메뉴 건너뛰기




Volumn 28, Issue 10, 2010, Pages 947-955

There's a reason they call them dummy variables: A note on the use of structural equation techniques in comparative effectiveness research

Author keywords

Clinical trial design; Treatment outcome

Indexed keywords

CALCULATION; COMPARATIVE EFFECTIVENESS; DATA ANALYSIS; MULTIPLE REGRESSION; NONPARAMETRIC TEST; OUTCOMES RESEARCH; PRIORITY JOURNAL; REVIEW; SCORING SYSTEM; STATISTICAL MODEL;

EID: 77956546773     PISSN: 11707690     EISSN: 11792027     Source Type: Journal    
DOI: 10.2165/11537750-000000000-00000     Document Type: Review
Times cited : (9)

References (43)
  • 1
    • 0037452530 scopus 로고    scopus 로고
    • The implications of regional variation in Medicare spending: Part the content, quality, and accessibility of care
    • Fisher E, Wennberg D, Stukel T, et al. The implications of regional variation in Medicare spending: part The content, quality, and accessibility of care. Ann Intern Med 2003; 138: 273-287
    • (2003) Ann Intern Med , vol.138 , pp. 273-287
    • Fisher, E.1    Wennberg, D.2    Stukel, T.3
  • 2
    • 0037452507 scopus 로고    scopus 로고
    • The implications of re-gional variation in medicare spending: Part Health outcomes and satisfaction with care
    • Fisher E, Wennberg D, Stukel T, et al. The implications of re-gional variation in medicare spending: part Health outcomes and satisfaction with care. Ann Intern Med 2003; 138: 288-298
    • (2003) Ann Intern Med , vol.138 , pp. 288-298
    • Fisher, E.1    Wennberg, D.2    Stukel, T.3
  • 3
    • 77956537052 scopus 로고    scopus 로고
    • Federal Coordinating Council for Comparative Effective-ness Research June 30, Washington, DC: US Department of Health and Human Services, 2009 Jun
    • Federal Coordinating Council for Comparative Effective-ness Research. Report to the President and Congress, June 30, Washington, DC: US Department of Health and Human Services, 2009 Jun
    • Report to the President and Congress
  • 4
    • 70350776529 scopus 로고    scopus 로고
    • Good research practices for comparative effectiveness research: Analytic methods to improve causal inference from non-randomized studies of treatment effects using secondary data sources. Report of the ISPOR Retrospective Database Analysis Task Force: Part III
    • Johnson M, Crown W, Martin B, et al. Good research practices for comparative effectiveness research: analytic methods to improve causal inference from non-randomized studies of treatment effects using secondary data sources. Report of the ISPOR Retrospective Database Analysis Task Force: part III. Value Health 2009; 12 (8): 1062-1073
    • (2009) Value Health , vol.12 , Issue.8 , pp. 1062-1073
    • Johnson, M.1    Crown, W.2    Martin, B.3
  • 5
    • 0001369142 scopus 로고
    • Tests of equality between sets of coefficients in two linear regressions
    • Chow G. Tests of equality between sets of coefficients in two linear regressions. Econometrica 1960; 28: 591-605
    • (1960) Econometrica , vol.28 , pp. 591-605
    • Chow, G.1
  • 7
    • 0002344794 scopus 로고
    • Bootstrap methods: Another look at the jackknife
    • Efron B. Bootstrap methods: another look at the jackknife. Ann Stat 1979; 7: 1-26
    • (1979) Ann Stat , vol.7 , pp. 1-26
    • Efron, B.1
  • 8
    • 59749089108 scopus 로고    scopus 로고
    • Adjusting for health status in non-linear models of health care disparities
    • Cook B, McGuire T, Meara E, et al. Adjusting for health status in non-linear models of health care disparities. Health Serv Outcomes Res Methodol 2009; 9: 1-21
    • (2009) Health Serv Outcomes Res Methodol , vol.9 , pp. 1-21
    • Cook, B.1    McGuire, T.2    Meara, E.3
  • 9
    • 0001544753 scopus 로고
    • Wage discrimination: Reduced form and struc-tural estimates
    • Blinder A. Wage discrimination: reduced form and struc-tural estimates. J Hum Resour 1973; 8: 436-455
    • (1973) J Hum Resour , vol.8 , pp. 436-455
    • Blinder, A.1
  • 10
    • 0001169470 scopus 로고
    • Male-female wage differentials in urban labor markets
    • Oaxaca R. Male-female wage differentials in urban labor markets. Int Econ Rev 1973; 9: 693-709
    • (1973) Int Econ Rev , vol.9 , pp. 693-709
    • Oaxaca, R.1
  • 11
    • 43949153258 scopus 로고
    • On discrimination and the decom-position of wage differentials
    • Oaxaca R, Ransom M. On discrimination and the decom-position of wage differentials. J Econom 1994; 61: 5-21
    • (1994) J Econom , vol.61 , pp. 5-21
    • Oaxaca, R.1    Ransom, M.2
  • 12
    • 0033794548 scopus 로고    scopus 로고
    • Race and ethnic disparities in health care access and utilization: An examination of state variation
    • Waidmann TA, Rajan S. Race and ethnic disparities in health care access and utilization: an examination of state variation. Med Care Res Rev 2000; 57 Suppl. 1: 55-84
    • (2000) Med Care Res Rev , vol.57 , Issue.SUPPL. 1 , pp. 55-84
    • Waidmann, T.A.1    Rajan, S.2
  • 13
    • 0033785616 scopus 로고    scopus 로고
    • Racial and ethnic differences in access to and use of health care services, 1977 to
    • Weinick RM, Zuvekas SH, Cohen JW. Racial and ethnic differences in access to and use of health care services, 1977 to Med Care Res Rev 2000; 57 Suppl. 1: 36-54
    • (2000) Med Care Res Rev , vol.57 , Issue.SUPPL. 1 , pp. 36-54
    • Weinick, R.M.1    Zuvekas, S.H.2    Cohen, J.W.3
  • 14
    • 0038621689 scopus 로고    scopus 로고
    • The contribution of insurance coverage and community resources to reducing racial/ethnic disparities in access to care
    • Hargraves JL, Hadley J. The contribution of insurance coverage and community resources to reducing racial/ethnic disparities in access to care. Health Serv Res 2003; 38 (3): 809-829
    • (2003) Health Serv Res , vol.38 , Issue.3 , pp. 809-829
    • Hargraves, J.L.1    Hadley, J.2
  • 15
    • 33646795681 scopus 로고    scopus 로고
    • Explaining racial and ethnic disparities in health care
    • Kirby JB, Taliaferro G, Zuvekas SH. Explaining racial and ethnic disparities in health care. Med Care 2006; 44 Suppl. 5: I64-72
    • (2006) Med Care , vol.44 , Issue.SUPPL. 5
    • Kirby, J.B.1    Taliaferro, G.2    Zuvekas, S.H.3
  • 16
    • 16244368010 scopus 로고    scopus 로고
    • Estimating marginal and incremental effects on health outcomes using flexible link and variance function models
    • Basu A, Rathouz PJ. Estimating marginal and incremental effects on health outcomes using flexible link and variance function models. Biostatistics 2005; 6 (1): 93-109
    • (2005) Biostatistics , vol.6 , Issue.1 , pp. 93-109
    • Basu, A.1    Rathouz, P.J.2
  • 17
    • 44649196577 scopus 로고    scopus 로고
    • A discrete choice decomposition analysis of racial and ethnic differences in children's health insurance coverage
    • Jul
    • Pylypchuk Y, Selden T. A discrete choice decomposition analysis of racial and ethnic differences in children's health insurance coverage. J Health Econ 2008 Jul; 27: 1109-1128
    • (2008) J Health Econ , vol.27 , pp. 1109-1128
    • Pylypchuk, Y.1    Selden, T.2
  • 19
    • 0348198023 scopus 로고    scopus 로고
    • Decomposing differences in the first moment
    • Yun M. Decomposing differences in the first moment. Econ Lett 2004; 82: 275-280
    • (2004) Econ Lett , vol.82 , pp. 275-280
    • Yun, M.1
  • 20
    • 77951622706 scopus 로고
    • The central role of propensity score in observational studies for causal effects
    • Rosenbaum PR, Rubin DB. The central role of propensity score in observational studies for causal effects. Biometrika 1983; 70: 41-55
    • (1983) Biometrika , vol.70 , pp. 41-55
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 21
    • 3543135271 scopus 로고    scopus 로고
    • Propensity score methods for bias reduc-tion in the comparison of a treatment to a non-randomized control group
    • D'Agostino Jr RB. Propensity score methods for bias reduc-tion in the comparison of a treatment to a non-randomized control group. Stat Med 1998 Oct 15; 17 (19): 2265-2281
    • (1998) Stat Med , vol.17 , Issue.19 , pp. 2265-2281
    • D'Agostino Jr., R.B.1
  • 22
    • 33645236260 scopus 로고    scopus 로고
    • Variable selection for propensity score models
    • Jun 15
    • Brookhart MA, Schneeweiss S, Rothman KJ, et al. Variable selection for propensity score models. Am J Epidemiol 2006 Jun 15; 163 (12): 1149-1156
    • (2006) Am J Epidemiol , vol.163 , Issue.12 , pp. 1149-1156
    • Brookharta, M.A.1    Schneeweiss, S.2    Rothman, K.J.3
  • 23
    • 33747117285 scopus 로고    scopus 로고
    • Propensity score anal-ysis in observational studies: Outcomes following abdominal aortic aneurysm repair
    • Sep
    • Johnson ML, Bush RL, Collins TC, et al. Propensity score anal-ysis in observational studies: outcomes following abdominal aortic aneurysm repair. Am J Surg 2006 Sep; 192 (3): 336-343
    • (2006) Am J Surg , vol.192 , Issue.3 , pp. 336-343
    • Johnson, M.L.1    Bush, R.L.2    Collins, T.C.3
  • 24
    • 34447547659 scopus 로고    scopus 로고
    • Developments in post-marketing compara-tive effectiveness research
    • Aug
    • Schneeweiss S. Developments in post-marketing compara-tive effectiveness research. Clin Pharmacol Ther 2007 Aug; 82 (2): 143-156
    • (2007) Clin Pharmacol Ther , vol.82 , Issue.2 , pp. 143-156
    • Schneeweiss, S.1
  • 25
    • 34848867584 scopus 로고    scopus 로고
    • Use of propensity score technique to account for exposure-related covariates: An example and lesson
    • Oct
    • Seeger JD, Kurth T, Walker AM. Use of propensity score technique to account for exposure-related covariates: an example and lesson. Med Care 2007 Oct; 45 (10 Suppl. 2): S143-8
    • (2007) Med Care , vol.45 , Issue.10 SUPPL. 2
    • Seeger, J.D.1    Kurth, T.2    Walker, A.M.3
  • 26
    • 0000724291 scopus 로고    scopus 로고
    • The role of the propensity score in estimating dose-response functions
    • Imbens G. The role of the propensity score in estimating dose-response functions. Biometrika 2000; 87 (3): 706-710
    • (2000) Biometrika , vol.87 , Issue.3 , pp. 706-710
    • Imbens, G.1
  • 27
    • 3042855329 scopus 로고    scopus 로고
    • Who invented instrumental variables regression?
    • Stock JH, Trebbi F. Who invented instrumental variables regression? J Econ Persp 2003; 17 (3): 177-194
    • (2003) J Econ Persp , vol.17 , Issue.3 , pp. 177-194
    • Stock, J.H.1    Trebbi, F.2
  • 30
    • 0001766028 scopus 로고
    • The common structure of statistical models of truncation, sample selection, and limited dependent variables and an estimator for such models
    • Heckman J. The common structure of statistical models of truncation, sample selection, and limited dependent variables and an estimator for such models. Ann Econ Soc Measure 1976; 5: 475-492
    • (1976) Ann Econ Soc Measure , vol.5 , pp. 475-492
    • Heckman, J.1
  • 31
    • 0000125534 scopus 로고
    • Sample selection as a specification error
    • Heckman J. Sample selection as a specification error. Econo-metrica 1979; 47 (1): 153-161
    • (1979) Econo-metrica , vol.47 , Issue.1 , pp. 153-161
    • Heckman, J.1
  • 32
    • 0031912692 scopus 로고    scopus 로고
    • Antidepressant selec-tion and use and healthcare expenditures: An empirical approach
    • Crown WH, Hylan TR, Meneades L. Antidepressant selec-tion and use and healthcare expenditures: an empirical approach. Pharmacoeconomics 1998; 13 (4): 435-448
    • (1998) Pharmacoeconomics , vol.13 , Issue.4 , pp. 435-448
    • Crown, W.H.1    Hylan, T.R.2    Meneades, L.3
  • 33
    • 0031670364 scopus 로고    scopus 로고
    • Application of sample selection models to outcomes research: The case of evaluating effects of antidepressant therapy on resource utilization
    • Crown WH, Obenchain RL, Englehart L, et al. Application of sample selection models to outcomes research: the case of evaluating effects of antidepressant therapy on resource utilization. Stat Med 1998; 17 (17): 1943-1958
    • (1998) Stat Med , vol.17 , Issue.17 , pp. 1943-1958
    • Crown, W.H.1    Obenchain, R.L.2    Englehart, L.3
  • 34
    • 0037338809 scopus 로고    scopus 로고
    • An exploratory instrumental variable analysis of the outcomes of localized breast cancer treatments in a Medicare population
    • Hadley J, Polsky D, Mandelblatt JS, et al. An exploratory instrumental variable analysis of the outcomes of localized breast cancer treatments in a Medicare population. Health Econ 2003; 12: 171-186
    • (2003) Health Econ , vol.12 , pp. 171-186
    • Hadley, J.1    Polsky, D.2    Mandelblatt, J.S.3
  • 35
    • 84950436210 scopus 로고
    • Comparing public and private schools: The puzzling role of selectivity bias
    • Murnane R, Newstead S, Olsen R. Comparing public and private schools: the puzzling role of selectivity bias. J Bus Econ Stat 1985; 3 (1): 23-35
    • (1985) J Bus Econ Stat , vol.3 , Issue.1 , pp. 23-35
    • Murnane, R.1    Newstead, S.2    Olsen, R.3
  • 36
    • 84871768280 scopus 로고
    • Problems with instru-mental variables estimation when the correlation between the instruments and the endogenous explanatory variable is weak
    • Bound J, Jaeger DA, Baker RM. Problems with instru-mental variables estimation when the correlation between the instruments and the endogenous explanatory variable is weak. J Am Stat Assoc 1995; 90 (430): 443-450
    • (1995) J Am Stat Assoc , vol.90 , Issue.430 , pp. 443-450
    • Bound, J.1    Jaeger, D.A.2    Baker, R.M.3
  • 37
    • 0346307687 scopus 로고    scopus 로고
    • Instrumental variables regression with weak instruments
    • Staiger D, Stock JH. Instrumental variables regression with weak instruments. Econometrica 1997; 65: 557-586
    • (1997) Econometrica , vol.65 , pp. 557-586
    • Staiger, D.1    Stock, J.H.2
  • 38
    • 0036220263 scopus 로고    scopus 로고
    • A new specification test for the validity of instrumental variables
    • Hahn J, Hausman J. A new specification test for the validity of instrumental variables. Econometrica 2002; 70: 163-189
    • (2002) Econometrica , vol.70 , pp. 163-189
    • Hahn, J.1    Hausman, J.2
  • 39
    • 0347354941 scopus 로고    scopus 로고
    • Bayesian and classical approaches to instrumental variables regression
    • Kleibergen F, Zivot E. Bayesian and classical approaches to instrumental variables regression. J Econom 2003; 114: 29-72
    • (2003) J Econom , vol.114 , pp. 29-72
    • Kleibergen, F.1    Zivot, E.2
  • 40
    • 33847310728 scopus 로고    scopus 로고
    • Avoiding invalid instruments and coping with weak instruments
    • Murray M. Avoiding invalid instruments and coping with weak instruments. J Econ Persp 2007; 20 (4): 111-132
    • (2007) J Econ Persp , vol.20 , Issue.4 , pp. 111-132
    • Murray, M.1
  • 41
    • 77953519101 scopus 로고    scopus 로고
    • Instrumental variable methods in comparative safety and effectiveness research
    • Brookhart MA, Rassen JA, Schneeweiss S. Instrumental variable methods in comparative safety and effectiveness research. Pharmacoepidemiol Drug Saf 2010; 19 (6): 537-554
    • (2010) Pharmacoepidemiol Drug Saf , vol.19 , Issue.6 , pp. 537-554
    • Brookharta, M.A.1    Rassen, J.A.2    Schneeweiss, S.3
  • 42
    • 35948945718 scopus 로고    scopus 로고
    • Use of in-strumental variables in the presence of heterogeneity and self-selection: An application to treatments of breast cancer patients
    • Basu A, Heckman JJ, Navarro-Lozano S, et al. Use of in-strumental variables in the presence of heterogeneity and self-selection: an application to treatments of breast cancer patients. Health Econ 2007; 16 (11): 1133-1157
    • (2007) Health Econ , vol.16 , Issue.11 , pp. 1133-1157
    • Basu, A.1    Heckman, J.J.2    Navarro-Lozano, S.3
  • 43
    • 77956532352 scopus 로고    scopus 로고
    • The American Recovery and Reinvestment Act of 2009, HR1, 111th Cong
    • The American Recovery and Reinvestment Act of 2009, HR1, 111th Cong.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.