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 *

125 related articles for article (PubMed ID: 35920674)

  • 1. A Bayesian model for combining standardized mean differences and odds ratios in the same meta-analysis.
    Jing Y; Murad MH; Lin L
    J Biopharm Stat; 2023 Mar; 33(2):167-190. PubMed ID: 35920674
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparisons of the mean differences and standardized mean differences for continuous outcome measures on the same scale.
    Jing Y; Lin L
    JBI Evid Synth; 2024 Mar; 22(3):394-405. PubMed ID: 38385456
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Empirical evidence about inconsistency among studies in a pair-wise meta-analysis.
    Rhodes KM; Turner RM; Higgins JP
    Res Synth Methods; 2016 Dec; 7(4):346-370. PubMed ID: 26679486
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An empirical comparison of Bayesian modelling strategies for missing binary outcome data in network meta-analysis.
    Spineli LM
    BMC Med Res Methodol; 2019 Apr; 19(1):86. PubMed ID: 31018836
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bayesian estimation and testing in random-effects meta-analysis of rare binary events allowing for flexible group variability.
    Zhang M; Barth J; Lim J; Wang X
    Stat Med; 2023 May; 42(11):1699-1721. PubMed ID: 36869639
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Odds ratios for a continuous outcome variable without dichotomizing.
    Moser BK; Coombs LP
    Stat Med; 2004 Jun; 23(12):1843-60. PubMed ID: 15195319
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A comparison of Bayesian and frequentist methods in random-effects network meta-analysis of binary data.
    Seide SE; Jensen K; Kieser M
    Res Synth Methods; 2020 May; 11(3):363-378. PubMed ID: 31955519
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Analysis of an incomplete binary outcome dichotomized from an underlying continuous variable in clinical trials.
    Ma C; Shen X; Qu Y; Du Y
    Pharm Stat; 2022 Sep; 21(5):907-918. PubMed ID: 35277928
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Bayesian goodness of fit test and semiparametric generalization of logistic regression with measurement data.
    Schörgendorfer A; Branscum AJ; Hanson TE
    Biometrics; 2013 Jun; 69(2):508-19. PubMed ID: 23489010
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Pattern-mixture model in network meta-analysis of binary missing outcome data: one-stage or two-stage approach?
    Spineli LM; Papadimitropoulou K; Kalyvas C
    BMC Med Res Methodol; 2021 Jan; 21(1):12. PubMed ID: 33413138
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Bayesian meta-analytic approach for safety signal detection in randomized clinical trials.
    Odani M; Fukimbara S; Sato T
    Clin Trials; 2017 Apr; 14(2):192-200. PubMed ID: 28059578
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Developing a Bayesian hierarchical model for a prospective individual patient data meta-analysis with continuous monitoring.
    Wu D; Goldfeld KS; Petkova E
    BMC Med Res Methodol; 2023 Jan; 23(1):25. PubMed ID: 36698073
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Robust Bayesian hierarchical model using normal/independent distributions.
    Chen G; Luo S
    Biom J; 2016 Jul; 58(4):831-51. PubMed ID: 26711558
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Random-effects meta-analysis of few studies involving rare events.
    Günhan BK; Röver C; Friede T
    Res Synth Methods; 2020 Jan; 11(1):74-90. PubMed ID: 31348846
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Bayesian mixture model for changepoint estimation using ordinal predictors.
    Roberts E; Zhao L
    Int J Biostat; 2021 Apr; 18(1):57-72. PubMed ID: 33823087
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Meta-analysis of the Italian studies on short-term effects of air pollution].
    Biggeri A; Bellini P; Terracini B;
    Epidemiol Prev; 2001; 25(2 Suppl):1-71. PubMed ID: 11515188
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bayesian Methods for Meta-Analyses of Binary Outcomes: Implementations, Examples, and Impact of Priors.
    Al Amer FM; Thompson CG; Lin L
    Int J Environ Res Public Health; 2021 Mar; 18(7):. PubMed ID: 33801771
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Bayesian approach to assessing small-study effects in meta-analysis of a binary outcome with controlled false positive rate.
    Shi L; Chu H; Lin L
    Res Synth Methods; 2020 Jul; 11(4):535-552. PubMed ID: 32424987
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Part 1. Statistical Learning Methods for the Effects of Multiple Air Pollution Constituents.
    Coull BA; Bobb JF; Wellenius GA; Kioumourtzoglou MA; Mittleman MA; Koutrakis P; Godleski JJ
    Res Rep Health Eff Inst; 2015 Jun; (183 Pt 1-2):5-50. PubMed ID: 26333238
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.