These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

111 related articles for article (PubMed ID: 7662834)

  • 1. Inference for the association between coefficients in a multivariate growth curve model.
    Zucker DM; Zerbe GO; Wu MC
    Biometrics; 1995 Jun; 51(2):413-24. PubMed ID: 7662834
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Causal nonresponse models for repeated categorical measurements.
    Conaway MR
    Biometrics; 1994 Dec; 50(4):1102-16. PubMed ID: 7786991
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Regression analysis of overdispersed correlated count data with subject specific covariates.
    Solis-Trapala IL; Farewell VT
    Stat Med; 2005 Aug; 24(16):2557-75. PubMed ID: 15977293
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Squeezing interval change from ordinal panel data: latent growth curves with ordinal outcomes.
    Mehta PD; Neale MC; Flay BR
    Psychol Methods; 2004 Sep; 9(3):301-33. PubMed ID: 15355151
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Simple fitting of subject-specific curves for longitudinal data.
    Durbán M; Harezlak J; Wand MP; Carroll RJ
    Stat Med; 2005 Apr; 24(8):1153-67. PubMed ID: 15568201
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Growth and long-term lung function in cystic fibrosis: a longitudinal study of patients diagnosed by neonatal screening.
    Assael BM; Casazza G; Iansa P; Volpi S; Milani S
    Pediatr Pulmonol; 2009 Mar; 44(3):209-15. PubMed ID: 19230003
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The proportional odds model for multivariate interval-censored failure time data.
    Chen MH; Tong X; Sun J
    Stat Med; 2007 Dec; 26(28):5147-61. PubMed ID: 17476643
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Error in timing in regression with observed longitudinal measurements.
    Wang CY; Huang Y
    Stat Med; 2003 Aug; 22(16):2577-90. PubMed ID: 12898545
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Improving the estimation of change from baseline in a continuous outcome measure in the clinical trial setting.
    Mayer-Hamblett N; Kronmal RA
    Contemp Clin Trials; 2005 Feb; 26(1):2-16. PubMed ID: 15837448
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bayesian analysis of a multivariate null intercept errors-in-variables regression model.
    Aoki R; Bolfarine H; Achcar JA; Dorival LP
    J Biopharm Stat; 2003 Nov; 13(4):767-75. PubMed ID: 14584721
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Individual growth curve models for assessing evidence-based referral criteria in growth monitoring.
    van Dommelen P; van Buuren S; Zandwijken GR; Verkerk PH
    Stat Med; 2005 Dec; 24(23):3663-74. PubMed ID: 15981295
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Extended follow-up and spatial analysis of the American Cancer Society study linking particulate air pollution and mortality.
    Krewski D; Jerrett M; Burnett RT; Ma R; Hughes E; Shi Y; Turner MC; Pope CA; Thurston G; Calle EE; Thun MJ; Beckerman B; DeLuca P; Finkelstein N; Ito K; Moore DK; Newbold KB; Ramsay T; Ross Z; Shin H; Tempalski B
    Res Rep Health Eff Inst; 2009 May; (140):5-114; discussion 115-36. PubMed ID: 19627030
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Generalized linear latent variable models for repeated measures of spatially correlated multivariate data.
    Zhu J; Eickhoff JC; Yan P
    Biometrics; 2005 Sep; 61(3):674-83. PubMed ID: 16135018
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Analysing incomplete longitudinal binary responses: a likelihood-based approach.
    Fitzmaurice GM; Laird NM; Lipsitz SR
    Biometrics; 1994 Sep; 50(3):601-12. PubMed ID: 7981387
    [TBL] [Abstract][Full Text] [Related]  

  • 15. On the analysis of mixed longitudinal growth data.
    Huggins RM; Loesch DZ
    Biometrics; 1998 Jun; 54(2):583-95. PubMed ID: 9660630
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An introduction to latent growth curve modelling for longitudinal continuous data in dental research.
    Tu YK; D'Aiuto F; Baelum V; Gilthorpe MS
    Eur J Oral Sci; 2009 Aug; 117(4):343-50. PubMed ID: 19627343
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A new approach to modelling interactions between treatment and continuous covariates in clinical trials by using fractional polynomials.
    Royston P; Sauerbrei W
    Stat Med; 2004 Aug; 23(16):2509-25. PubMed ID: 15287081
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Sequential monitoring for comparison of changes in a response variable in clinical studies.
    Wu MC; Lan KK
    Biometrics; 1992 Sep; 48(3):765-79. PubMed ID: 1420840
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Joint models for multivariate longitudinal and multivariate survival data.
    Chi YY; Ibrahim JG
    Biometrics; 2006 Jun; 62(2):432-45. PubMed ID: 16918907
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Empirical Bayes estimation of individual growth-curve parameters and their relationship to covariates.
    Strenio JF; Weisberg HI; Bryk AS
    Biometrics; 1983 Mar; 39(1):71-86. PubMed ID: 6871364
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.