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 *

77 related articles for article (PubMed ID: 8872101)

  • 1. Design and analysis of studies evaluating smoking cessation interventions where effects vary between practices or practitioners.
    Butler C; Bachmann M
    Fam Pract; 1996 Aug; 13(4):402-7. PubMed ID: 8872101
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Intraclass correlation coefficients for cluster randomized trials in primary care: the cholesterol education and research trial (CEART).
    Parker DR; Evangelou E; Eaton CB
    Contemp Clin Trials; 2005 Apr; 26(2):260-7. PubMed ID: 15837446
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Design and analysis of clinical trials with clustering effects due to treatment.
    Roberts C; Roberts SA
    Clin Trials; 2005; 2(2):152-62. PubMed ID: 16279137
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Randomizing patients by family practice: sample size estimation, intracluster correlation and data analysis.
    Cosby RH; Howard M; Kaczorowski J; Willan AR; Sellors JW
    Fam Pract; 2003 Feb; 20(1):77-82. PubMed ID: 12509376
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Combined pharmacotherapy and behavioural interventions for smoking cessation.
    Stead LF; Lancaster T
    Cochrane Database Syst Rev; 2012 Oct; 10():CD008286. PubMed ID: 23076944
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The effect of cluster randomization on sample size in prevention research.
    Baskerville NB; Hogg W; Lemelin J
    J Fam Pract; 2001 Mar; 50(3):W241-6. PubMed ID: 11252223
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Stroke aetiological classification reliability and effect on trial sample size: systematic review, meta-analysis and statistical modelling.
    Abdul-Rahim AH; Dickie DA; Selvarajah JR; Lees KR; Quinn TJ;
    Trials; 2019 Feb; 20(1):107. PubMed ID: 30736833
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Sample size for cluster randomized trials: effect of coefficient of variation of cluster size and analysis method.
    Eldridge SM; Ashby D; Kerry S
    Int J Epidemiol; 2006 Oct; 35(5):1292-300. PubMed ID: 16943232
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development of a composite outcome score for a complex intervention - measuring the impact of Community Health Workers.
    Watt H; Harris M; Noyes J; Whitaker R; Hoare Z; Edwards RT; Haines A
    Trials; 2015 Mar; 16():107. PubMed ID: 25872945
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Relative efficiency and sample size for cluster randomized trials with variable cluster sizes.
    You Z; Williams OD; Aban I; Kabagambe EK; Tiwari HK; Cutter G
    Clin Trials; 2011 Feb; 8(1):27-36. PubMed ID: 21163852
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Cluster randomised trials in maternal and child health: implications for power and sample size.
    Reading R; Harvey I; Mclean M
    Arch Dis Child; 2000 Jan; 82(1):79-83. PubMed ID: 10630921
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A comparison of the statistical power of different methods for the analysis of cluster randomization trials with binary outcomes.
    Austin PC
    Stat Med; 2007 Aug; 26(19):3550-65. PubMed ID: 17238238
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Choosing appropriate analysis methods for cluster randomised cross-over trials with a binary outcome.
    Morgan KE; Forbes AB; Keogh RH; Jairath V; Kahan BC
    Stat Med; 2017 Jan; 36(2):318-333. PubMed ID: 27680896
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Sample size calculations for 3-level cluster randomized trials.
    Teerenstra S; Moerbeek M; van Achterberg T; Pelzer BJ; Borm GF
    Clin Trials; 2008; 5(5):486-95. PubMed ID: 18827041
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A practical Bayesian stepped wedge design for community-based cluster-randomized clinical trials: The British Columbia Telehealth Trial.
    Cunanan KM; Carlin BP; Peterson KA
    Clin Trials; 2016 Dec; 13(6):641-650. PubMed ID: 27430710
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Cluster randomised crossover trials with binary data and unbalanced cluster sizes: application to studies of near-universal interventions in intensive care.
    Forbes AB; Akram M; Pilcher D; Cooper J; Bellomo R
    Clin Trials; 2015 Feb; 12(1):34-44. PubMed ID: 25475880
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A sample size planning approach that considers both statistical significance and clinical significance.
    Jia B; Lynn HS
    Trials; 2015 May; 16():213. PubMed ID: 25962998
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Understanding the cluster randomised crossover design: a graphical illustraton of the components of variation and a sample size tutorial.
    Arnup SJ; McKenzie JE; Hemming K; Pilcher D; Forbes AB
    Trials; 2017 Aug; 18(1):381. PubMed ID: 28810895
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Statistical power and sample size requirements for three level hierarchical cluster randomized trials.
    Heo M; Leon AC
    Biometrics; 2008 Dec; 64(4):1256-62. PubMed ID: 18266889
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.