메뉴 건너뛰기




Volumn 175, Issue 3, 2012, Pages 210-217

Dealing with missing outcome data in randomized trials and observational studies

Author keywords

confounding; loss to follow up; missing data; multiple imputation; randomized trials

Indexed keywords

COVARIANCE ANALYSIS; EXPERIMENTAL STUDY; SENSITIVITY ANALYSIS;

EID: 84856206744     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwr302     Document Type: Article
Times cited : (305)

References (31)
  • 2
    • 68249114452 scopus 로고    scopus 로고
    • Multiple imputation for missing data in epidemiological and clinical research: Potential and pitfalls [electronic article]
    • Sterne JA, White IR, Carlin JB, et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls [electronic article]. BMJ. 2009;338: b2393.
    • (2009) BMJ , vol.338
    • Sterne, J.A.1    White, I.R.2    Carlin, J.B.3
  • 4
    • 15844423857 scopus 로고    scopus 로고
    • Adjusting for partially missing baseline measurements in randomized trials
    • DOI 10.1002/sim.1981
    • White IR, Thompson SG. Adjusting for partially missing baseline measurements in randomized trials. Stat Med. 2005; 24(7):993-1007. (Pubitemid 40426000)
    • (2005) Statistics in Medicine , vol.24 , Issue.7 , pp. 993-1007
    • White, I.R.1    Thompson, S.G.2
  • 5
    • 84950455641 scopus 로고
    • Regression with missing X's: A review
    • Little RJ. Regression with missing X's: a review. J Am Stat Assoc. 1992;87(420):1227-1237.
    • (1992) J Am Stat Assoc , vol.87 , Issue.420 , pp. 1227-1237
    • Little, R.J.1
  • 6
    • 0029584587 scopus 로고
    • A critical look at methods for handling missing covariates in epidemiologic regression analyses
    • Greenland S, FinkleWD. A critical look at methods for handling missing covariates in epidemiologic regression analyses. Am J Epidemiol. 1995;142(12):1255-1264. (Pubitemid 26006424)
    • (1995) American Journal of Epidemiology , vol.142 , Issue.12 , pp. 1255-1264
    • Greenland, S.1    Finkle, W.D.2
  • 7
    • 66249128302 scopus 로고    scopus 로고
    • Missing outcomes in randomized trials: Addressing the dilemma
    • Altman DG.Missing outcomes in randomized trials: addressing the dilemma. Open Med. 2009;3(2):e51-e53.
    • (2009) Open Med , vol.3 , Issue.2
    • Altman, D.G.1
  • 11
    • 0033566652 scopus 로고    scopus 로고
    • Statistical principles for clinical trials (ICH E9): An introductory note on an international guideline
    • Lewis JA. Statistical principles for clinical trials (ICH E9): an introductory note on an international guideline. Stat Med. 1999; 18(15):1903-1942.
    • (1999) Stat Med , vol.18 , Issue.15 , pp. 1903-1942
    • Lewis, J.A.1
  • 12
    • 2342468751 scopus 로고    scopus 로고
    • Points to consider on adjustment for baseline covariates
    • Committee for Proprietary Medicinal Products
    • Committee for Proprietary Medicinal Products. Points to consider on adjustment for baseline covariates. Stat Med. 2004; 23(5):701-709.
    • (2004) Stat Med , vol.23 , Issue.5 , pp. 701-709
  • 13
    • 0035755636 scopus 로고    scopus 로고
    • A comparison of inclusive and restrictive strategies in modern missing data procedures
    • Collins LM, Schafer JL, Kam CM. A comparison of inclusive and restrictive strategies in modern missing data procedures. Psychol Methods. 2001;6(4):330-351. (Pubitemid 33599063)
    • (2001) Psychological Methods , vol.6 , Issue.3 , pp. 330-351
    • Collins, L.M.1    Schafer, J.L.2    Kam, C.-M.3
  • 15
    • 29344475979 scopus 로고    scopus 로고
    • Simple adjustments for randomized trials with nonrandomly missing or censored outcomes arising from informative covariates
    • DOI 10.1093/biostatistics/kxi038
    • Baker SG, Fitzmaurice GM, Freedman LS, et al. Simple adjustments for randomized trials with nonrandomly missing or censored outcomes arising from informative covariates. Biostatistics. 2006;7(1):29-40. (Pubitemid 43007179)
    • (2006) Biostatistics , vol.7 , Issue.1 , pp. 29-40
    • Baker, S.G.1    Fitzmaurice, G.M.2    Freedman, L.S.3    Kramer, B.S.4
  • 16
    • 54549102237 scopus 로고    scopus 로고
    • Imputation methods for missing outcome data in meta-analysis of clinical trials
    • Higgins JP, White IR, Wood AM. Imputation methods for missing outcome data in meta-analysis of clinical trials. Clin Trials. 2008;5(3):225-239.
    • (2008) Clin Trials , vol.5 , Issue.3 , pp. 225-239
    • Higgins, J.P.1    White, I.R.2    Wood, A.M.3
  • 17
    • 68549122745 scopus 로고    scopus 로고
    • Incomplete data in clinical studies: Analysis, sensitivity, and sensitivity analysis (with discussion)
    • Molenberghs G. Incomplete data in clinical studies: analysis, sensitivity, and sensitivity analysis (with discussion). Drug Inf J. 2009;43(4):403-492.
    • (2009) Drug Inf J , vol.43 , Issue.4 , pp. 403-492
    • Molenberghs, G.1
  • 19
    • 85047673373 scopus 로고    scopus 로고
    • Missing data: Our view of the state of the art
    • Schafer JL, Graham JW. Missing data: our view of the state of the art. Psychol Methods. 2002;7(2):147-177.
    • (2002) Psychol Methods , vol.7 , Issue.2 , pp. 147-177
    • Schafer, J.L.1    Graham, J.W.2
  • 20
    • 33748709502 scopus 로고    scopus 로고
    • Using the outcome for imputation of missing predictor values was preferred
    • DOI 10.1016/j.jclinepi.2006.01.009, PII S0895435606000606
    • Moons KG, Donders RA, Stijnen T, et al. Using the outcome for imputation of missing predictor values was preferred. J Clin Epidemiol. 2006;59(10):1092-1101. (Pubitemid 44389818)
    • (2006) Journal of Clinical Epidemiology , vol.59 , Issue.10 , pp. 1092-1101
    • Moons, K.G.M.1    Donders, R.A.R.T.2    Stijnen, T.3    Harrell Jr., F.E.4
  • 21
    • 77956891487 scopus 로고
    • Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates
    • GailMH,Wieand S, Piantadosi S. Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates. Biometrika. 1984;71:431-444.
    • (1984) Biometrika , vol.71 , pp. 431-444
    • Gail, M.H.1    Wieand, S.2    Piantadosi, S.3
  • 22
    • 79953064836 scopus 로고    scopus 로고
    • Reporting of treatment effects from randomized trials: A plea for multivariable risk ratios
    • Groenwold RH, Moons KG, Peelen LM, et al. Reporting of treatment effects from randomized trials: a plea for multivariable risk ratios. Contemp Clin Trials. 2011;32(3):399-402.
    • (2011) Contemp Clin Trials , vol.32 , Issue.3 , pp. 399-402
    • Groenwold, R.H.1    Moons, K.G.2    Peelen, L.M.3
  • 23
  • 24
    • 84863304598 scopus 로고    scopus 로고
    • R Development Core Team Vienna Austria: R Foundation for Statistical Computing
    • R Development Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing; 2008. (http://www.R-project.org).
    • (2008) R: A Language and Environment for Statistical Computing
  • 25
    • 0037108235 scopus 로고    scopus 로고
    • Subgroup analysis, covariate adjustment and baseline comparisons in clinical trial reporting: Current practice and problems
    • Pocock SJ, Assmann SE, Enos LE, et al. Subgroup analysis, covariate adjustment and baseline comparisons in clinical trial reporting: current practice and problems. Stat Med. 2002;21(19): 2917-2930.
    • (2002) Stat Med , vol.21 , Issue.19 , pp. 2917-2930
    • Pocock, S.J.1    Assmann, S.E.2    Enos, L.E.3
  • 27
    • 70649092017 scopus 로고    scopus 로고
    • Absolute risk reductions, relative risks, relative risk reductions, and numbers needed to treat can be obtained from a logistic regression model
    • Austin PC. Absolute risk reductions, relative risks, relative risk reductions, and numbers needed to treat can be obtained from a logistic regression model. J Clin Epidemiol. 2010;63(1):2-6.
    • (2010) J Clin Epidemiol , vol.63 , Issue.1 , pp. 2-6
    • Austin, P.C.1
  • 28
    • 53849093809 scopus 로고    scopus 로고
    • Covariate adjustment for two-sample treatment comparisons in randomized clinical trials: A principled yet flexible approach
    • Tsiatis AA, Davidian M, Zhang M, et al. Covariate adjustment for two-sample treatment comparisons in randomized clinical trials: a principled yet flexible approach. Stat Med. 2008;27(23): 4658-4677.
    • (2008) Stat Med , vol.27 , Issue.23 , pp. 4658-4677
    • Tsiatis, A.A.1    Davidian, M.2    Zhang, M.3
  • 29
    • 76749124428 scopus 로고    scopus 로고
    • Birmingham United Kingdom: National Institute for Health Research (Publication RM03/JH17/MK)
    • Carpenter JR, Kenward MG. Missing data in randomised controlled trials-a practical guide. Birmingham, United Kingdom: National Institute for Health Research; 2008. (Publication RM03/JH17/MK). (http://www.pcpoh.bham.ac.uk/ publichealth/methodology/projects/RM03-JH17-MK.shtml).
    • (2008) Missing Data in Randomised Controlled Trials - A Practical Guide
    • Carpenter, J.R.1    Kenward, M.G.2
  • 30
    • 47149084982 scopus 로고    scopus 로고
    • Recommendations for the primary analysis of continuous endpoints in longitudinal clinical trials
    • Mallinckrodt CH, Lane PW, Schnell D, et al. Recommendations for the primary analysis of continuous endpoints in longitudinal clinical trials. Drug Inf J. 2008;42(4):303-319.
    • (2008) Drug Inf J , vol.42 , Issue.4 , pp. 303-319
    • Mallinckrodt, C.H.1    Lane, P.W.2    Schnell, D.3
  • 31
    • 79955417678 scopus 로고    scopus 로고
    • Strategy for intention to treat analysis in randomised trials with missing outcome data
    • doi:10.1136/bmj.d40
    • White IR, Horton NJ, Carpenter J, et al. Strategy for intention to treat analysis in randomised trials with missing outcome data. BMJ. 2011;342:d40. (doi:10.1136/bmj.d40).
    • (2011) BMJ , vol.342
    • White, I.R.1    Horton, N.J.2    Carpenter, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.