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 *

293 related articles for article (PubMed ID: 27680896)

  • 1. 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]  

  • 2. 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]  

  • 3. Minimum number of clusters and comparison of analysis methods for cross sectional stepped wedge cluster randomised trials with binary outcomes: A simulation study.
    Barker D; D'Este C; Campbell MJ; McElduff P
    Trials; 2017 Mar; 18(1):119. PubMed ID: 28279222
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Appropriate statistical methods for analysing partially nested randomised controlled trials with continuous outcomes: a simulation study.
    Candlish J; Teare MD; Dimairo M; Flight L; Mandefield L; Walters SJ
    BMC Med Res Methodol; 2018 Oct; 18(1):105. PubMed ID: 30314463
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Increased risk of type I errors in cluster randomised trials with small or medium numbers of clusters: a review, reanalysis, and simulation study.
    Kahan BC; Forbes G; Ali Y; Jairath V; Bremner S; Harhay MO; Hooper R; Wright N; Eldridge SM; Leyrat C
    Trials; 2016 Sep; 17(1):438. PubMed ID: 27600609
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. A note on sample size calculations for cluster randomised crossover trials with a fixed number of clusters.
    Kelly TL; Pratt N
    Stat Med; 2019 Aug; 38(18):3342-3345. PubMed ID: 31069820
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Re-estimating sample size in cluster randomised trials with active recruitment within clusters.
    van Schie S; Moerbeek M
    Stat Med; 2014 Aug; 33(19):3253-68. PubMed ID: 24719285
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. A simulation study of odds ratio estimation for binary outcomes from cluster randomized trials.
    Ukoumunne OC; Carlin JB; Gulliford MC
    Stat Med; 2007 Aug; 26(18):3415-28. PubMed ID: 17154246
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Cluster randomized trials with a small number of clusters: which analyses should be used?
    Leyrat C; Morgan KE; Leurent B; Kahan BC
    Int J Epidemiol; 2018 Feb; 47(1):321-331. PubMed ID: 29025158
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The impact of varying cluster size in cross-sectional stepped-wedge cluster randomised trials.
    Martin JT; Hemming K; Girling A
    BMC Med Res Methodol; 2019 Jun; 19(1):123. PubMed ID: 31200640
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Generalized estimating equations in cluster randomized trials with a small number of clusters: Review of practice and simulation study.
    Huang S; Fiero MH; Bell ML
    Clin Trials; 2016 Aug; 13(4):445-9. PubMed ID: 27094487
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Sample size calculations for randomised trials including both independent and paired data.
    Yelland LN; Sullivan TR; Price DJ; Lee KJ
    Stat Med; 2017 Apr; 36(8):1227-1239. PubMed ID: 28074483
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Intra-cluster correlation selection for cluster randomized trials.
    Westgate PM
    Stat Med; 2016 Aug; 35(19):3272-84. PubMed ID: 26924419
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Cluster randomised trials with a binary outcome and a small number of clusters: comparison of individual and cluster level analysis method.
    Thompson JA; Leyrat C; Fielding KL; Hayes RJ
    BMC Med Res Methodol; 2022 Aug; 22(1):222. PubMed ID: 35962318
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparing denominator degrees of freedom approximations for the generalized linear mixed model in analyzing binary outcome in small sample cluster-randomized trials.
    Li P; Redden DT
    BMC Med Res Methodol; 2015 Apr; 15():38. PubMed ID: 25899170
    [TBL] [Abstract][Full Text] [Related]  

  • 19. How large are the consequences of covariate imbalance in cluster randomized trials: a simulation study with a continuous outcome and a binary covariate at the cluster level.
    Moerbeek M; van Schie S
    BMC Med Res Methodol; 2016 Jul; 16():79. PubMed ID: 27401771
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparison of small-sample standard-error corrections for generalised estimating equations in stepped wedge cluster randomised trials with a binary outcome: A simulation study.
    Thompson JA; Hemming K; Forbes A; Fielding K; Hayes R
    Stat Methods Med Res; 2021 Feb; 30(2):425-439. PubMed ID: 32970526
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.