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 *

79 related articles for article (PubMed ID: 26760289)

  • 41. A mixture model with random-effects components for clustering correlated gene-expression profiles.
    Ng SK; McLachlan GJ; Wang K; Ben-Tovim Jones L; Ng SW
    Bioinformatics; 2006 Jul; 22(14):1745-52. PubMed ID: 16675467
    [TBL] [Abstract][Full Text] [Related]  

  • 42. A two-component model for counts of infectious diseases.
    Held L; Hofmann M; Höhle M; Schmid V
    Biostatistics; 2006 Jul; 7(3):422-37. PubMed ID: 16407470
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Markov chain Monte Carlo approach to parameter estimation in the FitzHugh-Nagumo model.
    Jensen AC; Ditlevsen S; Kessler M; Papaspiliopoulos O
    Phys Rev E Stat Nonlin Soft Matter Phys; 2012 Oct; 86(4 Pt 1):041114. PubMed ID: 23214536
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Longitudinal quantile regression in the presence of informative dropout through longitudinal-survival joint modeling.
    Farcomeni A; Viviani S
    Stat Med; 2015 Mar; 34(7):1199-213. PubMed ID: 25488110
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Is anoxic depolarisation associated with an ADC threshold? A Markov chain Monte Carlo analysis.
    King MD; Crowder MJ; Hand DJ; Harris NG; Williams SR; Obrenovitch TP; Gadian DG
    NMR Biomed; 2005 Dec; 18(8):587-94. PubMed ID: 16273507
    [TBL] [Abstract][Full Text] [Related]  

  • 46. A gradient Markov chain Monte Carlo algorithm for computing multivariate maximum likelihood estimates and posterior distributions: mixture dose-response assessment.
    Li R; Englehardt JD; Li X
    Risk Anal; 2012 Feb; 32(2):345-59. PubMed ID: 21906114
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Application of Bayesian inference using Gibbs sampling to item-response theory modeling of multi-symptom genetic data.
    Eaves L; Erkanli A; Silberg J; Angold A; Maes HH; Foley D
    Behav Genet; 2005 Nov; 35(6):765-80. PubMed ID: 16273316
    [TBL] [Abstract][Full Text] [Related]  

  • 48. An overview of Markov chain methods for the study of stage-sequential developmental processes.
    Kapland D
    Dev Psychol; 2008 Mar; 44(2):457-67. PubMed ID: 18331136
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Spatial correlation in Bayesian logistic regression with misclassification.
    Bihrmann K; Toft N; Nielsen SS; Ersbøll AK
    Spat Spatiotemporal Epidemiol; 2014 Jun; 9():1-12. PubMed ID: 24889989
    [TBL] [Abstract][Full Text] [Related]  

  • 50. A unified approach to the Richards-model family for use in growth analyses: why we need only two model forms.
    Tjørve E; Tjørve KM
    J Theor Biol; 2010 Dec; 267(3):417-25. PubMed ID: 20831877
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Fixed or random testlet effects: a comparison of two multilevel testlet models.
    Chen TA
    J Appl Meas; 2012; 13(3):231-47. PubMed ID: 23234827
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Bayesian nonparametric regression analysis of data with random effects covariates from longitudinal measurements.
    Ryu D; Li E; Mallick BK
    Biometrics; 2011 Jun; 67(2):454-66. PubMed ID: 20880012
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Piecewise latent growth models: beyond modeling linear-linear processes.
    Harring JR; Strazzeri MM; Blozis SA
    Behav Res Methods; 2021 Apr; 53(2):593-608. PubMed ID: 32779105
    [TBL] [Abstract][Full Text] [Related]  

  • 54. The Consequences of Ignoring Variability in Measurement Occasions Within Data Collection Waves in Latent Growth Models.
    Aydin B; Leite WL; Algina J
    Multivariate Behav Res; 2014; 49(2):149-60. PubMed ID: 26741174
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Multilevel time series models with applications to repeated measures data.
    Goldstein H; Healy MJ; Rasbash J
    Stat Med; 1994 Aug; 13(16):1643-55. PubMed ID: 7973240
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Relating Factor Models for Longitudinal Data to Quasi-Simplex and NARMA Models.
    Rovine MJ; Molenaar PC
    Multivariate Behav Res; 2005 Jan; 40(1):83-114. PubMed ID: 26822274
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Investigating Ceiling Effects in Longitudinal Data Analysis.
    Wang L; Zhang Z; McArdle JJ; Salthouse TA
    Multivariate Behav Res; 2009 Jul; 43(3):476-496. PubMed ID: 19924269
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Cluster Analysis as a Method of Recovering Types of Intraindividual Growth Trajectories: A Monte Carlo Study.
    Dumenci L; Windle M
    Multivariate Behav Res; 2001 Oct; 36(4):501-22. PubMed ID: 26822180
    [TBL] [Abstract][Full Text] [Related]  

  • 59. The Latent Variable-Autoregressive Latent Trajectory Model: A General Framework for Longitudinal Data Analysis.
    Bianconcini S; Bollen KA
    Struct Equ Modeling; 2018; 25(5):791-808. PubMed ID: 31293345
    [TBL] [Abstract][Full Text] [Related]  

  • 60. The Impact of Ignoring a Crossed Factor in Cross-Classified Multilevel Modeling.
    Kim S; Jeong Y; Hong S
    Front Psychol; 2021; 12():637645. PubMed ID: 33746856
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 4.