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 *

228 related articles for article (PubMed ID: 28303254)

  • 1. Calculating Power by Bootstrap, with an Application to Cluster-Randomized Trials.
    Kleinman K; Huang SS
    EGEMS (Wash DC); 2016; 4(1):1202. PubMed ID: 28303254
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Sample size calculations for group randomized trials with unequal group sizes through Monte Carlo simulations.
    Shi Y; Lee JH
    Stat Methods Med Res; 2018 Sep; 27(9):2569-2580. PubMed ID: 30103663
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A comparison of confidence interval methods for the intraclass correlation coefficient in community-based cluster randomization trials with a binary outcome.
    Braschel MC; Svec I; Darlington GA; Donner A
    Clin Trials; 2016 Apr; 13(2):180-7. PubMed ID: 26415500
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An imbalance in cluster sizes does not lead to notable loss of power in cross-sectional, stepped-wedge cluster randomised trials with a continuous outcome.
    Kristunas CA; Smith KL; Gray LJ
    Trials; 2017 Mar; 18(1):109. PubMed ID: 28270224
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Sample size calculation for a stepped wedge trial.
    Baio G; Copas A; Ambler G; Hargreaves J; Beard E; Omar RZ
    Trials; 2015 Aug; 16():354. PubMed ID: 26282553
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Power calculations for survival analyses via Monte Carlo estimation.
    Richardson DB
    Am J Ind Med; 2003 Nov; 44(5):532-9. PubMed ID: 14571517
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Accounting for expected attrition in the planning of cluster randomized trials for assessing treatment effect heterogeneity.
    Tong J; Li F; Harhay MO; Tong G
    BMC Med Res Methodol; 2023 Apr; 23(1):85. PubMed ID: 37024809
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Non-parametric bootstrap confidence intervals for the intraclass correlation coefficient.
    Ukoumunne OC; Davison AC; Gulliford MC; Chinn S
    Stat Med; 2003 Dec; 22(24):3805-21. PubMed ID: 14673940
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Sample size calculation for clinical trials analyzed with the meta-analytic-predictive approach.
    Qi H; Rizopoulos D; van Rosmalen J
    Res Synth Methods; 2023 May; 14(3):396-413. PubMed ID: 36625478
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Allowing for imprecision of the intracluster correlation coefficient in the design of cluster randomized trials.
    Turner RM; Prevost AT; Thompson SG
    Stat Med; 2004 Apr; 23(8):1195-214. PubMed ID: 15083478
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Power calculation of adjusted McNemar's test based on clustered data of varying cluster size.
    Wu Y
    Biom J; 2018 Nov; 60(6):1190-1200. PubMed ID: 30288765
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Use of the bootstrap in analysing cost data from cluster randomised trials: some simulation results.
    Flynn TN; Peters TJ
    BMC Health Serv Res; 2004 Nov; 4(1):33. PubMed ID: 15550169
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Parametric and nonparametric population methods: their comparative performance in analysing a clinical dataset and two Monte Carlo simulation studies.
    Bustad A; Terziivanov D; Leary R; Port R; Schumitzky A; Jelliffe R
    Clin Pharmacokinet; 2006; 45(4):365-83. PubMed ID: 16584284
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Determining the sample size for a cluster-randomised trial using knowledge elicitation: Bayesian hierarchical modelling of the intracluster correlation coefficient.
    Tishkovskaya SV; Sutton CJ; Thomas LH; Watkins CL
    Clin Trials; 2023 Jun; 20(3):293-306. PubMed ID: 37036110
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Intracluster correlation coefficients in the Greater Mekong Subregion for sample size calculations of cluster randomized malaria trials.
    Peerawaranun P; Landier J; Nosten FH; Nguyen TN; Hien TT; Tripura R; Peto TJ; Phommasone K; Mayxay M; Day NPJ; Dondorp A; White N; von Seidlein L; Mukaka M
    Malar J; 2019 Dec; 18(1):428. PubMed ID: 31852499
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Sample size calculation for stepped wedge and other longitudinal cluster randomised trials.
    Hooper R; Teerenstra S; de Hoop E; Eldridge S
    Stat Med; 2016 Nov; 35(26):4718-4728. PubMed ID: 27350420
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A readily available improvement over method of moments for intra-cluster correlation estimation in the context of cluster randomized trials and fitting a GEE-type marginal model for binary outcomes.
    Westgate PM
    Clin Trials; 2019 Feb; 16(1):41-51. PubMed ID: 30295512
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Using the potential outcome framework to estimate optimal sample size for cluster randomized trials: a simulation-based algorithm.
    Zhai R; Gutman R
    J Stat Comput Simul; 2021; 91(18):3744-3770. PubMed ID: 34857976
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Power and sample size calculation for stepped-wedge designs with discrete outcomes.
    Xia F; Hughes JP; Voldal EC; Heagerty PJ
    Trials; 2021 Sep; 22(1):598. PubMed ID: 34488848
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 12.