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Volumn 21, Issue 5, 2009, Pages 649-661

Confidence interval for the bootstrap P-value and sample size calculation of the bootstrap test

Author keywords

Binomial confidence interval; Bootstrap test; Nonparametric regression; P value; Sample size calculation; Simulation variance

Indexed keywords


EID: 70449365607     PISSN: 10485252     EISSN: 10290311     Source Type: Journal    
DOI: 10.1080/10485250902770035     Document Type: Article
Times cited : (16)

References (44)
  • 4
    • 0002344794 scopus 로고
    • Bootstrap methods: Another look at the jackknife
    • B. Efron, Bootstrap methods: Another look at the jackknife, Ann. Statist. 7 (1979), pp. 1-26.
    • (1979) Ann. Statist. , vol.7 , pp. 1-26
    • Efron, B.1
  • 5
  • 6
    • 0002002528 scopus 로고
    • A simplified Monte Carlo significance test procedure
    • A.C.A. Hope, A simplified Monte Carlo significance test procedure, J. R. Statist. Soc. Ser. B 30 (1968), pp. 582-598.
    • (1968) J. R. Statist. Soc. Ser. B , vol.30 , pp. 582-598
    • Hope, A.C.A.1
  • 7
    • 0003046735 scopus 로고
    • Barnard's Monte Carlo tests: How many simulations?
    • F.H.C. Marriott, Barnard's Monte Carlo tests: How many simulations? Appl. Statist. 28 (1979), pp. 75-77.
    • (1979) Appl. Statist. , vol.28 , pp. 75-77
    • Marriott, F.H.C.1
  • 8
    • 3242755608 scopus 로고
    • Bootstrap test for difference between means in nonparametric regression
    • P. Hall and J.D. Hart, Bootstrap test for difference between means in nonparametric regression, J. Amer. Statist. Assoc. 85 (1990), pp. 1039-1049.
    • (1990) J. Amer. Statist. Assoc. , vol.85 , pp. 1039-1049
    • Hall, P.1    Hart, J.D.2
  • 11
    • 0000661841 scopus 로고
    • Bootstrap methods (with discussion)
    • D.V. Hinkley, Bootstrap methods (with discussion), J. R. Statist. Soc. B 50 (1988), pp. 321-337.
    • (1988) J. R. Statist. Soc. B , vol.50 , pp. 321-337
    • Hinkley, D.V.1
  • 13
    • 0032377357 scopus 로고    scopus 로고
    • Approximate is better than exact for interval estimation of binomial proportions
    • A. Agresti and B.A. Coull, Approximate is better than exact for interval estimation of binomial proportions, Amer. Statist. 52 (1998), pp. 119-126.
    • (1998) Amer. Statist. , vol.52 , pp. 119-126
    • Agresti, A.1    Coull, B.A.2
  • 14
    • 84946650481 scopus 로고
    • Probable inference, the law of succession, and statistical inference
    • E.B. Wilson, Probable inference, the law of succession, and statistical inference, J. Amer. Statist. Assoc. 22 (1927), pp. 209-212.
    • (1927) J. Amer. Statist. Assoc. , vol.22 , pp. 209-212
    • Wilson, E.B.1
  • 15
    • 0001072895 scopus 로고
    • The use of confidence or fiducial limits illustrated in the case of the binomial
    • C.J. Clopper and E.S. Pearson, The use of confidence or fiducial limits illustrated in the case of the binomial, Biometrika 26 (1934), pp. 404-413.
    • (1934) Biometrika , vol.26 , pp. 404-413
    • Clopper, C.J.1    Pearson, E.S.2
  • 16
    • 0000260307 scopus 로고
    • Confidence intervals for a binomial parameter after observing no success
    • T.A. Louis, Confidence intervals for a binomial parameter after observing no success, Amer. Statist. 35 (1981), p. 154.
    • (1981) Amer. Statist. , vol.35 , pp. 154
    • Louis, T.A.1
  • 17
    • 0031527873 scopus 로고    scopus 로고
    • A look at the rule of three
    • B.D. Jovanovic and P.S. Levy, A look at the rule of three, Amer. Statist. 51 (1997), pp. 137-139.
    • (1997) Amer. Statist. , vol.51 , pp. 137-139
    • Jovanovic, B.D.1    Levy, P.S.2
  • 18
    • 0030795983 scopus 로고    scopus 로고
    • Comparing a sample proportion with a specified population proportion based on the mid-P method
    • B.C. Tai, J. Lee, and H.P. Lee, Comparing a sample proportion with a specified population proportion based on the mid-P method, Psychiatr. Res. 71 (1997), pp. 201-203.
    • (1997) Psychiatr. Res. , vol.71 , pp. 201-203
    • Tai, B.C.1    Lee, J.2    Lee, H.P.3
  • 20
    • 70449410868 scopus 로고
    • A normal approximation for binomial, F, beta, and other common, related tail probailities, II
    • J.W. Pratt, A normal approximation for binomial, F, beta, and other common, related tail probailities, II, J. Amer. Statist. Assoc. 3 (1968), pp. 647-652.
    • (1968) J. Amer. Statist. Assoc. , vol.3 , pp. 647-652
    • Pratt, J.W.1
  • 22
    • 0002335698 scopus 로고
    • Sample size calculations for binomial proportions via highest posterior density intervals
    • L. Joseph, D.B. Wolfson, and R.D. Berger, Sample size calculations for binomial proportions via highest posterior density intervals, The Statistician: J. Inst. Statist. 44 (1995), pp. 143-154.
    • (1995) The Statistician: J. Inst. Statist. , vol.44 , pp. 143-154
    • Joseph, L.1    Wolfson, D.B.2    Berger, R.D.3
  • 23
    • 0030327833 scopus 로고    scopus 로고
    • Computing and graphing highest density regions
    • R.J. Hyndman, Computing and graphing highest density regions, Amer. Statist. 50 (1996), pp. 120-126.
    • (1996) Amer. Statist. , vol.50 , pp. 120-126
    • Hyndman, R.J.1
  • 24
    • 0030763120 scopus 로고    scopus 로고
    • Bayesian analysis for a single 2 by 2 table
    • L. Hashemi, B. Nandram, and R. Goldberg, Bayesian analysis for a single 2 by 2 table, Statist. Med. 16 (1997), pp. 1311-1328.
    • (1997) Statist. Med. , vol.16 , pp. 1311-1328
    • Hashemi, L.1    Nandram, B.2    Goldberg, R.3
  • 25
    • 0033245240 scopus 로고    scopus 로고
    • Monte Carlo estimation of Bayesian credible and HPD intervals
    • M.-H. Chen and Q.-M. Shao, Monte Carlo estimation of Bayesian credible and HPD intervals, J. Computat. Graph. Statist. 8 (1999), pp. 69-92.
    • (1999) J. Computat. Graph. Statist. , vol.8 , pp. 69-92
    • Chen, M.-H.1    Shao, Q.-M.2
  • 26
    • 0021832508 scopus 로고
    • Comparative analysis of two rates
    • O.S. Miettinen and M. Nurminen, Comparative analysis of two rates, Statist. Med. 4 (1985), pp. 213-226.
    • (1985) Statist. Med. , vol.4 , pp. 213-226
    • Miettinen, O.S.1    Nurminen, M.2
  • 28
    • 0004162664 scopus 로고
    • Fiducial limits for the Poisson distribution
    • F. Garwood, Fiducial limits for the Poisson distribution, Biometrika 28 (1936), pp. 437-442.
    • (1936) Biometrika , vol.28 , pp. 437-442
    • Garwood, F.1
  • 29
    • 0032580320 scopus 로고    scopus 로고
    • Two-sided confidence intervals for the singel proportion: Comparison of seven methods
    • R.G. Newcombe, Two-sided confidence intervals for the singel proportion: Comparison of seven methods, Statist. Med. 17 (1998), pp. 857-872.
    • (1998) Statist. Med. , vol.17 , pp. 857-872
    • Newcombe, R.G.1
  • 30
    • 0000460102 scopus 로고    scopus 로고
    • Interval estimation for a binomial proportion
    • L.D. Brown, T.F. Cai, and A. DasGupta, Interval estimation for a binomial proportion, Statist. Sci. 16 (2001), pp. 101-133.
    • (2001) Statist. Sci. , vol.16 , pp. 101-133
    • Brown, L.D.1    Cai, T.F.2    Dasgupta, A.3
  • 31
    • 0002333325 scopus 로고
    • Using kernel density estimates to investigate multimodality
    • B.W. Silverman, Using kernel density estimates to investigate multimodality, J.R. Statist. Soc. B 43(1981), pp.97-99.
    • (1981) J.R. Statist. Soc. B , vol.43 , pp. 97-99
    • Silverman, B.W.1
  • 32
    • 0006380024 scopus 로고
    • Philatelic mixtures and multimodal densities
    • A.J. Izenman and C.J. Sommer, Philatelic mixtures and multimodal densities, J. Amer. Statist. Assoc. 83 (1988), pp. 941-953.
    • (1988) J. Amer. Statist. Assoc. , vol.83 , pp. 941-953
    • Izenman, A.J.1    Sommer, C.J.2
  • 35
    • 0035633948 scopus 로고    scopus 로고
    • Generalized likelihood test statistic and Wilks phonomenon
    • J. Fan, C. Zhang, and J. Zhang, Generalized likelihood test statistic and Wilks phonomenon, Ann, Statist. 29 (2001), pp. 153-193.
    • (2001) Ann, Statist. , vol.29 , pp. 153-193
    • Fan, J.1    Zhang, C.2    Zhang, J.3
  • 37
    • 24944545692 scopus 로고    scopus 로고
    • Efficient estimation for semivarying-coefficient models
    • Y. Xia, W. Zhang, and H. Tong, Efficient estimation for semivarying-coefficient models, Biometrika 91 (2004), pp. 661-681.
    • (2004) Biometrika , vol.91 , pp. 661-681
    • Xia, Y.1    Zhang, W.2    Tong, H.3
  • 38
    • 31044432144 scopus 로고    scopus 로고
    • Profile likelihood inferences on semi-parametric varying-coefficient partially linear models
    • J. Fan and T. Huang, Profile likelihood inferences on semi-parametric varying-coefficient partially linear models, Bernoulli 11 (2005), pp. 1031-1057.
    • (2005) Bernoulli , vol.11 , pp. 1031-1057
    • Fan, J.1    Huang, T.2
  • 40
    • 0036003724 scopus 로고    scopus 로고
    • Designing Monte Carlo implementations of permutation or boostrap hypothesis tests
    • M.P. Fay and D.A. Follmann, Designing Monte Carlo implementations of permutation or boostrap hypothesis tests, Amer. Statist. 56 (2002), pp. 63-70.
    • (2002) Amer. Statist. , vol.56 , pp. 63-70
    • Fay, M.P.1    Follmann, D.A.2
  • 41
    • 0001995592 scopus 로고    scopus 로고
    • A three-step method for choosing the number of boostrap repetitions
    • D.W.K. Andrews and M. Buchinsky, A three-step method for choosing the number of boostrap repetitions, Econometrica 67 (2000), pp. 23-51.
    • (2000) Econometrica , vol.67 , pp. 23-51
    • Andrews, D.W.K.1    Buchinsky, M.2
  • 42
    • 4344641754 scopus 로고    scopus 로고
    • On sample size for sensitivity and specificity in prospective diagnostic accuracy studies
    • J. Li and J.P. Fine, On sample size for sensitivity and specificity in prospective diagnostic accuracy studies, Statist. Med. 23 (2004), pp. 2537-2550.
    • (2004) Statist. Med. , vol.23 , pp. 2537-2550
    • Li, J.1    Fine, J.P.2
  • 43
    • 70449429256 scopus 로고    scopus 로고
    • Bayesian sample size determination for binomial proportions
    • C.E. M'Lan, L. Joseph, and D.B. Wolfson, Bayesian sample size determination for binomial proportions, Bayesian Anal. 3 (2008), pp. 1-11.
    • (2008) Bayesian Anal. , vol.3 , pp. 1-11
    • M'Lan, C.E.1    Joseph, L.2    Wolfson, D.B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.