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Items: 1 to 20 of 95

1.

Breaking free of sample size dogma to perform innovative translational research.

Bacchetti P, Deeks SG, McCune JM.

Sci Transl Med. 2011 Jun 15;3(87):87ps24. doi: 10.1126/scitranslmed.3001628.

2.

Simple, defensible sample sizes based on cost efficiency.

Bacchetti P, McCulloch CE, Segal MR.

Biometrics. 2008 Jun;64(2):577-85; discussion 586-94. doi: 10.1111/j.1541-0420.2008.01004_1.x.

3.

Reexamining Sample Size Requirements for Multivariate, Abundance-Based Community Research: When Resources are Limited, the Research Does Not Have to Be.

Forcino FL, Leighton LR, Twerdy P, Cahill JF.

PLoS One. 2015 Jun 9;10(6):e0128379. doi: 10.1371/journal.pone.0128379. eCollection 2015.

4.

Current sample size conventions: flaws, harms, and alternatives.

Bacchetti P.

BMC Med. 2010 Mar 22;8:17. doi: 10.1186/1741-7015-8-17. Review.

5.

Concepts in sample size determination.

Rao UK.

Indian J Dent Res. 2012 Sep-Oct;23(5):660-4. doi: 10.4103/0970-9290.107385. Review.

6.

Recommendations for planning pilot studies in clinical and translational research.

Moore CG, Carter RE, Nietert PJ, Stewart PW.

Clin Transl Sci. 2011 Oct;4(5):332-7. doi: 10.1111/j.1752-8062.2011.00347.x. Review.

7.

Ethics and sample size.

Bacchetti P, Wolf LE, Segal MR, McCulloch CE.

Am J Epidemiol. 2005 Jan 15;161(2):105-10. Erratum in: Am J Epidemiol. 2005 Dec 15;162(12):1237.

PMID:
15632258
8.

The cost of large numbers of hypothesis tests on power, effect size and sample size.

Lazzeroni LC, Ray A.

Mol Psychiatry. 2012 Jan;17(1):108-14. doi: 10.1038/mp.2010.117. Epub 2010 Nov 9.

9.

Optimal sample sizes for Welch's test under various allocation and cost considerations.

Jan SL, Shieh G.

Behav Res Methods. 2011 Dec;43(4):1014-22. doi: 10.3758/s13428-011-0095-7.

PMID:
21512873
10.

Alpha values as a function of sample size, effect size, and power: accuracy over inference.

Bradley MT, Brand A.

Psychol Rep. 2013 Jun;112(3):835-44.

PMID:
24245076
11.

Subgroup analyses in randomised controlled trials: quantifying the risks of false-positives and false-negatives.

Brookes ST, Whitley E, Peters TJ, Mulheran PA, Egger M, Davey Smith G.

Health Technol Assess. 2001;5(33):1-56. Review.

12.

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
13.

How to create innovation by building the translation bridge from basic research into medicinal drugs: an industrial perspective.

Germann PG, Schuhmacher A, Harrison J, Law R, Haug K, Wong G.

Hum Genomics. 2013 Mar 5;7:5. doi: 10.1186/1479-7364-7-5.

14.

Planning sample sizes when effect sizes are uncertain: The power-calibrated effect size approach.

McShane BB, Böckenholt U.

Psychol Methods. 2016 Mar;21(1):47-60. doi: 10.1037/met0000036. Epub 2015 Dec 14.

PMID:
26651984
15.

An analysis of adaptive design variations on the sequential parallel comparison design for clinical trials.

Mi MY, Betensky RA.

Clin Trials. 2013 Apr;10(2):207-15. doi: 10.1177/1740774512468806. Epub 2013 Jan 2.

17.

Small Sample Research: Considerations Beyond Statistical Power.

Etz KE, Arroyo JA.

Prev Sci. 2015 Oct;16(7):1033-6. doi: 10.1007/s11121-015-0585-4.

PMID:
26281902
18.

Optimal sample sizes for the design of reliability studies: power consideration.

Shieh G.

Behav Res Methods. 2014 Sep;46(3):772-85. doi: 10.3758/s13428-013-0396-0.

PMID:
24197712
19.
20.

Power and sample size for cost-effectiveness analysis: fFN neonatal screening.

Boyd KA, Briggs AH, Fenwick E, Norrie J, Stock S.

Contemp Clin Trials. 2011 Nov;32(6):893-901. doi: 10.1016/j.cct.2011.07.007. Epub 2011 Jul 18. Review.

PMID:
21782976

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