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Volumn 29, Issue 2, 2010, Pages 193-198

A simple analysis of a simple crossover trial with a dichotomous outcome measure

Author keywords

Confidence interval; Crossover trial; Dichotomous outcome; Sample size; Two treatment

Indexed keywords

FORMOTEROL; SALBUTAMOL;

EID: 74749098540     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3771     Document Type: Article
Times cited : (38)

References (6)
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    • Sample size for testing differences in proportions for the paired-sample design
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    • (1987) Biometrics , vol.43 , pp. 207-211
    • Connor, R.J.1
  • 4
    • 0030029106 scopus 로고    scopus 로고
    • Formulae and tables for the determination of sample sizes and power in clinical trials for testing differences in proportions for the two-sample design: A review
    • Sahai H, Khurshid A. Formulae and tables for the determination of sample sizes and power in clinical trials for testing differences in proportions for the two-sample design: a review. Statistics in Medicine 1996; 15:1-21.
    • (1996) Statistics in Medicine , vol.15 , pp. 1-21
    • Sahai, H.1    Khurshid, A.2
  • 5
    • 0009880822 scopus 로고
    • A random effects model for binary data from crossover trials
    • Ezzet F, Whitehead J. A random effects model for binary data from crossover trials. Applied Statistics 1992; 41:117-126.
    • (1992) Applied Statistics , vol.41 , pp. 117-126
    • Ezzet, F.1    Whitehead, J.2
  • 6
    • 28444445926 scopus 로고    scopus 로고
    • R Development Core Team, R Foundation for Statistical Computing, Vienna, Austria
    • R Development Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2005.
    • (2005) R: A Language and Environment for Statistical Computing


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.