메뉴 건너뛰기




Volumn 29, Issue 28, 2010, Pages 2869-2879

Links between analysis of surrogate endpoints and endogeneity

Author keywords

Clinical trial; Counterfactual; Nonlinear response; Prentice criterion; Structural equations model

Indexed keywords

ALGORITHM; ARTICLE; BOOTSTRAPPING; CONCEPTUAL FRAMEWORK; CORRELATION ANALYSIS; CORRELATION COEFFICIENT; COVARIANCE; CRITERION VARIABLE; GLAUCOMA; INSTRUMENT VALIDATION; INTRAOCULAR PRESSURE; LINEAR REGRESSION ANALYSIS; MATHEMATICAL COMPUTING; PROCESS DEVELOPMENT; QUANTITATIVE STUDY; RANDOMIZATION; RISK FACTOR; SENSITIVITY ANALYSIS; STATISTICAL ANALYSIS; STRATIFIED SAMPLE; STRUCTURAL EQUATION MODELING; VALIDATION PROCESS;

EID: 78649606132     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4027     Document Type: Article
Times cited : (7)

References (31)
  • 1
    • 0024520844 scopus 로고
    • Surrogate endpoints in clinical trials: definition and operational criteria
    • DOI: 10.1002/sim.4780080407.
    • Prentice RL. Surrogate endpoints in clinical trials: definition and operational criteria. Statistics in Medicine 1989; 8:431-440. DOI: 10.1002/sim.4780080407.
    • (1989) Statistics in Medicine , vol.8 , pp. 431-440
    • Prentice, R.L.1
  • 2
    • 33745203168 scopus 로고    scopus 로고
    • The Evaluation of Surrogate Endpoints
    • Springer: New York, DOI: 10.1007/b138566.
    • Burzykowski T, Molenberghs G, Buyse M. The Evaluation of Surrogate Endpoints. Springer: New York, 2005. DOI: 10.1007/b138566.
    • (2005)
    • Burzykowski, T.1    Molenberghs, G.2    Buyse, M.3
  • 3
    • 0030777744 scopus 로고    scopus 로고
    • Meta-analysis for the evaluation of potential surrogate markers
    • Daniels MJ, Hughes MD. Meta-analysis for the evaluation of potential surrogate markers. Statistics in Medicine 1997; 16:1965-1982.
    • (1997) Statistics in Medicine , vol.16 , pp. 1965-1982
    • Daniels, M.J.1    Hughes, M.D.2
  • 4
    • 0001609187 scopus 로고    scopus 로고
    • On meta-analytic assessment of surrogate outcomes
    • DOI: 10.1093/biostatistics/1.3.231.
    • Gail M, Pfeiffer R, Houwelingen HCV, Carroll RJ. On meta-analytic assessment of surrogate outcomes. Biostatistics 2000; 1:231-246. DOI: 10.1093/biostatistics/1.3.231.
    • (2000) Biostatistics , vol.1 , pp. 231-246
    • Gail, M.1    Pfeiffer, R.2    Houwelingen, H.C.V.3    Carroll, R.J.4
  • 5
    • 0026556155 scopus 로고
    • Identifiability and exchangeability of direct and indirect effects
    • DOI: 10.1097/00001648-199203000-00013.
    • Robins JM, Greenland S. Identifiability and exchangeability of direct and indirect effects. International Journal of Epidemiology 1992; 3:143-155. DOI: 10.1097/00001648-199203000-00013.
    • (1992) International Journal of Epidemiology , vol.3 , pp. 143-155
    • Robins, J.M.1    Greenland, S.2
  • 6
    • 0003398906 scopus 로고    scopus 로고
    • Causality: Models, Reasoning and Inference
    • Cambridge University Press: Cambridge,
    • Pearl J. Causality: Models, Reasoning and Inference. Cambridge University Press: Cambridge, 2001.
    • (2001)
    • Pearl, J.1
  • 7
    • 0036188782 scopus 로고    scopus 로고
    • Principal stratification in casual inference
    • DOI: 10.1111/j.0006-341X.2002.00021.x.
    • Frangakis CE, Rubin DB. Principal stratification in casual inference. Biometrics 2002; 58:21-29. DOI: 10.1111/j.0006-341X.2002.00021.x.
    • (2002) Biometrics , vol.58 , pp. 21-29
    • Frangakis, C.E.1    Rubin, D.B.2
  • 8
    • 56049086418 scopus 로고    scopus 로고
    • Evaluating candidate principal surrogate endpoints
    • DOI: 10.1111/j.1541-0420.2008.01014.x.
    • Gilbert PB, Hudgens MG. Evaluating candidate principal surrogate endpoints. Biometrics 2008; 64:1146-1154. DOI: 10.1111/j.1541-0420.2008.01014.x.
    • (2008) Biometrics , vol.64 , pp. 1146-1154
    • Gilbert, P.B.1    Hudgens, M.G.2
  • 9
    • 77952987667 scopus 로고    scopus 로고
    • A Bayesian approach to surrogacy assessment using principal stratification in clinical trials
    • published online August 10. DOI: 10.1111/j.1541-0420.2009.01303.x.
    • Li Y, Taylor JMG, Elliott MR. A Bayesian approach to surrogacy assessment using principal stratification in clinical trials. Biometrics 2009; published online August 10. DOI: 10.1111/j.1541-0420.2009.01303.x.
    • (2009) Biometrics
    • Li, Y.1    Taylor, J.M.G.2    Elliott, M.R.3
  • 10
    • 33644859247 scopus 로고    scopus 로고
    • Counterfactual links to the proportion of treatment effect explained by a surrogate marker
    • DOI: 10.1111/j.1541-0420.2005.00380.x.
    • Taylor JMG, Wang Y, Thiebaut R. Counterfactual links to the proportion of treatment effect explained by a surrogate marker. Biometrics 2005; 61:1102-1111. DOI: 10.1111/j.1541-0420.2005.00380.x.
    • (2005) Biometrics , vol.61 , pp. 1102-1111
    • Taylor, J.M.G.1    Wang, Y.2    Thiebaut, R.3
  • 11
    • 0026573094 scopus 로고
    • Statistical validation of intermediate endpoints for chronic disease
    • DOI: 10.1002/sim.4780110204.
    • Freedman LS, Graubard BI, Schatzkin A. Statistical validation of intermediate endpoints for chronic disease. Statistics in Medicine 1992; 11:167-178. DOI: 10.1002/sim.4780110204.
    • (1992) Statistics in Medicine , vol.11 , pp. 167-178
    • Freedman, L.S.1    Graubard, B.I.2    Schatzkin, A.3
  • 12
    • 66949158002 scopus 로고    scopus 로고
    • Related causal frameworks for surrogate outcomes
    • DOI: 10.1111/j.1541-0420.2008.01106.x.
    • Joffe MM, Greene T. Related causal frameworks for surrogate outcomes. Biometrics 2008; 65:530-538. DOI: 10.1111/j.1541-0420.2008.01106.x.
    • (2008) Biometrics , vol.65 , pp. 530-538
    • Joffe, M.M.1    Greene, T.2
  • 13
    • 0003496954 scopus 로고    scopus 로고
    • The Statistical Analysis of Failure Time Data
    • Wiley: New York,
    • Kalbfleisch JD, Prentice RL. The Statistical Analysis of Failure Time Data. Wiley: New York, 2002.
    • (2002)
    • Kalbfleisch, J.D.1    Prentice, R.L.2
  • 14
    • 0003747520 scopus 로고
    • The Econometric Analysis of Transition Data
    • Cambridge University Press: Cambridge,
    • Lancaster T. The Econometric Analysis of Transition Data. Cambridge University Press: Cambridge, 1990.
    • (1990)
    • Lancaster, T.1
  • 15
    • 0031708453 scopus 로고    scopus 로고
    • Criteria for the validation of surrogate endpoints in randomized experiments
    • DOI: 10.2307/2533853.
    • Buyse M, Molenberghs G. Criteria for the validation of surrogate endpoints in randomized experiments. Biometrics 1998; 54:1014-1029. DOI: 10.2307/2533853.
    • (1998) Biometrics , vol.54 , pp. 1014-1029
    • Buyse, M.1    Molenberghs, G.2
  • 16
    • 77956889184 scopus 로고
    • Causal diagrams for empirical research (with Discussion)
    • DOI: 10.1093/biomet/82.4.702.
    • Pearl J. Causal diagrams for empirical research (with Discussion). Biometrika 1995; 82:669-710. DOI: 10.1093/biomet/82.4.702.
    • (1995) Biometrika , vol.82 , pp. 669-710
    • Pearl, J.1
  • 17
    • 0000250716 scopus 로고
    • Specification tests in econometrics
    • DOI: 10.2307/1913827.
    • Hausman JA. Specification tests in econometrics. Econometrica 1978; 46:1251-1271. DOI: 10.2307/1913827.
    • (1978) Econometrica , vol.46 , pp. 1251-1271
    • Hausman, J.A.1
  • 20
    • 2442710212 scopus 로고    scopus 로고
    • Does the Prentice criterion validate surrogate endpoints?
    • DOI: 10.1002/sim.1780.
    • Berger VW. Does the Prentice criterion validate surrogate endpoints? Statistics in Medicine 2004; 23:1571-1578. DOI: 10.1002/sim.1780.
    • (2004) Statistics in Medicine , vol.23 , pp. 1571-1578
    • Berger, V.W.1
  • 21
    • 0036966524 scopus 로고    scopus 로고
    • A measure of the proportion of treatment effect explained by a surrogate marker
    • DOI: 10.1111/j.0006-341X.2002.00803.x.
    • Wang Y, Taylor JM. A measure of the proportion of treatment effect explained by a surrogate marker. Biometrics 2002; 58:803-812. DOI: 10.1111/j.0006-341X.2002.00803.x.
    • (2002) Biometrics , vol.58 , pp. 803-812
    • Wang, Y.1    Taylor, J.M.2
  • 23
    • 78649539560 scopus 로고
    • Instrumental variables estimation of average treatment effects in econometrics and epidemiology. Working Paper 115, National Bureau of Economics Research. .
    • Angrist JD. Instrumental variables estimation of average treatment effects in econometrics and epidemiology. Working Paper 115, National Bureau of Economics Research. 1991.
    • (1991)
    • Angrist, J.D.1
  • 24
    • 31744437790 scopus 로고    scopus 로고
    • Estimating probit models with self-selected treatments
    • DOI: 10.1002/sim.2226.
    • Bhattacharya J, Goldman D, McCaffrey D. Estimating probit models with self-selected treatments. Statistics in Medicine 2006; 25:389-413. DOI: 10.1002/sim.2226.
    • (2006) Statistics in Medicine , vol.25 , pp. 389-413
    • Bhattacharya, J.1    Goldman, D.2    McCaffrey, D.3
  • 25
    • 0001863948 scopus 로고    scopus 로고
    • The validation of surrogate endpoints in meta-analyses of randomized experiments
    • DOI: 10.1093/biostatistics/1.1.49.
    • Buyse M, Molenberghs G, Burzykowski T, Renard D, Geys H. The validation of surrogate endpoints in meta-analyses of randomized experiments. Biostatistics 2000; 1:49-67. DOI: 10.1093/biostatistics/1.1.49.
    • (2000) Biostatistics , vol.1 , pp. 49-67
    • Buyse, M.1    Molenberghs, G.2    Burzykowski, T.3    Renard, D.4    Geys, H.5
  • 26
    • 43549116852 scopus 로고    scopus 로고
    • Two-stage residual inclusion estimation: addressing endogeneity in health econometric modeling
    • DOI: 10.1016/j.jhealeco.2007.09.009.
    • Terza JV, Basu A, Rathouz P. Two-stage residual inclusion estimation: addressing endogeneity in health econometric modeling. Journal of Health Economics 2008; 27:531-543. DOI: 10.1016/j.jhealeco.2007.09.009.
    • (2008) Journal of Health Economics , vol.27 , pp. 531-543
    • Terza, J.V.1    Basu, A.2    Rathouz, P.3
  • 27
    • 66149118224 scopus 로고    scopus 로고
    • Assessing the credibility of instrumental variables inference with imperfect instruments via sensitivity analysis
    • DOI: 10.1002/jae.1044.
    • Ashley R. Assessing the credibility of instrumental variables inference with imperfect instruments via sensitivity analysis. Journal of Applied Econometrics 2009; 24:325-337. DOI: 10.1002/jae.1044.
    • (2009) Journal of Applied Econometrics , vol.24 , pp. 325-337
    • Ashley, R.1
  • 28
    • 0033511527 scopus 로고    scopus 로고
    • The collaborative initial glaucoma treatment study (CIGTS): Study design, methods, and baseline characteristics of enrolled patients
    • CIGTS investigators. DOI: 10.1016/S0161-6420(99)90147-1.
    • Musch DC, Lichter PR, Guire KE, Standardi CL. CIGTS investigators. The collaborative initial glaucoma treatment study (CIGTS): Study design, methods, and baseline characteristics of enrolled patients. Ophthalmology 1999; 106:653-662. DOI: 10.1016/S0161-6420(99)90147-1.
    • (1999) Ophthalmology , vol.106 , pp. 653-662
    • Musch, D.C.1    Lichter, P.R.2    Guire, K.E.3    Standardi, C.L.4
  • 29
    • 33846436128 scopus 로고    scopus 로고
    • Analysis of observational studies in the presence of treatment selection bias: effects of invasive cardiac management on AMI survival using propensity score and instrumental variable methods
    • DOI: 10.1001/jama.297.3.278.
    • Stukel TA, Fisher ES, Wennberg DE, Alter DA, Gottlieb DJ, Vermeulen MJ. Analysis of observational studies in the presence of treatment selection bias: effects of invasive cardiac management on AMI survival using propensity score and instrumental variable methods. Journal of the American Medical Association 2007; 297:278-285. DOI: 10.1001/jama.297.3.278.
    • (2007) Journal of the American Medical Association , vol.297 , pp. 278-285
    • Stukel, T.A.1    Fisher, E.S.2    Wennberg, D.E.3    Alter, D.A.4    Gottlieb, D.J.5    Vermeulen, M.J.6
  • 30
    • 44949156585 scopus 로고    scopus 로고
    • Identification of causal parameters in randomized studies with mediating variables
    • DOI: 10.3102/1076998607307239.
    • Sobel ME. Identification of causal parameters in randomized studies with mediating variables. Journal of Educational and Behavioral Statistics 2008; 33:230-251. DOI: 10.3102/1076998607307239.
    • (2008) Journal of Educational and Behavioral Statistics , vol.33 , pp. 230-251
    • Sobel, M.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.