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 *

254 related articles for article (PubMed ID: 25809313)

  • 1. A Bayesian framework to account for uncertainty due to missing binary outcome data in pairwise meta-analysis.
    Turner NL; Dias S; Ades AE; Welton NJ
    Stat Med; 2015 May; 34(12):2062-80. PubMed ID: 25809313
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Accounting for uncertainty due to 'last observation carried forward' outcome imputation in a meta-analysis model.
    Dimitrakopoulou V; Efthimiou O; Leucht S; Salanti G
    Stat Med; 2015 Feb; 34(5):742-52. PubMed ID: 25492741
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Imputation methods for missing outcome data in meta-analysis of clinical trials.
    Higgins JP; White IR; Wood AM
    Clin Trials; 2008; 5(3):225-39. PubMed ID: 18559412
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Dealing with missing outcome data in meta-analysis.
    Mavridis D; White IR
    Res Synth Methods; 2020 Jan; 11(1):2-13. PubMed ID: 30991455
    [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. Development of a practical approach to expert elicitation for randomised controlled trials with missing health outcomes: Application to the IMPROVE trial.
    Mason AJ; Gomes M; Grieve R; Ulug P; Powell JT; Carpenter J
    Clin Trials; 2017 Aug; 14(4):357-367. PubMed ID: 28675302
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Addressing missing outcome data in meta-analysis.
    Mavridis D; Chaimani A; Efthimiou O; Leucht S; Salanti G
    Evid Based Ment Health; 2014 Aug; 17(3):85-9. PubMed ID: 25009175
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Allowing for uncertainty due to missing data in meta-analysis--part 1: two-stage methods.
    White IR; Higgins JP; Wood AM
    Stat Med; 2008 Feb; 27(5):711-27. PubMed ID: 17703496
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison of exclusion, imputation and modelling of missing binary outcome data in frequentist network meta-analysis.
    Spineli LM; Kalyvas C
    BMC Med Res Methodol; 2020 Feb; 20(1):48. PubMed ID: 32111167
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Allowing for uncertainty due to missing data in meta-analysis--part 2: hierarchical models.
    White IR; Welton NJ; Wood AM; Ades AE; Higgins JP
    Stat Med; 2008 Feb; 27(5):728-45. PubMed ID: 17703502
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Allowing for uncertainty due to missing continuous outcome data in pairwise and network meta-analysis.
    Mavridis D; White IR; Higgins JP; Cipriani A; Salanti G
    Stat Med; 2015 Feb; 34(5):721-41. PubMed ID: 25393541
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An approach for modelling multiple correlated outcomes in a network of interventions using odds ratios.
    Efthimiou O; Mavridis D; Cipriani A; Leucht S; Bagos P; Salanti G
    Stat Med; 2014 Jun; 33(13):2275-87. PubMed ID: 24918246
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluating the impact of imputations for missing participant outcome data in a network meta-analysis.
    Spineli LM; Higgins JP; Cipriani A; Leucht S; Salanti G
    Clin Trials; 2013; 10(3):378-88. PubMed ID: 23321265
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Influence of reported study design characteristics on intervention effect estimates from randomised controlled trials: combined analysis of meta-epidemiological studies.
    Savović J; Jones H; Altman D; Harris R; Jűni P; Pildal J; Als-Nielsen B; Balk E; Gluud C; Gluud L; Ioannidis J; Schulz K; Beynon R; Welton N; Wood L; Moher D; Deeks J; Sterne J
    Health Technol Assess; 2012 Sep; 16(35):1-82. PubMed ID: 22989478
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The future of Cochrane Neonatal.
    Soll RF; Ovelman C; McGuire W
    Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Allowing for uncertainty due to missing and LOCF imputed outcomes in meta-analysis.
    Mavridis D; Salanti G; Furukawa TA; Cipriani A; Chaimani A; White IR
    Stat Med; 2019 Feb; 38(5):720-737. PubMed ID: 30347460
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Efficacy, Acceptability, and Tolerability of Antipsychotics in Treatment-Resistant Schizophrenia: A Network Meta-analysis.
    Samara MT; Dold M; Gianatsi M; Nikolakopoulou A; Helfer B; Salanti G; Leucht S
    JAMA Psychiatry; 2016 Mar; 73(3):199-210. PubMed ID: 26842482
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The impact of missing data on the results of a schizophrenia study.
    Rybin D; Doros G; Rosenheck R; Lew R
    Pharm Stat; 2015; 14(1):4-10. PubMed ID: 25327503
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Dealing with missing standard deviation and mean values in meta-analysis of continuous outcomes: a systematic review.
    Weir CJ; Butcher I; Assi V; Lewis SC; Murray GD; Langhorne P; Brady MC
    BMC Med Res Methodol; 2018 Mar; 18(1):25. PubMed ID: 29514597
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.