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Volumn 17, Issue 1, 2015, Pages 245-255

Performance of Nonlinear Mixed Effects Models in the Presence of Informative Dropout

Author keywords

bias; informative dropout; nonlinear mixed effects; NONMEM

Indexed keywords

ANALYTIC METHOD; ARTICLE; FOCE I METHOD; INFORMATION PROCESSING; LAPLACE METHOD; MEASUREMENT ACCURACY; NONLINEAR SYSTEM; PLACEBO EFFECT; PROCESS MODEL; STATISTICAL MODEL; STATISTICAL PARAMETERS; CLINICAL TRIAL (TOPIC); COMPUTER SIMULATION; HUMAN; PATIENT DROPOUTS; STATISTICAL ANALYSIS; STATISTICAL BIAS; STATISTICS AND NUMERICAL DATA;

EID: 84922106194     PISSN: None     EISSN: 15507416     Source Type: Journal    
DOI: 10.1208/s12248-014-9700-x     Document Type: Article
Times cited : (15)

References (14)
  • 1
    • 0027090197 scopus 로고
    • Statistical handling of drop-outs in longitudinal clinical trials
    • COI: 1:STN:280:DyaK3s7ovF2isg%3D%3D, PID: 1293667
    • Heyting A, Tolboom JT, Essers JG. Statistical handling of drop-outs in longitudinal clinical trials. Stat Med. 1992;11(16):2043–61.
    • (1992) Stat Med , vol.11 , Issue.16 , pp. 2043-2061
    • Heyting, A.1    Tolboom, J.T.2    Essers, J.G.3
  • 2
    • 60749108941 scopus 로고    scopus 로고
    • MMRM vs. LOCF: a comprehensive comparison based on simulation study and 25 NDA datasets
    • PID: 19212876
    • Siddiqui O, Hung HM, O'Neill R. MMRM vs. LOCF: a comprehensive comparison based on simulation study and 25 NDA datasets. J Biopharm Stat. 2009;19(2):227–46.
    • (2009) J Biopharm Stat , vol.19 , Issue.2 , pp. 227-246
    • Siddiqui, O.1    Hung, H.M.2    O'Neill, R.3
  • 3
    • 0023716933 scopus 로고
    • Missing data in longitudinal studies
    • COI: 1:STN:280:DyaL1c7nslOjtQ%3D%3D, PID: 3353609
    • Laird NM. Missing data in longitudinal studies. Stat Med. 1988;7(1–2):305–15.
    • (1988) Stat Med , vol.7 , Issue.1-2 , pp. 305-315
    • Laird, N.M.1
  • 4
    • 0017133178 scopus 로고
    • Inference and missing data
    • Rubin DB. Inference and missing data. Biometrika. 1976;63:581–92.
    • (1976) Biometrika , vol.63 , pp. 581-592
    • Rubin, D.B.1
  • 7
    • 0038402581 scopus 로고    scopus 로고
    • A joint model for nonlinear longitudinal data with informative dropout
    • Hu C, Sale ME. A joint model for nonlinear longitudinal data with informative dropout. J Pharmacokinet Pharmcodyn. 2003;30(1):83–103.
    • (2003) J Pharmacokinet Pharmcodyn , vol.30 , Issue.1 , pp. 83-103
    • Hu, C.1    Sale, M.E.2
  • 8
    • 58049191296 scopus 로고    scopus 로고
    • Modelling placebo response in depression trials using a longitudinal model with informative dropout
    • COI: 1:CAS:528:DC%2BD1MXhsFSntg%3D%3D, PID: 19041717
    • Gomeni R, Lavergne A, Merlo-Pich E. Modelling placebo response in depression trials using a longitudinal model with informative dropout. Eur J Pharm Sci. 2009;36(1):4–10.
    • (2009) Eur J Pharm Sci , vol.36 , Issue.1 , pp. 4-10
    • Gomeni, R.1    Lavergne, A.2    Merlo-Pich, E.3
  • 9
    • 79956001386 scopus 로고    scopus 로고
    • Informative dropout modeling of longitudinal ordered categorical data and model validation: application to exposure-response modeling of physician's global assessment score for ustekinumab in patients with psoriasis
    • PID: 21327538
    • Hu C, Szapary PO, Yeilding N, Zhou H. Informative dropout modeling of longitudinal ordered categorical data and model validation: application to exposure-response modeling of physician's global assessment score for ustekinumab in patients with psoriasis. J Pharmacokinet Pharmacodyn. 2011;38(2):237–60.
    • (2011) J Pharmacokinet Pharmacodyn , vol.38 , Issue.2 , pp. 237-260
    • Hu, C.1    Szapary, P.O.2    Yeilding, N.3    Zhou, H.4
  • 10
    • 67650608192 scopus 로고    scopus 로고
    • Modeling and simulation of the time course of asenapine exposure response and dropout patterns in acute schizophrenia
    • COI: 1:CAS:528:DC%2BD1MXnsFemtbo%3D, PID: 19387434
    • Friberg LE, de Greef R, Kerbusch T, Karlsson MO. Modeling and simulation of the time course of asenapine exposure response and dropout patterns in acute schizophrenia. Clin Pharmacol Ther. 2009;86(1):84–91.
    • (2009) Clin Pharmacol Ther , vol.86 , Issue.1 , pp. 84-91
    • Friberg, L.E.1    de Greef, R.2    Kerbusch, T.3    Karlsson, M.O.4
  • 11
    • 79955795569 scopus 로고    scopus 로고
    • Modelling of pain intensity and informative dropout in a dental pain model after naproxcinod, naproxen and placebo administration
    • PID: 21272053
    • Bjornsson MA, Simonsson USH. Modelling of pain intensity and informative dropout in a dental pain model after naproxcinod, naproxen and placebo administration. Br J Clin Pharmacol. 2011;71(6):899–906.
    • (2011) Br J Clin Pharmacol , vol.71 , Issue.6 , pp. 899-906
    • Bjornsson, M.A.1    Simonsson, U.S.H.2
  • 13
    • 23944435458 scopus 로고    scopus 로고
    • PsN-Toolkit—a collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEM
    • PID: 16023764
    • Lindbom L, Pihlgren P, Jonsson EN. PsN-Toolkit—a collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEM. Comput Methods Programs Biomed. 2005;79(3):241–57.
    • (2005) Comput Methods Programs Biomed , vol.79 , Issue.3 , pp. 241-257
    • Lindbom, L.1    Pihlgren, P.2    Jonsson, E.N.3
  • 14
    • 0002322365 scopus 로고    scopus 로고
    • Xpose—an S-PLUS based population pharmacokinetic/pharmacodynamic model building aid for NONMEM
    • COI: 1:STN:280:DyaK1M3htVShsw%3D%3D, PID: 10195646
    • Jonsson EN, Karlsson MO. Xpose—an S-PLUS based population pharmacokinetic/pharmacodynamic model building aid for NONMEM. Comput Methods Programs Biomed. 1999;58(1):51–64.
    • (1999) Comput Methods Programs Biomed , vol.58 , Issue.1 , pp. 51-64
    • Jonsson, E.N.1    Karlsson, M.O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.