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Volumn 182, Issue 6, 2015, Pages 535-543

Clustering and Residual Confounding in the Application of Marginal Structural Models: Dialysis Modality, Vascular Access, and Mortality

Author keywords

Clinical registries; clustering; dialysis; marginal structural model; unmeasured confounding

Indexed keywords

CREATININE;

EID: 84940761765     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwv090     Document Type: Article
Times cited : (13)

References (33)
  • 1
    • 0033847784 scopus 로고    scopus 로고
    • Marginal structural models and causal inference in epidemiology
    • Robins JM, Hernán MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology. 2000;11(5):550-560.
    • (2000) Epidemiology , vol.11 , Issue.5 , pp. 550-560
    • Robins, J.M.1    Hernán, M.A.2    Brumback, B.3
  • 2
    • 1542784246 scopus 로고    scopus 로고
    • Marginal structural models to estimate the joint causal effect of nonrandomized treatments
    • Hernán MA, Brumback B, Robins JM. Marginal structural models to estimate the joint causal effect of nonrandomized treatments. J Am Stat Assoc. 2001;96(454):440-448.
    • (2001) J Am Stat Assoc , vol.96 , Issue.454 , pp. 440-448
    • Hernán, M.A.1    Brumback, B.2    Robins, J.M.3
  • 3
    • 8744315994 scopus 로고    scopus 로고
    • Model selection, confounder control, and marginal structural models: Review and new applications
    • Joffe MM, Ten Have TR, Feldman HI, et al. Model selection, confounder control, and marginal structural models: review and new applications. Am Stat. 2004;58(4):272-279.
    • (2004) Am Stat , vol.58 , Issue.4 , pp. 272-279
    • Joffe, M.M.1    Ten Have, T.R.2    Feldman, H.I.3
  • 4
    • 84880301538 scopus 로고    scopus 로고
    • Propensity score weighting with multilevel data
    • Li F, Zaslavsky AM, Landrum MB. Propensity score weighting with multilevel data. Stat Med. 2013;32(19):3373-3387.
    • (2013) Stat Med , vol.32 , Issue.19 , pp. 3373-3387
    • Li, F.1    Zaslavsky, A.M.2    Landrum, M.B.3
  • 5
    • 84855705870 scopus 로고    scopus 로고
    • Use of 13 disease registries in 5 countries demonstrates the potential to use outcome data to improve health care's value
    • Larsson S, Lawyer P, Garellick G, et al. Use of 13 disease registries in 5 countries demonstrates the potential to use outcome data to improve health care's value. Health Aff (Millwood). 2012;31(1):220-227.
    • (2012) Health Aff (Millwood) , vol.31 , Issue.1 , pp. 220-227
    • Larsson, S.1    Lawyer, P.2    Garellick, G.3
  • 7
    • 39049192323 scopus 로고    scopus 로고
    • Mortality studies comparing peritoneal dialysis and hemodialysis: What do they tell us?
    • Vonesh EF, Snyder JJ, Foley RN, et al. Mortality studies comparing peritoneal dialysis and hemodialysis: What do they tell us? Kidney Int Suppl. 2006;70(103):S3-S11.
    • (2006) Kidney Int Suppl , vol.70 , Issue.103 , pp. S3-S11
    • Vonesh, E.F.1    Snyder, J.J.2    Foley, R.N.3
  • 8
    • 84908571604 scopus 로고    scopus 로고
    • Survival of propensity matched incident peritoneal and hemodialysis patients in a United States health care system
    • Kumar VA, Sidell MA, Jones JP, et al. Survival of propensity matched incident peritoneal and hemodialysis patients in a United States health care system. Kidney Int. 2014;86(5): 1016-1022.
    • (2014) Kidney Int , vol.86 , Issue.5 , pp. 1016-1022
    • Kumar, V.A.1    Sidell, M.A.2    Jones, J.P.3
  • 9
    • 60149090019 scopus 로고    scopus 로고
    • Vascular access practice in hemodialysis: Instrumental in determining patient mortality
    • Polkinghorne KR. Vascular access practice in hemodialysis: instrumental in determining patient mortality. Am J Kidney Dis. 2009;53(3):359-362.
    • (2009) Am J Kidney Dis , vol.53 , Issue.3 , pp. 359-362
    • Polkinghorne, K.R.1
  • 10
    • 80054974591 scopus 로고    scopus 로고
    • Home hemodialysis and mortality risk in Australian and New Zealand populations
    • Marshall MR, Hawley CM, Kerr PG, et al. Home hemodialysis and mortality risk in Australian and New Zealand populations. Am J Kidney Dis. 2011;58(5):782-793.
    • (2011) Am J Kidney Dis , vol.58 , Issue.5 , pp. 782-793
    • Marshall, M.R.1    Hawley, C.M.2    Kerr, P.G.3
  • 11
    • 0021684971 scopus 로고
    • Controlled comparison of hemodialysis and peritoneal dialysis: Veterans Administration Multicenter Study
    • Gutman RA, Blumenkrantz MJ, Chan YK, et al. Controlled comparison of hemodialysis and peritoneal dialysis: Veterans Administration Multicenter Study. Kidney Int. 1984;26(4): 459-470.
    • (1984) Kidney Int , vol.26 , Issue.4 , pp. 459-470
    • Gutman, R.A.1    Blumenkrantz, M.J.2    Chan, Y.K.3
  • 12
    • 0344514610 scopus 로고    scopus 로고
    • Effect of starting with hemodialysis compared with peritoneal dialysis in patients new on dialysis treatment: A randomized controlled trial
    • Korevaar JC, Feith GW, Dekker FW, et al. Effect of starting with hemodialysis compared with peritoneal dialysis in patients new on dialysis treatment: a randomized controlled trial. Kidney Int. 2003;64(6):2222-2228.
    • (2003) Kidney Int , vol.64 , Issue.6 , pp. 2222-2228
    • Korevaar, J.C.1    Feith, G.W.2    Dekker, F.W.3
  • 13
    • 84876019170 scopus 로고    scopus 로고
    • Comparing mortality of peritoneal and hemodialysis patients in the first 2 years of dialysis therapy: A marginal structural model analysis
    • Lukowsky LR, Mehrotra R, Kheifets L, et al. Comparing mortality of peritoneal and hemodialysis patients in the first 2 years of dialysis therapy: a marginal structural model analysis. Clin J Am Soc Nephrol. 2013;8(4):619-628.
    • (2013) Clin J Am Soc Nephrol , vol.8 , Issue.4 , pp. 619-628
    • Lukowsky, L.R.1    Mehrotra, R.2    Kheifets, L.3
  • 14
    • 77249107784 scopus 로고    scopus 로고
    • Comparing mortality in renal patients on hemodialysis versus peritoneal dialysis using a marginal structural model
    • Van der Wal WM, Noordzij M, Dekker FW, et al. Comparing mortality in renal patients on hemodialysis versus peritoneal dialysis using a marginal structural model. Int J Biostat. 2010; 6(1):Article 2.
    • (2010) Int J Biostat , vol.6 , Issue.1
    • Van Der Wal, W.M.1    Noordzij, M.2    Dekker, F.W.3
  • 15
    • 67651098902 scopus 로고    scopus 로고
    • The consistency statement in causal inference: A definition or an assumption?
    • Cole SR, Frangakis CE. The consistency statement in causal inference: a definition or an assumption? Epidemiology. 2009; 20(1):3-5.
    • (2009) Epidemiology , vol.20 , Issue.1 , pp. 3-5
    • Cole, S.R.1    Frangakis, C.E.2
  • 16
    • 84891502322 scopus 로고    scopus 로고
    • Causal inference under multiple versions of treatment
    • VanderWeele TJ, Hernán MA. Causal inference under multiple versions of treatment. J Causal Inference. 2013;1(1):1-20.
    • (2013) J Causal Inference , vol.1 , Issue.1 , pp. 1-20
    • VanderWeele, T.J.1    Hernán, M.A.2
  • 17
    • 84860310760 scopus 로고    scopus 로고
    • The positivity assumption and marginal structural models: The example of warfarin use and risk of bleeding
    • Platt RW, Delaney JAC, Suissa S. The positivity assumption and marginal structural models: the example of warfarin use and risk of bleeding. Eur J Epidemiol. 2012;27(2):77-83.
    • (2012) Eur J Epidemiol , vol.27 , Issue.2 , pp. 77-83
    • Platt, R.W.1    Delaney, J.A.C.2    Suissa, S.3
  • 18
    • 77949377342 scopus 로고    scopus 로고
    • Invited commentary: Positivity in practice
    • Westreich D, Cole SR. Invited commentary: positivity in practice. Am J Epidemiol. 2010;171(6):674-677.
    • (2010) Am J Epidemiol , vol.171 , Issue.6 , pp. 674-677
    • Westreich, D.1    Cole, S.R.2
  • 19
    • 0033839024 scopus 로고    scopus 로고
    • Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men
    • Hernán MA, Brumback B, Robins JM. Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiology. 2000;11(5): 561-570.
    • (2000) Epidemiology , vol.11 , Issue.5 , pp. 561-570
    • Hernán, M.A.1    Brumback, B.2    Robins, J.M.3
  • 20
    • 0025695593 scopus 로고
    • Relation of pooled logistic regression to time dependent Cox regression analysis: The Framingham Heart Study
    • D'Agostino RB, Lee ML, Belanger AJ, et al. Relation of pooled logistic regression to time dependent Cox regression analysis: the Framingham Heart Study. Stat Med. 1990;9(12): 1501-1515.
    • (1990) Stat Med , vol.9 , Issue.12 , pp. 1501-1515
    • D'Agostino, R.B.1    Lee, M.L.2    Belanger, A.J.3
  • 21
    • 51749124303 scopus 로고    scopus 로고
    • Constructing inverse probability weights for marginal structural models
    • Cole SR, Hernán MA. Constructing inverse probability weights for marginal structural models. Am J Epidemiol. 2008;168(6): 656-664.
    • (2008) Am J Epidemiol , vol.168 , Issue.6 , pp. 656-664
    • Cole, S.R.1    Hernán, M.A.2
  • 23
    • 84858308626 scopus 로고    scopus 로고
    • Stata Corporation College Station, TX: Stata Corporation
    • Stata Corporation. Stata Statistical Software, Release 12. College Station, TX: Stata Corporation; 2011.
    • (2011) Stata Statistical Software, Release 12
  • 24
    • 33544469938 scopus 로고    scopus 로고
    • Controlling for timedependent confounding using marginal structural models
    • Fewell Z, Hernán MA, Wolfe F, et al. Controlling for timedependent confounding using marginal structural models. Stata J. 2004;4(4):402-420.
    • (2004) Stata J , vol.4 , Issue.4 , pp. 402-420
    • Fewell, Z.1    Hernán, M.A.2    Wolfe, F.3
  • 25
    • 61749090370 scopus 로고    scopus 로고
    • A practical illustration of the importance of realistic individualized treatment rules in causal inference
    • Bembom O, van der Laan MJ. A practical illustration of the importance of realistic individualized treatment rules in causal inference. Electron J Stat. 2007;1:574-596.
    • (2007) Electron J Stat , vol.1 , pp. 574-596
    • Bembom, O.1    Van Der Laan, M.J.2
  • 27
    • 84896736302 scopus 로고    scopus 로고
    • The control outcome calibration approach for causal inference with unobserved confounding
    • Tchetgen Tchetgen E. The control outcome calibration approach for causal inference with unobserved confounding. Am J Epidemiol. 2014;179(5):633-640.
    • (2014) Am J Epidemiol , vol.179 , Issue.5 , pp. 633-640
    • Tchetgen Tchetgen, E.1
  • 29
    • 77952316050 scopus 로고    scopus 로고
    • Sensitivity analyses to estimate the potential impact of unmeasured confounding in causal research
    • Groenwold RHH, Nelson DB, Nichol KL, et al. Sensitivity analyses to estimate the potential impact of unmeasured confounding in causal research. Int J Epidemiol. 2010;39(1): 107-117.
    • (2010) Int J Epidemiol , vol.39 , Issue.1 , pp. 107-117
    • Groenwold, R.H.H.1    Nelson, D.B.2    Nichol, K.L.3
  • 30
    • 78650778119 scopus 로고    scopus 로고
    • Bias formulas for sensitivity analysis of unmeasured confounding for general outcomes, treatments, and confounders
    • Vanderweele TJ, Arah OA. Bias formulas for sensitivity analysis of unmeasured confounding for general outcomes, treatments, and confounders. Epidemiology. 2011;22(1):42-52.
    • (2011) Epidemiology , vol.22 , Issue.1 , pp. 42-52
    • VanderWeele, T.J.1    Arah, O.A.2
  • 31
    • 1442326306 scopus 로고    scopus 로고
    • Sensitivity analyses for unmeasured confounding assuming a marginal structural model for repeated measures
    • Brumback BA, Hernán MA, Haneuse SJPA, et al. Sensitivity analyses for unmeasured confounding assuming a marginal structural model for repeated measures. Stat Med. 2004;23(5): 749-767.
    • (2004) Stat Med , vol.23 , Issue.5 , pp. 749-767
    • Brumback, B.A.1    Hernán, M.A.2    Haneuse, S.J.P.A.3
  • 32
    • 63449107669 scopus 로고    scopus 로고
    • Sensitivity analysis for unmeasured confounding in a marginal structural Cox proportional hazards model
    • Klungsøyr O, Sexton J, Sandanger I, et al. Sensitivity analysis for unmeasured confounding in a marginal structural Cox proportional hazards model. Lifetime Data Anal. 2009;15(2): 278-294.
    • (2009) Lifetime Data Anal , vol.15 , Issue.2 , pp. 278-294
    • Klungsøyr, O.1    Sexton, J.2    Sandanger, I.3
  • 33
    • 84862777078 scopus 로고    scopus 로고
    • Dialysis modality preference of patients with CKD and family caregivers: A discrete-choice study
    • Morton RL, Snelling P, Webster AC, et al. Dialysis modality preference of patients with CKD and family caregivers: a discrete-choice study. Am J Kidney Dis. 2012;60(1):102-111.
    • (2012) Am J Kidney Dis , vol.60 , Issue.1 , pp. 102-111
    • Morton, R.L.1    Snelling, P.2    Webster, A.C.3


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