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 *

84 related articles for article (PubMed ID: 22522378)

  • 1. Competing regression models for longitudinal data.
    Alencar AP; Singer JM; Rocha FM
    Biom J; 2012 Mar; 54(2):214-29. PubMed ID: 22522378
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Residual analysis for linear mixed models.
    Nobre JS; da Motta Singer J
    Biom J; 2007 Dec; 49(6):863-75. PubMed ID: 17638292
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Efficient parameter estimation in longitudinal data analysis using a hybrid GEE method.
    Leung DH; Wang YG; Zhu M
    Biostatistics; 2009 Jul; 10(3):436-45. PubMed ID: 19346528
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A comparison of several approaches for choosing between working correlation structures in generalized estimating equation analysis of longitudinal binary data.
    Shults J; Sun W; Tu X; Kim H; Amsterdam J; Hilbe JM; Ten-Have T
    Stat Med; 2009 Aug; 28(18):2338-55. PubMed ID: 19472307
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Performance of generalized estimating equations in practical situations.
    Lipsitz SR; Fitzmaurice GM; Orav EJ; Laird NM
    Biometrics; 1994 Mar; 50(1):270-8. PubMed ID: 8086610
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A note on fitting a marginal model to mixed effects log-linear regression data via GEE.
    Grömping U
    Biometrics; 1996 Mar; 52(1):280-5. PubMed ID: 8934596
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The use of GEE for analyzing longitudinal binomial data: a primer using data from a tobacco intervention.
    Lee JH; Herzog TA; Meade CD; Webb MS; Brandon TH
    Addict Behav; 2007 Jan; 32(1):187-93. PubMed ID: 16650625
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The impact of dichotomization in longitudinal data analysis: a simulation study.
    Yoo B
    Pharm Stat; 2010; 9(4):298-312. PubMed ID: 19904810
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Testing for misspecification in generalized linear mixed models.
    Abad AA; Litière S; Molenberghs G
    Biostatistics; 2010 Oct; 11(4):771-86. PubMed ID: 20407039
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of methods for analyzing longitudinal binary outcomes: cognitive status as an example.
    Kuchibhatla M; Fillenbaum GG
    Aging Ment Health; 2003 Nov; 7(6):462-8. PubMed ID: 14578008
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Roaming through methodology. XXII. Application of techniques for longitudinal data analysis].
    Twisk JW; de Vente W
    Ned Tijdschr Geneeskd; 2000 Aug; 144(35):1680-3. PubMed ID: 10981236
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Statistical analysis of randomized trials in tobacco treatment: longitudinal designs with dichotomous outcome.
    Hall SM; Delucchi KL; Velicer WF; Kahler CW; Ranger-Moore J; Hedeker D; Tsoh JY; Niaura R
    Nicotine Tob Res; 2001 Aug; 3(3):193-202. PubMed ID: 11506764
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Influence measures based on the volume of confidence ellipsoids for GEE.
    Pardo MC; Alonso R
    Biom J; 2012 Jul; 54(4):552-67. PubMed ID: 22623340
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Inference for marginal linear models for clustered longitudinal data with potentially informative cluster sizes.
    Wang M; Kong M; Datta S
    Stat Methods Med Res; 2011 Aug; 20(4):347-67. PubMed ID: 20223781
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Models for longitudinal data: a generalized estimating equation approach.
    Zeger SL; Liang KY; Albert PS
    Biometrics; 1988 Dec; 44(4):1049-60. PubMed ID: 3233245
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Analysis of longitudinal binary data with missing data due to dropouts.
    Ali MW; Talukder E
    J Biopharm Stat; 2005; 15(6):993-1007. PubMed ID: 16279357
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Variable selection for marginal longitudinal generalized linear models.
    Cantoni E; Flemming JM; Ronchetti E
    Biometrics; 2005 Jun; 61(2):507-14. PubMed ID: 16011698
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Analyzing longitudinal data with the linear mixed models procedure in SPSS.
    West BT
    Eval Health Prof; 2009 Sep; 32(3):207-28. PubMed ID: 19679634
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Generalized linear mixture models for handling nonignorable dropouts in longitudinal studies.
    Fitzmaurice GM; Laird NM
    Biostatistics; 2000 Jun; 1(2):141-56. PubMed ID: 12933516
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Performance of weighted estimating equations for longitudinal binary data with drop-outs missing at random.
    Preisser JS; Lohman KK; Rathouz PJ
    Stat Med; 2002 Oct; 21(20):3035-54. PubMed ID: 12369080
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.