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 *

315 related articles for article (PubMed ID: 26012353)

  • 41. Application of robust estimating equations to the analysis of quantitative longitudinal data.
    Hu M; Lachin JM
    Stat Med; 2001 Nov; 20(22):3411-28. PubMed ID: 11746326
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Pseudo-likelihood methods for longitudinal binary data with non-ignorable missing responses and covariates.
    Parzen M; Lipsitz SR; Fitzmaurice GM; Ibrahim JG; Troxel A
    Stat Med; 2006 Aug; 25(16):2784-96. PubMed ID: 16345018
    [TBL] [Abstract][Full Text] [Related]  

  • 43. 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]  

  • 44. Inference methods for saturated models in longitudinal clinical trials with incomplete binary data.
    Song JX
    Pharm Stat; 2006; 5(4):295-304. PubMed ID: 17128429
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Bayesian quantile regression-based nonlinear mixed-effects joint models for time-to-event and longitudinal data with multiple features.
    Huang Y; Chen J
    Stat Med; 2016 Dec; 35(30):5666-5685. PubMed ID: 27592848
    [TBL] [Abstract][Full Text] [Related]  

  • 46. A longitudinal measurement error model with a semicontinuous covariate.
    Li L; Shao J; Palta M
    Biometrics; 2005 Sep; 61(3):824-30. PubMed ID: 16135034
    [TBL] [Abstract][Full Text] [Related]  

  • 47. 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]  

  • 48. Partly conditional survival models for longitudinal data.
    Zheng Y; Heagerty PJ
    Biometrics; 2005 Jun; 61(2):379-91. PubMed ID: 16011684
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Regression analysis of longitudinal data with irregular and informative observation times.
    Chen Y; Ning J; Cai C
    Biostatistics; 2015 Oct; 16(4):727-39. PubMed ID: 25813646
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Accounting for covariate measurement error in a Cox model analysis of recurrence of depression.
    Liu K; Mazumdar S; Stone RA; Dew MA; Houck PR; Reynolds CF
    J Psychiatr Res; 2001; 35(3):177-85. PubMed ID: 11461714
    [TBL] [Abstract][Full Text] [Related]  

  • 51. All your data are always missing: incorporating bias due to measurement error into the potential outcomes framework.
    Edwards JK; Cole SR; Westreich D
    Int J Epidemiol; 2015 Aug; 44(4):1452-9. PubMed ID: 25921223
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Efficient quantile marginal regression for longitudinal data with dropouts.
    Cho H; Hong HG; Kim MO
    Biostatistics; 2016 Jul; 17(3):561-75. PubMed ID: 26951723
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Constrained empirical-likelihood confidence regions in nonignorable covariate-missing data problems.
    Xie Y; Zhang B
    Stat Med; 2019 Feb; 38(3):452-479. PubMed ID: 30311246
    [TBL] [Abstract][Full Text] [Related]  

  • 54. 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]  

  • 55. Estimating equations with nonignorably missing response data.
    Wang YG
    Biometrics; 1999 Sep; 55(3):984-9. PubMed ID: 11315039
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Penalized generalized estimating equations for high-dimensional longitudinal data analysis.
    Wang L; Zhou J; Qu A
    Biometrics; 2012 Jun; 68(2):353-60. PubMed ID: 21955051
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Dealing with missing outcome data in randomized trials and observational studies.
    Groenwold RH; Donders AR; Roes KC; Harrell FE; Moons KG
    Am J Epidemiol; 2012 Feb; 175(3):210-7. PubMed ID: 22262640
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Generalized estimating equations for ordinal categorical data: arbitrary patterns of missing responses and missingness in a key covariate.
    Toledano AY; Gatsonis C
    Biometrics; 1999 Jun; 55(2):488-96. PubMed ID: 11318205
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Criterion for the simultaneous selection of a working correlation structure and either generalized estimating equations or the quadratic inference function approach.
    Westgate PM
    Biom J; 2014 May; 56(3):461-76. PubMed ID: 24431030
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Quadratic inference functions in marginal models for longitudinal data.
    Song PX; Jiang Z; Park E; Qu A
    Stat Med; 2009 Dec; 28(29):3683-96. PubMed ID: 19757486
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 16.