BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

143 related articles for article (PubMed ID: 37170004)

  • 1. Investigating the relationship between the Bayes factor and the separation of credible intervals.
    Wei Z; Nathoo FS; Masson MEJ
    Psychon Bull Rev; 2023 Oct; 30(5):1759-1781. PubMed ID: 37170004
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Sample Size Requirements for Calibrated Approximate Credible Intervals for Proportions in Clinical Trials.
    De Santis F; Gubbiotti S
    Int J Environ Res Public Health; 2021 Jan; 18(2):. PubMed ID: 33445651
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The evidence interval and the Bayesian evidence value: On a unified theory for Bayesian hypothesis testing and interval estimation.
    Kelter R
    Br J Math Stat Psychol; 2022 Nov; 75(3):550-592. PubMed ID: 36200811
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective.
    Kruschke JK; Liddell TM
    Psychon Bull Rev; 2018 Feb; 25(1):178-206. PubMed ID: 28176294
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Bayesian design of single-arm phase II clinical trials with continuous monitoring.
    Johnson VE; Cook JD
    Clin Trials; 2009 Jun; 6(3):217-26. PubMed ID: 19528131
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bayesian consensus-based sample size criteria for binomial proportions.
    Joseph L; Bélisle P
    Stat Med; 2019 Oct; 38(23):4566-4573. PubMed ID: 31297825
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Real-time estimation and forecasting of COVID-19 cases and hospitalizations in Wisconsin HERC regions for public health decision making processes.
    Aravamuthan S; Mandujano Reyes JF; Yandell BS; Döpfer D
    BMC Public Health; 2023 Feb; 23(1):359. PubMed ID: 36803324
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Understanding and interpreting confidence and credible intervals around effect estimates.
    Hespanhol L; Vallio CS; Costa LM; Saragiotto BT
    Braz J Phys Ther; 2019; 23(4):290-301. PubMed ID: 30638956
    [TBL] [Abstract][Full Text] [Related]  

  • 9. When significance becomes insignificant: Effect sizes and their uncertainties in Bayesian and frequentist frameworks as an alternative approach when analyzing ecotoxicological data.
    Feckler A; Low M; Zubrod JP; Bundschuh M
    Environ Toxicol Chem; 2018 Jul; 37(7):1949-1955. PubMed ID: 29508923
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bayesian Regression Quantifies Uncertainty of Binding Parameters from Isothermal Titration Calorimetry More Accurately Than Error Propagation.
    La VNT; Minh DDL
    Int J Mol Sci; 2023 Oct; 24(20):. PubMed ID: 37894754
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Uncertainty in clinical prediction rules: the value of credible intervals.
    Haskins R; Osmotherly PG; Tuyl F; Rivett DA
    J Orthop Sports Phys Ther; 2014 Feb; 44(2):85-91. PubMed ID: 24175605
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Empirical Bayes interval estimates that are conditionally equal to unadjusted confidence intervals or to default prior credibility intervals.
    Bickel DR
    Stat Appl Genet Mol Biol; 2012 Feb; 11(3):Article 7. PubMed ID: 22499708
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Uncertainty in most probable number calculations for microbiological assays.
    McBride GB; McWhirter JL; Dalgety MH
    J AOAC Int; 2003; 86(5):1084-8. PubMed ID: 14632414
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Bayesian additional evidence for decision making under small sample uncertainty.
    Sondhi A; Segal B; Snider J; Humblet O; McCusker M
    BMC Med Res Methodol; 2021 Oct; 21(1):221. PubMed ID: 34689747
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Tutorial on Computing Bayes Factors for Single-Subject Designs.
    de Vries RM; Hartogs BM; Morey RD
    Behav Ther; 2015 Nov; 46(6):809-23. PubMed ID: 26520223
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Methods for calculating confidence and credible intervals for the residual between-study variance in random effects meta-regression models.
    Jackson D; Turner R; Rhodes K; Viechtbauer W
    BMC Med Res Methodol; 2014 Sep; 14():103. PubMed ID: 25196829
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Interval estimation of random effects in proportional hazards models with frailties.
    Ha ID; Vaida F; Lee Y
    Stat Methods Med Res; 2016 Apr; 25(2):936-53. PubMed ID: 23361438
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bayesian estimation of the measurement of interactions in epidemiological studies.
    Lin S; Hu C; Lin Z; Hu Z
    PeerJ; 2024; 12():e17128. PubMed ID: 38562994
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Bayesian hypothesis testing for single-subject designs.
    de Vries RM; Morey RD
    Psychol Methods; 2013 Jun; 18(2):165-85. PubMed ID: 23458719
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An improved Bayesian approach to estimating the reference interval from a meta-analysis: Directly monitoring the marginal quantiles and characterizing their uncertainty.
    Siegel L; Chu H
    Res Synth Methods; 2023 Jul; 14(4):639-646. PubMed ID: 36738156
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.