BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

206 related articles for article (PubMed ID: 28574592)

  • 41. Bayesian bivariate meta-analysis of diagnostic test studies with interpretable priors.
    Guo J; Riebler A; Rue H
    Stat Med; 2017 Aug; 36(19):3039-3058. PubMed ID: 28474394
    [TBL] [Abstract][Full Text] [Related]  

  • 42. A scalable approach to measuring the impact of nonignorable nonresponse with an EMA application.
    Gao W; Hedeker D; Mermelstein R; Xie H
    Stat Med; 2016 Dec; 35(30):5579-5602. PubMed ID: 27538504
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Bias reduction and a solution for separation of logistic regression with missing covariates.
    Maiti T; Pradhan V
    Biometrics; 2009 Dec; 65(4):1262-9. PubMed ID: 19432786
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Learning About Missing Data Mechanisms in Electronic Health Records-based Research: A Survey-based Approach.
    Haneuse S; Bogart A; Jazic I; Westbrook EO; Boudreau D; Theis MK; Simon GE; Arterburn D
    Epidemiology; 2016 Jan; 27(1):82-90. PubMed ID: 26484425
    [TBL] [Abstract][Full Text] [Related]  

  • 45. A Bayesian analysis of mixture structural equation models with non-ignorable missing responses and covariates.
    Cai JH; Song XY; Hser YI
    Stat Med; 2010 Aug; 29(18):1861-74. PubMed ID: 20680980
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Bayesian non-response models for categorical data from small areas: an application to BMD and age.
    Nandram B; Liu N; Choi JW; Cox L
    Stat Med; 2005 Apr; 24(7):1047-74. PubMed ID: 15565730
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Bayesian adjustment for covariate measurement errors: a flexible parametric approach.
    Hossain S; Gustafson P
    Stat Med; 2009 May; 28(11):1580-600. PubMed ID: 19226564
    [TBL] [Abstract][Full Text] [Related]  

  • 48. A shared random effect parameter approach for longitudinal dementia data with non-ignorable missing data.
    Gao S
    Stat Med; 2004 Jan; 23(2):211-9. PubMed ID: 14716723
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Statistical Modeling of Longitudinal Data with Non-ignorable Non-monotone Missingness with Semiparametric Bayesian and Machine Learning Components.
    Cao Y; Mukhopadhyay ND
    Sankhya B (2008); 2021 May; 83(1):152-169. PubMed ID: 34149235
    [TBL] [Abstract][Full Text] [Related]  

  • 50. A Bayesian approach to a logistic regression model with incomplete information.
    Choi T; Schervish MJ; Schmitt KA; Small MJ
    Biometrics; 2008 Jun; 64(2):424-30. PubMed ID: 17764482
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Analysis of matched case-control data in presence of nonignorable missing exposure.
    Sinha S; Maiti T
    Biometrics; 2008 Mar; 64(1):106-14. PubMed ID: 17573865
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Marginalized transition models for longitudinal binary data with ignorable and non-ignorable drop-out.
    Kurland BF; Heagerty PJ
    Stat Med; 2004 Sep; 23(17):2673-95. PubMed ID: 15316952
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Exact two-sample inference with missing data.
    Cheung YK
    Biometrics; 2005 Jun; 61(2):524-31. PubMed ID: 16011700
    [TBL] [Abstract][Full Text] [Related]  

  • 54. A note on the bias of estimators with missing data.
    Rotnitzky A; Wypij D
    Biometrics; 1994 Dec; 50(4):1163-70. PubMed ID: 7786998
    [TBL] [Abstract][Full Text] [Related]  

  • 55. A Bayesian analysis of a proportion under non-ignorable non-response.
    Nandram B; Choi JW
    Stat Med; 2002 May; 21(9):1189-212. PubMed ID: 12111874
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Can the Use of Bayesian Analysis Methods Correct for Incompleteness in Electronic Health Records Diagnosis Data? Development of a Novel Method Using Simulated and Real-Life Clinical Data.
    Ford E; Rooney P; Hurley P; Oliver S; Bremner S; Cassell J
    Front Public Health; 2020; 8():54. PubMed ID: 32211363
    [No Abstract]   [Full Text] [Related]  

  • 57. Sensitivity analysis for the estimation of rates of change with non-ignorable drop-out: an application to a randomized clinical trial of the vitamin D3.
    Matsuyama Y
    Stat Med; 2003 Mar; 22(5):811-27. PubMed ID: 12587107
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Complete case logistic regression with a dichotomised continuous outcome led to biased estimates.
    Cornish RP; Bartlett JW; Macleod J; Tilling K
    J Clin Epidemiol; 2023 Feb; 154():33-41. PubMed ID: 36464232
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Adjusting for nonignorable missingness when estimating generalized additive models.
    Xie H
    Biom J; 2010 Apr; 52(2):186-200. PubMed ID: 20422637
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Continuous(ly) missing outcome data in network meta-analysis: A one-stage pattern-mixture model approach.
    Spineli LM; Kalyvas C; Papadimitropoulou K
    Stat Methods Med Res; 2021 Apr; 30(4):958-975. PubMed ID: 33406990
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.