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Volumn 98, Issue 1, 2011, Pages 163-175

A unified framework for studying parameter identifiability and estimation in biased sampling designs

Author keywords

Case control design; Matched case control design; Outcome dependent sampling design; Profile likelihood; Weak identifiability

Indexed keywords


EID: 79952144843     PISSN: 00063444     EISSN: 14643510     Source Type: Journal    
DOI: 10.1093/biomet/asq059     Document Type: Article
Times cited : (5)

References (23)
  • 1
    • 77956889283 scopus 로고
    • Separate sample logistic discrimination
    • ANDERSON, J. A. (1972). Separate sample logistic discrimination. Biometrika 59, 19-35.
    • (1972) Biometrika , vol.59 , pp. 19-35
    • Anderson, J.A.1
  • 2
    • 0017156034 scopus 로고
    • Regression analysis of the log odds ratio: A method for retrospective studies
    • BRESLOW, N. E. (1976). Regression analysis of the log odds ratio: a method for retrospective studies. Biometrics 32, 409-16.
    • (1976) Biometrics , vol.32 , pp. 409-416
    • Breslow, N.E.1
  • 3
    • 0002139924 scopus 로고
    • Odds ratio estimators when the data are sparse
    • BRESLOW, N. E. (1981). Odds ratio estimators when the data are sparse. Biometrika 68, 73-84.
    • (1981) Biometrika , vol.68 , pp. 73-84
    • Breslow, N.E.1
  • 6
    • 12744255341 scopus 로고    scopus 로고
    • Semiparametric maximum likelihood estimation exploiting gene-environment independence in case-control studies
    • DOI 10.1093/biomet/92.2.399
    • CHATTERJEE, N. & CARROLL, R. J. (2005). Semiparametric maximum likelihood estimation exploiting geneenvironment independence in case-control studies. Biometrika 92, 399-418. (Pubitemid 40937643)
    • (2005) Biometrika , vol.92 , Issue.2 , pp. 399-418
    • Chatterjee, N.1    Carroll, R.J.2
  • 8
    • 10844243798 scopus 로고    scopus 로고
    • Nonparametric and semiparametric models for missing covariates in parametric regression
    • DOI 10.1198/016214504000001727
    • CHEN, H. Y. (2004).Nonparametric and semiparametric models formissing covariates in parametric regressions. J. Am. Statist. Assoc. 99, 1176-89. (Pubitemid 39665961)
    • (2004) Journal of the American Statistical Association , vol.99 , Issue.468 , pp. 1176-1189
    • Chen, H.Y.1
  • 9
    • 34547690802 scopus 로고    scopus 로고
    • A semiparametric odds ratio model for measuring association
    • CHEN, H. Y. (2007). A semiparametric odds ratio model for measuring association. Biometrics 63, 413-21.
    • (2007) Biometrics , vol.63 , pp. 413-421
    • Chen, H.Y.1
  • 10
    • 77049113735 scopus 로고    scopus 로고
    • Compatibility of conditionally specified models
    • CHEN, H. Y. (2010). Compatibility of conditionally specified models. Statist. Prob. Lett. 80, 670-7.
    • (2010) Statist. Prob. Lett. , vol.80 , pp. 670-677
    • Chen, H.Y.1
  • 12
    • 0030769455 scopus 로고    scopus 로고
    • Re-using data from case-control studies
    • DOI 10.1002/(SICI)1097-0258(19970630)16:12<1377::AID-SIM557>3.0. CO;2-K
    • LEE, A. J.,MCMURCHY, L. & SCOTT, A. J. (1997). Re-using data from case-control studies. Statist. Med. 16, 1377-89. (Pubitemid 27292270)
    • (1997) Statistics in Medicine , vol.16 , Issue.12 , pp. 1377-1389
    • Lee, A.J.1    McMurchy, L.2    Scott, A.J.3
  • 13
    • 0001367789 scopus 로고
    • Odds ratio inference with dependent data
    • LIANG, K. Y. (1985). Odds ratio inference with dependent data. Biometrika 72, 678-82.
    • (1985) Biometrika , vol.72 , pp. 678-682
    • Liang, K.Y.1
  • 14
    • 0034354047 scopus 로고    scopus 로고
    • Regression analysis under non-standard situations: A pairwise pseudolikelihood approach
    • LIANG, K. Y. & QIN, J. (2000). Regression analysis under non-standard situations: a pairwise pseudolikelihood approach. J. R. Statist. Soc. B 62, 773-86.
    • (2000) J. R. Statist. Soc. B , vol.62 , pp. 773-786
    • Liang, K.Y.1    Qin, J.2
  • 15
    • 0028999915 scopus 로고
    • Logistic regression in case-control studies: The effect of using indepedent variables
    • NAGELKERKE, N. J. D., MOSES, S., PLUMMER, F. A., BRUNHAM, R. C. & FISH, D. (1995). Logistic regression in case-control studies: the effect of using indepedent variables. Statist. Med. 14, 769-75.
    • (1995) Statist. Med. , vol.14 , pp. 769-775
    • Nagelkerke, N.J.D.1    Moses, S.2    Plummer, F.A.3    Brunham, R.C.4    Fish, D.5
  • 16
    • 10044254707 scopus 로고    scopus 로고
    • The association between two random elements: A complete characterization and odds ratio models
    • DOI 10.1007/s001840300309
    • OSIUS, G. (2005). The association between two random elements: a complete characterization and odds ratio models. Metrika 60, 261-77. (Pubitemid 39604492)
    • (2004) Metrika , vol.60 , Issue.3 , pp. 261-277
    • Osius, G.1
  • 17
    • 0028089404 scopus 로고
    • Non-hierarchical logistic models and case-only designs for assessing susceptibility in population-based case-control studies
    • PIEGORSCH, W. W.,WEINBERG, C. R. & TAYLOR, J. A. (1994). Non-hierarchical logistic models and case-only designs for assessing susceptibility in population based case-control studies. Statist. Med. 13, 153-62. (Pubitemid 24017109)
    • (1994) Statistics in Medicine , vol.13 , Issue.2 , pp. 153-162
    • Piegorsch, W.W.1    Weinberg, C.R.2    Taylor, J.A.3
  • 18
    • 0018671320 scopus 로고
    • Logistic disease incidence models and case-control studies
    • DOI 10.2307/2335158
    • PRENTICE, R. L. & PYKE, R. (1979). Logistic disease incidence models and case-control studies. Biometrika 66, 403-11. (Pubitemid 10218387)
    • (1979) Biometrika , vol.66 , Issue.3 , pp. 403-411
    • Prentice, R.L.1    Pyke, R.2
  • 19
    • 0000209747 scopus 로고    scopus 로고
    • A note on efficient estimation from case-control data
    • RABINOWITZ, D. (1997). A note on efficient estimation from case-control data. Biometrika 84, 486-8.
    • (1997) Biometrika , vol.84 , pp. 486-488
    • Rabinowitz, D.1
  • 20
    • 0033948380 scopus 로고    scopus 로고
    • Conditional and unconditional categorical regression models with missing covariates
    • SATTEN, G. A. & CARROLL, R. J. (2000). Conditional and unconditional categorical regression models with missing covariates. Biometrics 56, 384-8. (Pubitemid 30422625)
    • (2000) Biometrics , vol.56 , Issue.2 , pp. 384-388
    • Satten, G.A.1    Carroll, R.J.2
  • 21
    • 0002650537 scopus 로고    scopus 로고
    • Fitting regression models to case-control data by maximum likelihood
    • SCOTT, A. J. & WILD, C. J. (1997). Fitting regression models to case-control data by maximum likelihood. Biometrika 84, 57-71.
    • (1997) Biometrika , vol.84 , pp. 57-71
    • Scott, A.J.1    Wild, C.J.2
  • 22
    • 0030762960 scopus 로고    scopus 로고
    • Designing and analysing case-control studies to exploit independence of genotype and exposure
    • DOI 10.1002/(SICI)1097-0258(19970815)16:15<1731::AID-SIM595>3.0. CO;2-S
    • UMBACH, D. M. & WEINBERG, C. M. (1997). Designing and analyzing case-control studies to exploit independence of genotype and exposure. Statist. Med. 16, 1731-43. (Pubitemid 27355028)
    • (1997) Statistics in Medicine , vol.16 , Issue.15 , pp. 1731-1743
    • Umbach, D.M.1    Weinberg, C.R.2
  • 23
    • 0000355886 scopus 로고
    • Prospective analysis of case-control data under general multiplicativeintercept risk models
    • WEINBERG, C. R. & WACHOLDER, S. (1993). Prospective analysis of case-control data under general multiplicativeintercept risk models. Biometrika 80, 461-5.
    • (1993) Biometrika , vol.80 , pp. 461-465
    • Weinberg, C.R.1    Wacholder, S.2


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