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Items: 1 to 20 of 95

2.

Non-inferiority tests for clustered matched-pair data.

Nam JM, Kwon D.

Stat Med. 2009 May 30;28(12):1668-79. doi: 10.1002/sim.3580.

3.
4.

Sample size calculations for cluster randomised controlled trials with a fixed number of clusters.

Hemming K, Girling AJ, Sitch AJ, Marsh J, Lilford RJ.

BMC Med Res Methodol. 2011 Jun 30;11:102. doi: 10.1186/1471-2288-11-102. Erratum in: BMC Med Res Methodol. 2017 Jan 19;17 (1):8.

5.

Analysis of clustered matched-pair data.

Durkalski VL, Palesch YY, Lipsitz SR, Rust PF.

Stat Med. 2003 Aug 15;22(15):2417-28.

PMID:
12872299
6.

Sample size considerations in active-control non-inferiority trials with binary data based on the odds ratio.

Siqueira AL, Todd S, Whitehead A.

Stat Methods Med Res. 2015 Aug;24(4):453-61. doi: 10.1177/0962280214520729. Epub 2014 Feb 2.

PMID:
24492793
7.

A note on the tests for clustered matched-pair binary data.

Yang Z, Sun X, Hardin JW.

Biom J. 2010 Oct;52(5):638-52. doi: 10.1002/bimj.201000035.

PMID:
20976694
8.

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. doi: 10.1177/1740774510391492. Epub 2010 Dec 16.

PMID:
21163852
9.

Analysis of clustered matched-pair data for a non-inferiority study design.

Durkalski VL, Palesch YY, Lipsitz SR, Rust PF.

Stat Med. 2003 Jan 30;22(2):279-90.

PMID:
12520562
11.

Test non-inferiority and sample size determination based on the odds ratio under a cluster randomized trial with noncompliance.

Lui KJ, Chang KC.

J Biopharm Stat. 2011 Jan;21(1):94-110. doi: 10.1080/10543401003602623.

PMID:
21191857
12.

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. doi: 10.1177/1740774515606377. Epub 2015 Sep 28.

PMID:
26415500
13.

A comparative study of matched pair designs with two binary endpoints.

Jiang Y, Xu J.

Stat Methods Med Res. 2017 Dec;26(6):2526-2542. doi: 10.1177/0962280215601136. Epub 2016 Jul 11.

PMID:
26294329
14.

Understanding the cluster randomised crossover design: a graphical illustraton of the components of variation andĀ a sample sizeĀ tutorial.

Arnup SJ, McKenzie JE, Hemming K, Pilcher D, Forbes AB.

Trials. 2017 Aug 15;18(1):381. doi: 10.1186/s13063-017-2113-2.

15.

The Wilcoxon signed rank test for paired comparisons of clustered data.

Rosner B, Glynn RJ, Lee ML.

Biometrics. 2006 Mar;62(1):185-92.

PMID:
16542245
16.

The effect of retrospective sampling on binary regression models for clustered data.

Neuhaus JM, Jewell NP.

Biometrics. 1990 Dec;46(4):977-90.

PMID:
2085642
17.

Effect of imbalance and intracluster correlation coefficient in cluster randomization trials with binary outcomes when the available number of clusters is fixed in advance.

Ahn C, Hu F, Skinner CS, Ahn D.

Contemp Clin Trials. 2009 Jul;30(4):317-20. doi: 10.1016/j.cct.2009.03.007. Epub 2009 Apr 5.

18.

Sample size calculations for clustered binary data.

Jung SH, Kang SH, Ahn C.

Stat Med. 2001 Jul 15;20(13):1971-82.

PMID:
11427953
19.

Exact sample-size determination in testing non-inferiority under a simple crossover trial.

Lui KJ, Chang KC.

Pharm Stat. 2012 Mar-Apr;11(2):129-34. doi: 10.1002/pst.506. Epub 2012 Jan 10.

PMID:
22232060
20.

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. doi: 10.1177/1740774514559610. Epub 2014 Dec 4.

PMID:
25475880

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