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 *

121 related articles for article (PubMed ID: 36097102)

  • 21. Abstract: A Comparison of the Factor Mixture Model and Taxometric Procedures.
    Tueller S; Lubke G
    Multivariate Behav Res; 2008; 43(4):660. PubMed ID: 26771434
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Propensity score analysis methods with balancing constraints: A Monte Carlo study.
    Li Y; Li L
    Stat Methods Med Res; 2021 Apr; 30(4):1119-1142. PubMed ID: 33525962
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A Modified Hybrid Wald's Approximation Method for Efficient Covariate Selection in Population Pharmacokinetic Analysis.
    Zou Y; Tang F; Ng CM
    AAPS J; 2021 Mar; 23(2):37. PubMed ID: 33660056
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A comparative study on the unified model based multifactor dimensionality reduction methods for identifying gene-gene interactions associated with the survival phenotype.
    Lee JW; Lee S
    BioData Min; 2021 Mar; 14(1):17. PubMed ID: 33648540
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Performance of growth mixture models in the presence of time-varying covariates.
    Diallo TMO; Morin AJS; Lu H
    Behav Res Methods; 2017 Oct; 49(5):1951-1965. PubMed ID: 27800579
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Impact of model misspecification in shared frailty survival models.
    Gasparini A; Clements MS; Abrams KR; Crowther MJ
    Stat Med; 2019 Oct; 38(23):4477-4502. PubMed ID: 31328285
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Mixture class recovery in GMM under varying degrees of class separation: frequentist versus Bayesian estimation.
    Depaoli S
    Psychol Methods; 2013 Jun; 18(2):186-219. PubMed ID: 23527607
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Detecting Misspecified Multilevel Structural Equation Models with Common Fit Indices: A Monte Carlo Study.
    Hsu HY; Kwok OM; Lin JH; Acosta S
    Multivariate Behav Res; 2015; 50(2):197-215. PubMed ID: 26609878
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Implementing continuous non-normal skewed distributions in latent growth mixture modeling: An assessment of specification errors and class enumeration.
    Depaoli S; Winter SD; Lai K; Guerra-Peña K
    Multivariate Behav Res; 2019; 54(6):795-821. PubMed ID: 31012738
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Impact of an equality constraint on the class-specific residual variances in regression mixtures: A Monte Carlo simulation study.
    Kim M; Lamont AE; Jaki T; Feaster D; Howe G; Van Horn ML
    Behav Res Methods; 2016 Jun; 48(2):813-26. PubMed ID: 26139512
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Sample Size Requirements for Applying Mixed Polytomous Item Response Models: Results of a Monte Carlo Simulation Study.
    Kutscher T; Eid M; Crayen C
    Front Psychol; 2019; 10():2494. PubMed ID: 31798490
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Effect of correlation on covariate selection in linear and nonlinear mixed effect models.
    Bonate PL
    Pharm Stat; 2017 Jan; 16(1):45-54. PubMed ID: 27580760
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Mind the gap: covariate constrained randomisation can protect against substantial power loss in parallel cluster randomised trials.
    Kristunas C; Grayling M; Gray LJ; Hemming K
    BMC Med Res Methodol; 2022 Apr; 22(1):111. PubMed ID: 35413793
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Design of pharmacokinetic studies for latent covariates.
    Lagishetty CV; Coulter CV; Duffull SB
    J Pharmacokinet Pharmacodyn; 2012 Feb; 39(1):87-97. PubMed ID: 22161222
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Identification of developmental trajectory classes: Comparing three latent class methods using simulated and real data.
    Sijbrandij JJ; Hoekstra T; Almansa J; Reijneveld SA; Bültmann U
    Adv Life Course Res; 2019 Dec; 42():100288. PubMed ID: 36732968
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Effect Estimation in Point-Exposure Studies with Binary Outcomes and High-Dimensional Covariate Data - A Comparison of Targeted Maximum Likelihood Estimation and Inverse Probability of Treatment Weighting.
    Pang M; Schuster T; Filion KB; Schnitzer ME; Eberg M; Platt RW
    Int J Biostat; 2016 Nov; 12(2):. PubMed ID: 27889705
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A reduction in between subject variability is not mandatory for selecting a new covariate.
    Lagishetty CV; Vajjah P; Duffull SB
    J Pharmacokinet Pharmacodyn; 2012 Aug; 39(4):383-92. PubMed ID: 22767340
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Evaluating fit indices in a multilevel latent growth curve model: A Monte Carlo study.
    Hsu HY; Lin JJH; Skidmore ST; Kim M
    Behav Res Methods; 2019 Feb; 51(1):172-194. PubMed ID: 30536150
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Testing for change-point in the covariate effects based on the Cox regression model.
    Lee CY; Chen X; Lam KF
    Stat Med; 2020 May; 39(10):1473-1488. PubMed ID: 32034921
    [TBL] [Abstract][Full Text] [Related]  

  • 40. The Comparison of Latent Variable Propensity Score Models to Traditional Propensity Score Models under Conditions of Covariate Unreliability.
    Whittaker TA
    Multivariate Behav Res; 2020; 55(4):625-646. PubMed ID: 31530179
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.