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Volumn 46, Issue 4, 1997, Pages 433-448

Bayesian model averaging in proportional hazard models: Assessing the risk of a stroke

Author keywords

Bayesian model averaging; Model uncertainty; Stroke risk factors; Variable selection

Indexed keywords


EID: 0040007375     PISSN: 00359254     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-9876.00082     Document Type: Article
Times cited : (180)

References (41)
  • 2
    • 0024320123 scopus 로고
    • Bootstrap investigation of the stability of a Cox regression model
    • Altman, D. G. and Andersen, P. K. (1989) Bootstrap investigation of the stability of a Cox regression model. Statist. Med., 8, 771-783.
    • (1989) Statist. Med. , vol.8 , pp. 771-783
    • Altman, D.G.1    Andersen, P.K.2
  • 3
    • 0014184207 scopus 로고
    • The discarding of variables in multivariate analysis
    • Beale, E. M. L., Kendall, M. G. and Mann, D. (1967) The discarding of variables in multivariate analysis. Biometrika, 54, 357-366.
    • (1967) Biometrika , vol.54 , pp. 357-366
    • Beale, E.M.L.1    Kendall, M.G.2    Mann, D.3
  • 4
    • 84972514254 scopus 로고
    • Testing precise hypotheses
    • Berger, J. O. and Delampady, M. (1987) Testing precise hypotheses. Statist. Sci., 2, 317-352.
    • (1987) Statist. Sci. , vol.2 , pp. 317-352
    • Berger, J.O.1    Delampady, M.2
  • 5
    • 84950900304 scopus 로고
    • Testing a point null hypothesis
    • Berger, J. O. and Sellke, T. (1987) Testing a point null hypothesis (with discussion). J. Am. Statist. Ass., 82, 112-122.
    • (1987) J. Am. Statist. Ass. , vol.82 , pp. 112-122
    • Berger, J.O.1    Sellke, T.2
  • 6
    • 0001829596 scopus 로고
    • Analysis of survival data under the proportional hazards model
    • Breslow, N. (1975) Analysis of survival data under the proportional hazards model. Int. Statist. Rev., 43, 45-48.
    • (1975) Int. Statist. Rev. , vol.43 , pp. 45-48
    • Breslow, N.1
  • 7
    • 1942422934 scopus 로고
    • Model uncertainty, data mining and statistical inference
    • Chatfield, C. (1995) Model uncertainty, data mining and statistical inference (with discussion). J. R. Statist. Soc. A, 158, 419-466.
    • (1995) J. R. Statist. Soc. A , vol.158 , pp. 419-466
    • Chatfield, C.1
  • 9
    • 0000336139 scopus 로고
    • Regression models and life-tables
    • Cox, D. R. (1972) Regression models and life-tables (with discussion). J. R. Statist. Soc. B, 34, 187-220.
    • (1972) J. R. Statist. Soc. B , vol.34 , pp. 187-220
    • Cox, D.R.1
  • 10
    • 85004844353 scopus 로고
    • Backward, forward and stepwise automated subset selection algorithms: Frequency of obtaining authentic and noise variables
    • Derksen, S. and Keselman, H. (1992) Backward, forward and stepwise automated subset selection algorithms: frequency of obtaining authentic and noise variables. Br. J. Math. Statist. Psychol., 45, 262-282.
    • (1992) Br. J. Math. Statist. Psychol. , vol.45 , pp. 262-282
    • Derksen, S.1    Keselman, H.2
  • 11
    • 0002276308 scopus 로고
    • Assessment and propagation of model uncertainty
    • Draper, D. (1995) Assessment and propagation of model uncertainty. J. R. Statist. Soc. B, 57, 45-97.
    • (1995) J. R. Statist. Soc. B , vol.57 , pp. 45-97
    • Draper, D.1
  • 12
    • 26444433586 scopus 로고
    • Bayesian statistical inference for psychological research
    • Edwards, W., Lindman, H. and Savage, L. J. (1963) Bayesian statistical inference for psychological research. Psychol. Rev., 70, 193-242.
    • (1963) Psychol. Rev. , vol.70 , pp. 193-242
    • Edwards, W.1    Lindman, H.2    Savage, L.J.3
  • 13
    • 0001878035 scopus 로고
    • Multiple regression analysis
    • eds A. Ralston and H. Wilf. New York: Wiley
    • Efroymson, M. (1960) Multiple regression analysis. In Mathematical Methods for Digital Computers (eds A. Ralston and H. Wilf). New York: Wiley.
    • (1960) Mathematical Methods for Digital Computers
    • Efroymson, M.1
  • 14
    • 84952499789 scopus 로고
    • Frequency of selecting noise variables in subset regression analysis: A simulation study
    • Flack, V. F. and Chang, P. C. (1987) Frequency of selecting noise variables in subset regression analysis: a simulation study. Am. Statistn, 41, 84-88.
    • (1987) Am. Statistn , vol.41 , pp. 84-88
    • Flack, V.F.1    Chang, P.C.2
  • 16
    • 84905002632 scopus 로고
    • A note on screening regression equations
    • Freedman, D. A. (1983) A note on screening regression equations. Am. Statistn, 37, 152-155.
    • (1983) Am. Statistn , vol.37 , pp. 152-155
    • Freedman, D.A.1
  • 18
    • 0016128505 scopus 로고
    • Regression by leaps and bounds
    • Furnival, G. M. and Wilson, R. W. (1974) Regression by leaps and bounds. Technometrics, 16, 499-511.
    • (1974) Technometrics , vol.16 , pp. 499-511
    • Furnival, G.M.1    Wilson, R.W.2
  • 19
    • 84893179575 scopus 로고
    • Variable selection via Gibbs sampling
    • George, E. and McCulloch, R. (1993) Variable selection via Gibbs sampling. J. Am. Statist. Ass., 88, 881-889.
    • (1993) J. Am. Statist. Ass. , vol.88 , pp. 881-889
    • George, E.1    McCulloch, R.2
  • 20
    • 0000558731 scopus 로고
    • Rational decisions
    • Good, I. J. (1952) Rational decisions. J. R. Statist. Soc. B, 14, 107-114.
    • (1952) J. R. Statist. Soc. B , vol.14 , pp. 107-114
    • Good, I.J.1
  • 21
    • 0028952976 scopus 로고
    • Stroke prevention
    • Gorelick, P. D. (1995) Stroke prevention. Arch. Neurol., 52, 347-355.
    • (1995) Arch. Neurol. , vol.52 , pp. 347-355
    • Gorelick, P.D.1
  • 22
    • 84942484786 scopus 로고
    • Ridge regression: Biased estimation for nonorthogonal problems
    • Hoerl, A. E. and Kennard, R. W. (1970) Ridge regression: biased estimation for nonorthogonal problems. Technometrics, 12, 55-67.
    • (1970) Technometrics , vol.12 , pp. 55-67
    • Hoerl, A.E.1    Kennard, R.W.2
  • 24
    • 0017126781 scopus 로고
    • A general cardiovascular risk profile: The Framingham study
    • Kannel, W. B., McGee, D. and Gordon, T. (1976) A general cardiovascular risk profile: the Framingham study. Am. J. Cardiol., 38, 46-51.
    • (1976) Am. J. Cardiol. , vol.38 , pp. 46-51
    • Kannel, W.B.1    McGee, D.2    Gordon, T.3
  • 26
    • 27944462549 scopus 로고
    • A reference Bayesian test for nested hypotheses with large samples
    • Kass, R. E. and Wasserman, L. (1995) A reference Bayesian test for nested hypotheses with large samples. J. Am. Statist. Ass., 90, 928-934.
    • (1995) J. Am. Statist. Ass. , vol.90 , pp. 928-934
    • Kass, R.E.1    Wasserman, L.2
  • 27
    • 0007566637 scopus 로고
    • All subsets regression in a proportional hazards model
    • Kuk, A. Y. C. (1984) All subsets regression in a proportional hazards model. Biometrika, 71, 587-592.
    • (1984) Biometrika , vol.71 , pp. 587-592
    • Kuk, A.Y.C.1
  • 28
    • 0018195038 scopus 로고
    • Efficient screening of nonnormal regression models
    • Lawless, J. and Singhal, K. (1978) Efficient screening of nonnormal regression models. Biometrics, 34, 318-327.
    • (1978) Biometrics , vol.34 , pp. 318-327
    • Lawless, J.1    Singhal, K.2
  • 29
    • 0000220791 scopus 로고    scopus 로고
    • Bayesian model averaging and model selection for Markov equivalence classes of acyclic digraphs
    • Madigan, D., Andersson, S. A., Perlman, M. and Volinsky, C. T. (1996) Bayesian model averaging and model selection for Markov equivalence classes of acyclic digraphs. Communs Statist. Theory Meth., 25, 2493-2520.
    • (1996) Communs Statist. Theory Meth. , vol.25 , pp. 2493-2520
    • Madigan, D.1    Andersson, S.A.2    Perlman, M.3    Volinsky, C.T.4
  • 30
    • 84950179515 scopus 로고
    • Elicting prior information to enhance the predictive performance of Bayesian graphical models
    • Madigan, D., Gavrin, J. and Raftery, A. E. (1995) Elicting prior information to enhance the predictive performance of Bayesian graphical models. Communs Statist. Theory Meth., 24, 2271-2292.
    • (1995) Communs Statist. Theory Meth. , vol.24 , pp. 2271-2292
    • Madigan, D.1    Gavrin, J.2    Raftery, A.E.3
  • 31
    • 84950945692 scopus 로고
    • Model selection and accounting for model uncertainty in graphical models using Occam's Window
    • Madigan, D. and Raftery, A. E. (1994) Model selection and accounting for model uncertainty in graphical models using Occam's Window. J. Am. Statist. Ass., 89, 1535-1546.
    • (1994) J. Am. Statist. Ass. , vol.89 , pp. 1535-1546
    • Madigan, D.1    Raftery, A.E.2
  • 32
    • 21844520724 scopus 로고
    • Bayesian graphical models for discrete data
    • Madigan, D. and York, J. (1995) Bayesian graphical models for discrete data. Int. Statist. Rev., 63, 215-232.
    • (1995) Int. Statist. Rev. , vol.63 , pp. 215-232
    • Madigan, D.1    York, J.2
  • 33
    • 0015536026 scopus 로고
    • Natural history of stroke in Rochester, Minnesota, 1955 through 1969: An extension of a previous study, 1945 through 1954
    • Matsumoto, N., Whisnant, J. P., Kurland, L. T. and Okazaki, H. (1973) Natural history of stroke in Rochester, Minnesota, 1955 through 1969: an extension of a previous study, 1945 through 1954. Stroke, 4, 20-25.
    • (1973) Stroke , vol.4 , pp. 20-25
    • Matsumoto, N.1    Whisnant, J.P.2    Kurland, L.T.3    Okazaki, H.4
  • 35
    • 0000297493 scopus 로고    scopus 로고
    • Approximate Bayes factors and accounting for model uncertainty in generalised linear models
    • Raftery, A. E. (1996) Approximate Bayes factors and accounting for model uncertainty in generalised linear models. Biometrika, 83, 251-266.
    • (1996) Biometrika , vol.83 , pp. 251-266
    • Raftery, A.E.1
  • 36
    • 0031506560 scopus 로고
    • Bayesian model averaging in linear regression models
    • Raftery, A. E., Madigan, D. and Hoeting, J. (1993) Bayesian model averaging in linear regression models. J. Am. Statist. Ass., 92, 179-191.
    • (1993) J. Am. Statist. Ass. , vol.92 , pp. 179-191
    • Raftery, A.E.1    Madigan, D.2    Hoeting, J.3
  • 37
    • 0001348541 scopus 로고
    • Accounting for model uncertainty in survival analysis improves predictive performance
    • eds J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith, Oxford: Oxford University Press
    • Raftery, A. E., Madigan, D. and Volinsky, C. T. (1995) Accounting for model uncertainty in survival analysis improves predictive performance (with discussion). In Bayesian Statistics 5 (eds J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith), pp. 323-349. Oxford: Oxford University Press.
    • (1995) Bayesian Statistics , vol.5 , pp. 323-349
    • Raftery, A.E.1    Madigan, D.2    Volinsky, C.T.3
  • 38
    • 0025831223 scopus 로고
    • The effects of model selection on confidence intervals for the size of a closed population
    • Regal, R. and Hook, E. B. (1991) The effects of model selection on confidence intervals for the size of a closed population. Statist. Med., 10, 717-721.
    • (1991) Statist. Med. , vol.10 , pp. 717-721
    • Regal, R.1    Hook, E.B.2
  • 39
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz, G. (1978) Estimating the dimension of a model. Ann. Statist., 6, 461-464.
    • (1978) Ann. Statist. , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 40
    • 0001485109 scopus 로고
    • Robust likelihood calculation for time series
    • Taplin, R. H. (1993) Robust likelihood calculation for time series. J. R. Statist. Soc. B, 55, 829-836.
    • (1993) J. R. Statist. Soc. B , vol.55 , pp. 829-836
    • Taplin, R.H.1
  • 41
    • 0028100105 scopus 로고
    • Analysis of agricultural field trials in the presence of outliers and fertility jumps
    • Taplin, R. H. and Raftery, A. E. (1994) Analysis of agricultural field trials in the presence of outliers and fertility jumps. Biometrics, 50, 764-781.
    • (1994) Biometrics , vol.50 , pp. 764-781
    • Taplin, R.H.1    Raftery, A.E.2


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