Biometrics; 2004 Sep; 60(3):820-8. PubMed ID: 15339307
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Marginalized random effects models for multivariate longitudinal binary data.
    Lee K; Joo Y; Yoo JK; Lee J
    Stat Med; 2009 Apr; 28(8):1284-300. PubMed ID: 19156673
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Truncated logistic regression.
    O'Neill TJ; Barry SC
    Biometrics; 1995 Jun; 51(2):533-41. PubMed ID: 7662842
    [TBL] [Abstract][Full Text] [Related]  

  • 55. A comparison of three different models for estimating relative risk in meta-analysis of clinical trials under unobserved heterogeneity.
    Kuhnert R; Böhning D
    Stat Med; 2007 May; 26(11):2277-96. PubMed ID: 16991109
    [TBL] [Abstract][Full Text] [Related]  

  • 56. An application of maximum likelihood and generalized estimating equations to the analysis of ordinal data from a longitudinal study with cases missing at random.
    Kenward MG; Lesaffre E; Molenberghs G
    Biometrics; 1994 Dec; 50(4):945-53. PubMed ID: 7787007
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Nested frailty models using maximum penalized likelihood estimation.
    Rondeau V; Filleul L; Joly P
    Stat Med; 2006 Dec; 25(23):4036-52. PubMed ID: 16463308
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Two-stage methods for the analysis of pooled data.
    Stukel TA; Demidenko E; Dykes J; Karagas MR
    Stat Med; 2001 Jul; 20(14):2115-30. PubMed ID: 11439425
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Analyzing multi-environment variety trials using randomization-derived mixed models.
    Caliński T; Czajka S; Kaczmarek Z; Krajewski P; Pilarczyk W
    Biometrics; 2005 Jun; 61(2):448-55. PubMed ID: 16011691
    [TBL] [Abstract][Full Text] [Related]  

  • 60. What can go wrong when ignoring correlation bounds in the use of generalized estimating equations.
    Sabo RT; Chaganty NR
    Stat Med; 2010 Oct; 29(24):2501-7. PubMed ID: 20690109
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 18.