메뉴 건너뛰기




Volumn 169, Issue 4, 2006, Pages 865-881

Sample size implications when biases are modelled rather than ignored

Author keywords

Bayesian inference; Bias; Epidemiology; Measurement error; Misclassification; Non identified model; Observational studies; Residual confounding; Sample size; Study design

Indexed keywords


EID: 33748802753     PISSN: 09641998     EISSN: 1467985X     Source Type: Journal    
DOI: 10.1111/j.1467-985X.2006.00436.x     Document Type: Review
Times cited : (18)

References (28)
  • 1
    • 84972528615 scopus 로고
    • Bayesian experimental design: A review
    • Chaloner, K. and Verdinelli, I. (1995) Bayesian experimental design: a review. Statist. Sci., 10, 273-304.
    • (1995) Statist. Sci. , vol.10 , pp. 273-304
    • Chaloner, K.1    Verdinelli, I.2
  • 2
    • 0002384709 scopus 로고
    • Conditional independence in statistical theory
    • Dawid, A. P. (1979) Conditional independence in statistical theory (with discussion). J. R. Statist. Soc. B, 41, 1-31.
    • (1979) J. R. Statist. Soc. B , vol.41 , pp. 1-31
    • Dawid, A.P.1
  • 3
    • 2942644937 scopus 로고    scopus 로고
    • Bayesian sample size determination for prevalence and diagnostic test studies in the absence of a gold standard test
    • Dendukuri, N., Rahme, E., Belisle, P. and Joseph, L. (2004) Bayesian sample size determination for prevalence and diagnostic test studies in the absence of a gold standard test. Biometrics, 60, 388-397.
    • (2004) Biometrics , vol.60 , pp. 388-397
    • Dendukuri, N.1    Rahme, E.2    Belisle, P.3    Joseph, L.4
  • 4
    • 0442309445 scopus 로고    scopus 로고
    • Identifiability, improper priors, and Gibbs sampling for generalized linear models
    • Gelfand, A. E. and Sahu, S. K. (1999) Identifiability, improper priors, and Gibbs sampling for generalized linear models. J. Am. Statist. Ass., 94, 247-253.
    • (1999) J. Am. Statist. Ass. , vol.94 , pp. 247-253
    • Gelfand, A.E.1    Sahu, S.K.2
  • 5
    • 0033858016 scopus 로고    scopus 로고
    • When should epidemiologic regressions use random coefficients
    • Greenland, S. (2000) When should epidemiologic regressions use random coefficients. Biometrics, 56, 915-921.
    • (2000) Biometrics , vol.56 , pp. 915-921
    • Greenland, S.1
  • 6
    • 0035701428 scopus 로고    scopus 로고
    • Sensitivity analysis, Monte-Carlo risk analysis, and Bayesian uncertainty assessment
    • Greenland, S. (2001) Sensitivity analysis, Monte-Carlo risk analysis, and Bayesian uncertainty assessment. Risk Anal., 21, 579-583.
    • (2001) Risk Anal. , vol.21 , pp. 579-583
    • Greenland, S.1
  • 7
    • 0037361638 scopus 로고    scopus 로고
    • The impact of prior distributions for uncontrolled confounding and response bias: A case study of the relation of wire codes and magnetic fields to childhood leukemia
    • Greenland, S. (2003) The impact of prior distributions for uncontrolled confounding and response bias: a case study of the relation of wire codes and magnetic fields to childhood leukemia. J. Am. Statist. Ass., 98, 47-54.
    • (2003) J. Am. Statist. Ass. , vol.98 , pp. 47-54
    • Greenland, S.1
  • 8
    • 20144383829 scopus 로고    scopus 로고
    • Multiple-bias modelling for analysis of observational data
    • Greenland, S. (2005) Multiple-bias modelling for analysis of observational data (with discussion). J. R. Statist. Soc. A, 168, 267-306.
    • (2005) J. R. Statist. Soc. A , vol.168 , pp. 267-306
    • Greenland, S.1
  • 10
    • 15844429309 scopus 로고    scopus 로고
    • On model expansion, model contraction, identifiability, and prior information: Two illustrative scenarios involving mismeasured variables
    • Gustafson, P. (2005) On model expansion, model contraction, identifiability, and prior information: two illustrative scenarios involving mismeasured variables (with discussion). Statist. Sci., 20, 111-140.
    • (2005) Statist. Sci. , vol.20 , pp. 111-140
    • Gustafson, P.1
  • 11
    • 33745624487 scopus 로고    scopus 로고
    • The performance of random coefficient regression in accounting for residual confounding
    • to be published
    • Gustafson, P. and Greenland, S. (2006a) The performance of random coefficient regression in accounting for residual confounding. Biometrics, to be published.
    • (2006) Biometrics
    • Gustafson, P.1    Greenland, S.2
  • 12
    • 31344432705 scopus 로고    scopus 로고
    • Curious phenomena in Bayesian adjustment for exposure misclassification
    • Gustafson, P. and Greenland, S. (2006b) Curious phenomena in Bayesian adjustment for exposure misclassification. Statist. Med., 25, 87-103.
    • (2006) Statist. Med. , vol.25 , pp. 87-103
    • Gustafson, P.1    Greenland, S.2
  • 13
    • 0034997533 scopus 로고    scopus 로고
    • Case-control analysis with partial knowledge of exposure misclassification probabilities
    • Gustafson, P., Le, N. D. and Saskin, R. (2001) Case-control analysis with partial knowledge of exposure misclassification probabilities. Biometrics, 57, 598-609.
    • (2001) Biometrics , vol.57 , pp. 598-609
    • Gustafson, P.1    Le, N.D.2    Saskin, R.3
  • 14
    • 0004535333 scopus 로고    scopus 로고
    • Interval-based versus decision theoretic criteria for the choice of sample size
    • Joseph, L. and Wolfson, D. B. (1997) Interval-based versus decision theoretic criteria for the choice of sample size. Statistician, 46, 145-149.
    • (1997) Statistician , vol.46 , pp. 145-149
    • Joseph, L.1    Wolfson, D.B.2
  • 15
    • 0002335698 scopus 로고
    • Sample size calculations for binomial proportions via highest posterior density intervals
    • Joseph, L., Wolfson, D. B. and du Berger, R. (1995a) Sample size calculations for binomial proportions via highest posterior density intervals. Statistician, 44, 143-154.
    • (1995) Statistician , vol.44 , pp. 143-154
    • Joseph, L.1    Wolfson, D.B.2    Du Berger, R.3
  • 16
    • 0006283266 scopus 로고
    • Some comments on Bayesian sample size determination
    • Joseph, L., Wolfson, D. B. and du Berger, R. (1995b) Some comments on Bayesian sample size determination. Statistician, 44, 167-171.
    • (1995) Statistician , vol.44 , pp. 167-171
    • Joseph, L.1    Wolfson, D.B.2    Du Berger, R.3
  • 17
    • 0013091927 scopus 로고    scopus 로고
    • Semi-automated sensitivity analysis to assess systematic errors in observational data
    • Lash, T. L. and Fink, A. K. (2003) Semi-automated sensitivity analysis to assess systematic errors in observational data. Epidemiology, 14, 451-458.
    • (2003) Epidemiology , vol.14 , pp. 451-458
    • Lash, T.L.1    Fink, A.K.2
  • 18
    • 0007190954 scopus 로고    scopus 로고
    • Simulation based optimal design
    • (eds J. O. Berger, J. M. Bernardo, A. P. Dawid and A. F. M. Smith). Oxford: Oxford University Press
    • Mueller, P. (1999) Simulation based optimal design. In Bayesian Statistics 6 (eds J. O. Berger, J. M. Bernardo, A. P. Dawid and A. F. M. Smith), pp. 459-474. Oxford: Oxford University Press.
    • (1999) Bayesian Statistics , vol.6 , pp. 459-474
    • Mueller, P.1
  • 19
    • 4944254628 scopus 로고    scopus 로고
    • Optimal Bayesian design by inhomogeneous Markov chain simulations
    • Mueller, P., Sanso, B. and De Iorio, M. (2004) Optimal Bayesian design by inhomogeneous Markov chain simulations. J. Am. Statist. Ass., 99, 788-798.
    • (2004) J. Am. Statist. Ass. , vol.99 , pp. 788-798
    • Mueller, P.1    Sanso, B.2    De Iorio, M.3
  • 20
    • 0031536541 scopus 로고    scopus 로고
    • On the efficacy of Bayesian inference for nonidentifiable models
    • Neath, A. E. and Samaniego, F. J. (1997) On the efficacy of Bayesian inference for nonidentifiable models. Am. Statistn, 51, 225-232.
    • (1997) Am. Statistn , vol.51 , pp. 225-232
    • Neath, A.E.1    Samaniego, F.J.2
  • 21
    • 0042961774 scopus 로고    scopus 로고
    • On Bayesian analysis, Bayesian decision theory and the sample size problem
    • Pham-Gia, T. (1997) On Bayesian analysis, Bayesian decision theory and the sample size problem. Statistician, 46, 139-144.
    • (1997) Statistician , vol.46 , pp. 139-144
    • Pham-Gia, T.1
  • 22
    • 0013045232 scopus 로고    scopus 로고
    • Quantifying uncertainty in epidemiologic studies
    • Phillips, C. V. (2003) Quantifying uncertainty in epidemiologic studies. Epidemiology, 14, 459-466.
    • (2003) Epidemiology , vol.14 , pp. 459-466
    • Phillips, C.V.1
  • 23
    • 0034360783 scopus 로고    scopus 로고
    • Bayesian sample size determination for estimating binomial parameters from data subject to misclassification
    • Rahme, E., Joseph, L. and Gyorkos, T. W. (2000) Bayesian sample size determination for estimating binomial parameters from data subject to misclassification. Appl. Statist., 49, 119-128.
    • (2000) Appl. Statist. , vol.49 , pp. 119-128
    • Rahme, E.1    Joseph, L.2    Gyorkos, T.W.3
  • 24
    • 0041419339 scopus 로고    scopus 로고
    • A simulation-based approach to Bayesian sample size determination for performance under a given model and for separating models
    • Wang, F. and Gelfand, A. E. (2002) A simulation-based approach to Bayesian sample size determination for performance under a given model and for separating models. Statist. Sci., 17, 193-208.
    • (2002) Statist. Sci. , vol.17 , pp. 193-208
    • Wang, F.1    Gelfand, A.E.2
  • 25
    • 0010974004 scopus 로고    scopus 로고
    • Bayesian sample size calculations for hypothesis testing
    • Weiss, R. (1997) Bayesian sample size calculations for hypothesis testing. Statistician, 46, 185-191.
    • (1997) Statistician , vol.46 , pp. 185-191
    • Weiss, R.1
  • 27
    • 33744977705 scopus 로고    scopus 로고
    • Measures of Bayesian learning and identifiability in hierarchical models
    • to be published
    • Xie, Y. and Carlin, B. P. (2006) Measures of Bayesian learning and identifiability in hierarchical models. J. Statist. Planng Inf., to be published.
    • (2006) J. Statist. Planng Inf.
    • Xie, Y.1    Carlin, B.P.2
  • 28
    • 0035974326 scopus 로고    scopus 로고
    • On determination of sample size in hierarchical binomial models
    • Zou, K. H. and Normand, S. L. T. (2001) On determination of sample size in hierarchical binomial models. Statist. Med., 20, 2163-2182.
    • (2001) Statist. Med. , vol.20 , pp. 2163-2182
    • Zou, K.H.1    Normand, S.L.T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.