메뉴 건너뛰기




Volumn 28, Issue 5, 2013, Pages 506-515

Longitudinal missing data strategies for substance use clinical trials using generalized estimating equations: An example with a buprenorphine trial

Author keywords

generalized estimating equations; longitudinal missing data; multiple imputation; positive urine analysis imputation; psychopharmacology clinical trials; substance use disorder treatment

Indexed keywords

AMPHETAMINE; BUPRENORPHINE; CANNABIS; NALOXONE; OPIATE;

EID: 84884140549     PISSN: 08856222     EISSN: 10991077     Source Type: Journal    
DOI: 10.1002/hup.2339     Document Type: Article
Times cited : (26)

References (32)
  • 1
    • 84872576449 scopus 로고    scopus 로고
    • What to do about missing values
    • In Cooper H. (Ed.), American Psychological Association: Washington, DC.
    • Acock A,. 2012. What to do about missing values. In, Cooper H, (Ed.), APA Handbook of Research Methods in Psychology. American Psychological Association: Washington, DC.
    • (2012) APA Handbook of Research Methods in Psychology
    • Acock, A.1
  • 3
    • 61849092030 scopus 로고    scopus 로고
    • Stereotyping and the treatment of missing data for drug and alcohol clinical trials
    • Arndt S,. 2009. Stereotyping and the treatment of missing data for drug and alcohol clinical trials. Subst Abuse Treat Prev Policy 4: 2-3.
    • (2009) Subst Abuse Treat Prev Policy , vol.4 , pp. 2-3
    • Arndt, S.1
  • 5
    • 0035755636 scopus 로고    scopus 로고
    • A comparison of inclusive and restrictive strategies in modern missing data procedures
    • Collins LM, Schafer JL, Kam C-M,. 2001. A comparison of inclusive and restrictive strategies in modern missing data procedures. Psychol Methods 6: 330-351.
    • (2001) Psychol Methods , vol.6 , pp. 330-351
    • Collins, L.M.1    Schafer, J.L.2    Kam, C.-M.3
  • 6
    • 4444283472 scopus 로고    scopus 로고
    • Marginal analysis of incomplete longitudinal binary data: A cautionary note on LOCF imputation
    • Cook RJ, Zeng L, Yi GY,. 2004. Marginal analysis of incomplete longitudinal binary data: a cautionary note on LOCF imputation. Biometrics 60: 820-828.
    • (2004) Biometrics , vol.60 , pp. 820-828
    • Cook, R.J.1    Zeng, L.2    Yi, G.Y.3
  • 7
    • 0002543932 scopus 로고    scopus 로고
    • A primer on maximum likelihood algorithms available for use with missing data
    • Enders CK,. 2001. A primer on maximum likelihood algorithms available for use with missing data. Struct Equ Model 8: 128-141.
    • (2001) Struct Equ Model , vol.8 , pp. 128-141
    • Enders, C.K.1
  • 8
    • 33746068696 scopus 로고    scopus 로고
    • A primer on the use of modern missing-data methods in psychosomatic medicine research
    • Enders CK,. 2006. A primer on the use of modern missing-data methods in psychosomatic medicine research. Psychosom Med 68: 427-436.
    • (2006) Psychosom Med , vol.68 , pp. 427-436
    • Enders, C.K.1
  • 10
    • 60549085055 scopus 로고    scopus 로고
    • Missing data analysis: Making it work in the real world
    • Graham JW, (2009). Missing data analysis: making it work in the real world. Annu Rev Psychol 60: 549-576.
    • (2009) Annu Rev Psychol , vol.60 , pp. 549-576
    • Graham, J.W.1
  • 11
    • 0028671841 scopus 로고
    • 13-63 in Advances in Data Analysis for Prevention Intervention Research, National Institute on Drug Abuse Research Monograph, edited by Collins L.M. Seitz L. Natl. Inst. Drug Abuse: Washington, DC.
    • Graham JW, Hofer SM, Piccinin AM, (1994). " Analysis with missing data in drug prevention research " Pp. 13-63 in Advances in Data Analysis for Prevention Intervention Research, National Institute on Drug Abuse Research Monograph, edited by, Collins LM, Seitz L,. Natl. Inst. Drug Abuse: Washington, DC.
    • (1994) Analysis with Missing Data in Drug Prevention Research
    • Graham, J.W.1    Hofer, S.M.2    Piccinin, A.M.3
  • 12
    • 34548451124 scopus 로고    scopus 로고
    • How many imputations are really needed? Some practical clarifications of multiple imputation theory
    • Graham JW, Olchowski AE, Gilreath TD,. 2007. How many imputations are really needed? Some practical clarifications of multiple imputation theory. Prev Sci 8: 206-213.
    • (2007) Prev Sci , vol.8 , pp. 206-213
    • Graham, J.W.1    Olchowski, A.E.2    Gilreath, T.D.3
  • 13
    • 46749089042 scopus 로고    scopus 로고
    • A comparison of missing data methods for hypothesis tests of the treatment effect in substance abuse clinical trials: A Monte-Carlo simulation study
    • Hedden SL, Woolson RF, Malcolm RJ,. 2008. A comparison of missing data methods for hypothesis tests of the treatment effect in substance abuse clinical trials: a Monte-Carlo simulation study. Subst Abuse Treat Prev Policy 3: 13-21.
    • (2008) Subst Abuse Treat Prev Policy , vol.3 , pp. 13-21
    • Hedden, S.L.1    Woolson, R.F.2    Malcolm, R.J.3
  • 14
    • 34548549316 scopus 로고    scopus 로고
    • Analysis of binary outcomes with missing data: Missing = smoking, last observation carried forward, and a little multiple imputation
    • Hedeker D, Mermelstein RJ, Demitras H,. 2007. Analysis of binary outcomes with missing data: missing = smoking, last observation carried forward, and a little multiple imputation. Addiction 102: 1564-1573.
    • (2007) Addiction , vol.102 , pp. 1564-1573
    • Hedeker, D.1    Mermelstein, R.J.2    Demitras, H.3
  • 15
    • 58349097548 scopus 로고    scopus 로고
    • Buprenorphine tapering schedule and illicit opioid use
    • Ling W, Hillhouse M, Domier C, et al,. 2009. Buprenorphine tapering schedule and illicit opioid use. Addiction 104: 256-265.
    • (2009) Addiction , vol.104 , pp. 256-265
    • Ling, W.1    Hillhouse, M.2    Domier, C.3
  • 17
    • 0038147534 scopus 로고    scopus 로고
    • Assessing and interpreting treatment effects in longitudinal clinical trials with missing data
    • Mallinckrodt CH, Sanger TM, Dube S, et al,. 2003. Assessing and interpreting treatment effects in longitudinal clinical trials with missing data. Biol Psychiatry 53: 754-760.
    • (2003) Biol Psychiatry , vol.53 , pp. 754-760
    • Mallinckrodt, C.H.1    Sanger, T.M.2    Dube, S.3
  • 18
    • 84872054022 scopus 로고    scopus 로고
    • Randomized controlled trial of contingency management for stimulant use in community mental health patients with serious mental illness
    • McDonell MG, Srebnik D, Angelo F, et al,. 2013. Randomized controlled trial of contingency management for stimulant use in community mental health patients with serious mental illness. Am J Psychiatry 170: 94-101.
    • (2013) Am J Psychiatry , vol.170 , pp. 94-101
    • McDonell, M.G.1    Srebnik, D.2    Angelo, F.3
  • 20
    • 84890123181 scopus 로고    scopus 로고
    • Biochemical predictors are better than self-report in a smoking cessation contingency management analog study
    • DOI: 10.1111/j.1521-0391.2013.12059.x
    • McPherson S, Packer R, Cameron J, Howell D, Roll J,. 2013. Biochemical predictors are better than self-report in a smoking cessation contingency management analog study. Am J Addict. DOI: 10.1111/j.1521-0391.2013.12059.x
    • (2013) Am J Addict
    • McPherson, S.1    Packer, R.2    Cameron, J.3    Howell, D.4    Roll, J.5
  • 22
    • 0036775090 scopus 로고    scopus 로고
    • Intention-to-treat meets missing data: Implications of alternate strategies for analyzing clinical trials
    • Nich C, Carroll KM,. 2002. Intention-to-treat meets missing data: Implications of alternate strategies for analyzing clinical trials. Drug Alcohol Depend 68: 121-130.
    • (2002) Drug Alcohol Depend , vol.68 , pp. 121-130
    • Nich, C.1    Carroll, K.M.2
  • 23
    • 84878368574 scopus 로고    scopus 로고
    • Duration effects in contingency management treatment of methamphetamine disorders
    • Roll JM, Chudzynski J, Cameron JM, Howell DN, McPherson S,. 2013. Duration effects in contingency management treatment of methamphetamine disorders. Addict Behav 38 (9): 2455-2462.
    • (2013) Addict Behav , vol.38 , Issue.9 , pp. 2455-2462
    • Roll, J.M.1    Chudzynski, J.2    Cameron, J.M.3    Howell, D.N.4    McPherson, S.5
  • 24
    • 0017133178 scopus 로고
    • Inference and missing data
    • Rubin DB,. 1976. Inference and missing data. Biometrika 63: 581-592.
    • (1976) Biometrika , vol.63 , pp. 581-592
    • Rubin, D.B.1
  • 26
    • 85047673373 scopus 로고    scopus 로고
    • Missing data: Our view of the state of the art
    • Schafer JL, Graham JW,. 2002. Missing data: our view of the state of the art. Psychol Methods 7: 147-177.
    • (2002) Psychol Methods , vol.7 , pp. 147-177
    • Schafer, J.L.1    Graham, J.W.2
  • 27
    • 0041633671 scopus 로고    scopus 로고
    • Last observation carry-forward and last observation analysis
    • Shao J, Zhang B, (2004). Last observation carry-forward and last observation analysis. Stat Med 22: 2429-2441.
    • (2004) Stat Med , vol.22 , pp. 2429-2441
    • Shao, J.1    Zhang, B.2
  • 28
    • 77952007790 scopus 로고    scopus 로고
    • Modeling missing binary outcome data in a successful web-based smokeless tobacco cessation program
    • Smolkowski K, Danaher BG, Seeley JR, Kosty DB, Severson HH,. 2010. Modeling missing binary outcome data in a successful web-based smokeless tobacco cessation program. Addiction 105: 1005-1015.
    • (2010) Addiction , vol.105 , pp. 1005-1015
    • Smolkowski, K.1    Danaher, B.G.2    Seeley, J.R.3    Kosty, D.B.4    Severson, H.H.5
  • 30
    • 25144472336 scopus 로고    scopus 로고
    • Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals
    • Wood AM, White IR, Thompson SG,. 2004. Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals. Clin Trials 1: 368-376.
    • (2004) Clin Trials , vol.1 , pp. 368-376
    • Wood, A.M.1    White, I.R.2    Thompson, S.G.3
  • 31
    • 14144255163 scopus 로고    scopus 로고
    • Assessing missing data assumptions in longitudinal studies: An example using a smoking cessation trial
    • Yang X, Shoptaw S,. 2005. Assessing missing data assumptions in longitudinal studies: an example using a smoking cessation trial. Drug Alcohol Depend 77: 213-225.
    • (2005) Drug Alcohol Depend , vol.77 , pp. 213-225
    • Yang, X.1    Shoptaw, S.2
  • 32
    • 0027053029 scopus 로고
    • An overview of methods for the analysis of longitudinal data
    • Zeger SL, Liang K-Y,. 1992. An overview of methods for the analysis of longitudinal data. Stat Med 11: 1825-1839.
    • (1992) Stat Med , vol.11 , pp. 1825-1839
    • Zeger, S.L.1    Liang, K.-Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.