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Volumn 35, Issue 2, 2008, Pages 159-183

Independent-model diagnostics for a priori identification and interpretation of outliers from a full pharmacokinetic database: Correspondence analysis, Mahalanobis distance and Andrews curves

Author keywords

Andrews curves; Correspondence analysis; Full pharmacokinetic database; Independent model diagnostics; Mahalanobis distance; Outliers; Variability analysis

Indexed keywords

CAPECITABINE; HYDROCORTISONE; TETRACOSACTIDE;

EID: 43949119111     PISSN: 1567567X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10928-007-9082-0     Document Type: Article
Times cited : (3)

References (35)
  • 1
    • 0003454482 scopus 로고
    • Methods for statistical data analysis of multivariate observations
    • R Gnanadesikan 1977 Methods for statistical data analysis of multivariate observations Wiley New York Gnanadesikan R (1977). Methods for statistical data analysis of multivariate observations. Wiley, New York
    • (1977)
    • Gnanadesikan, R1
  • 2
    • 0002954125 scopus 로고
    • Robust estimates, residuals, and outlier detection with multiresponse data
    • R Gnanadesikan JR Kettenring 1972 Robust estimates, residuals, and outlier detection with multiresponse data Biometrics 28 81 124 10.2307/2528963 10.2307/2528963 Gnanadesikan R and Kettenring JR (1972). Robust estimates, residuals and outlier detection with multiresponse data. Biometrics 28: 81–124
    • (1972) Biometrics , vol.28 , pp. 81-124
    • Gnanadesikan, R1    Kettenring, JR2
  • 3
    • 0004006357 scopus 로고
    • Theory and applications of correspondence analysis
    • MJ Greenacre 1984 Theory and applications of correspondence analysis Academic Press London Greenacre MJ (1984). Theory and applications of correspondence analysis. Academic Press, London
    • (1984)
    • Greenacre, MJ1
  • 4
    • 0004115191 scopus 로고
    • Correspondence analysis in practice
    • MJ Greenacre 1993 Correspondence analysis in practice Academic Press London Greenacre MJ (1993). Correspondence analysis in practice. Academic Press, London
    • (1993)
    • Greenacre, MJ1
  • 5
    • 2542516945 scopus 로고    scopus 로고
    • Influence and sensitivity measures in correspondence analysis
    • F Mortier A Bar-Hen 2004 Influence and sensitivity measures in correspondence analysis Statistics 38 207 215 10.1080/02331880410001696080 Mortier F and Bar-Hen A (2004). Influence and sensitivity measures in correspondence analysis. Statistics 38: 207–215
    • (2004) Statistics , vol.38 , pp. 207-215
    • Mortier, F1    Bar-Hen, A2
  • 6
    • 0000974551 scopus 로고
    • Plots of high-dimensional data
    • DF Andrews 1972 Plots of high-dimensional data Biometrics 28 125 136 10.2307/2528964 10.2307/2528964 Andrews DF (1972). Plots of high-dimensional data. Biometrics 28: 125–136
    • (1972) Biometrics , vol.28 , pp. 125-136
    • Andrews, DF1
  • 7
    • 0000435292 scopus 로고
    • The ordering of multivariate data (with discussion)
    • V Barnett 1976 The ordering of multivariate data (with discussion) J R Stat Soc A 139 318 354 10.2307/2344839 10.2307/2344839 Barnett V (1976). The ordering of multivariate data (with discussion). J R Stat Soc A 139: 318–354
    • (1976) J R Stat Soc A , vol.139 , pp. 318-354
    • Barnett, V1
  • 8
    • 85121079341 scopus 로고    scopus 로고
    • Swaroop R, Winter WR (1971) A statistical technique for computer identification of outliers in multivariate data. NASA Tech Notes D-6472
  • 9
    • 33750581706 scopus 로고    scopus 로고
    • Metrics for external model evaluation with an application to the population pharmacokinetics of gliclazide
    • K Brendel E Comets C Laffont C Laveille F Mentré 2006 Metrics for external model evaluation with an application to the population pharmacokinetics of gliclazide Pharm Res 23 2036 2049 10.1007/s11095-006-9067-5 10.1007/s11095-006-9067-5 1:CAS:528:DC%2BD28XptVaitL4%3D 16906454 Brendel K, Comets E, Laffont C, Laveille C and Mentré F (2006). Metrics for external model evaluation with an application to the population pharmacokinetics of gliclazide. Pharm Res 23: 2036–2049
    • (2006) Pharm Res , vol.23 , pp. 2036-2049
    • Brendel, K1    Comets, E2    Laffont, C3    Laveille, C4    Mentré, F5
  • 10
    • 0001661419 scopus 로고
    • Analysis of extreme values
    • WJ Dixon 1950 Analysis of extreme values Ann Math Stat 21 488 506 10.1214/aoms/1177729747 10.1214/aoms/1177729747 Dixon WJ (1950). Analysis of extreme values. Ann Math Stat 21: 488–506
    • (1950) Ann Math Stat , vol.21 , pp. 488-506
    • Dixon, WJ1
  • 11
    • 84946031884 scopus 로고
    • Procedures for detecting outlying observations in samples
    • FE Grubbs 1969 Procedures for detecting outlying observations in samples Technometrics 11 1 21 10.2307/1266761 10.2307/1266761 Grubbs FE (1969). Procedures for detecting outlying observations in samples. Technometrics 11: 1–21
    • (1969) Technometrics , vol.11 , pp. 1-21
    • Grubbs, FE1
  • 12
    • 0343460957 scopus 로고
    • The study of outliers: purpose and model
    • V Barnett 1978 The study of outliers: purpose and model Appl Stat 27 242 250 10.2307/2347159 10.2307/2347159 Barnett V (1978). The study of outliers: purpose and model. Appl Stat 27: 242–250
    • (1978) Appl Stat , vol.27 , pp. 242-250
    • Barnett, V1
  • 13
    • 0004169830 scopus 로고
    • Outliers in statistical data
    • V Barnett T Lewis 1994 Outliers in statistical data Wiley New York Barnett V and Lewis T (1994). Outliers in statistical data. Wiley, New York
    • (1994)
    • Barnett, V1    Lewis, T2
  • 14
    • 0012131169 scopus 로고
    • Evaluating outlier identification tests: Mahalanobis D Squared and Comrey Dk
    • JL Rasmussen 1988 Evaluating outlier identification tests: Mahalanobis D Squared and Comrey Dk Multivariate Behav Res 23 189 202 10.1207/s15327906mbr2302_4 10.1207/s15327906mbr2302_4 Rasmussen JL (1988). Evaluating outlier identification tests: Mahalanobis D Squared and Comrey Dk. Multivariate Behav Res 23: 189–202
    • (1988) Multivariate Behav Res , vol.23 , pp. 189-202
    • Rasmussen, JL1
  • 15
    • 0004255301 scopus 로고
    • Multivariate observations
    • GAF Seber 1984 Multivariate observations Wiley New York 10.1002/9780470316641 Seber GAF (1984). Multivariate observations. Wiley, New York
    • (1984)
    • Seber, GAF1
  • 16
    • 0003681739 scopus 로고
    • Robust regression and outlier detection
    • PJ Rousseeuw AM Leroy 1987 Robust regression and outlier detection Wiley New York 10.1002/0471725382 Rousseeuw PJ and Leroy AM (1987). Robust regression and outlier detection. Wiley, New York
    • (1987)
    • Rousseeuw, PJ1    Leroy, AM2
  • 17
    • 0033419417 scopus 로고    scopus 로고
    • The ordering of spatial data and the detection of multiple outliers
    • A Cerioli M Riani 1999 The ordering of spatial data and the detection of multiple outliers J Comput Graph Stat 8 239 258 10.2307/1390635 10.2307/1390635 Cerioli A and Riani M (1999). The ordering of spatial data and the detection of multiple outliers. J Comput Graph Stat 8: 239–258
    • (1999) J Comput Graph Stat , vol.8 , pp. 239-258
    • Cerioli, A1    Riani, M2
  • 18
    • 15844418455 scopus 로고    scopus 로고
    • Identifying outliers in correlated water quality data
    • RB Robinson 2005 Identifying outliers in correlated water quality data J Environ Eng 134 651 657 10.1061/(ASCE)0733-9372(2005)131:4(651) Robinson RB (2005). Identifying outliers in correlated water quality data. J Environ Eng 134: 651–657
    • (2005) J Environ Eng , vol.134 , pp. 651-657
    • Robinson, RB1
  • 19
    • 0003400888 scopus 로고
    • Applied multivariate data analysis
    • BS Everitt G Dunn 1992 Applied multivariate data analysis Wiley New York Everitt BS and Dunn G (1992). Applied multivariate data analysis. Wiley, New York
    • (1992)
    • Everitt, BS1    Dunn, G2
  • 20
    • 18144430568 scopus 로고    scopus 로고
    • Multivariate outlier detection in exploration geochemistry
    • P Filzmoser RG Garrett C Reimann 2005 Multivariate outlier detection in exploration geochemistry Comput Geosci 31 579 587 10.1016/j.cageo.2004.11.013 10.1016/j.cageo.2004.11.013 1:CAS:528:DC%2BD2MXjvFygurk%3D Filzmoser P, Garrett RG and Reimann C (2005). Multivariate outlier detection in exploration geochemistry. Comput Geosci 31: 579–587
    • (2005) Comput Geosci , vol.31 , pp. 579-587
    • Filzmoser, P1    Garrett, RG2    Reimann, C3
  • 21
    • 85121086028 scopus 로고    scopus 로고
    • SAS Institute Inc (1987) JMP3.2. SAS Institute. Carry, North Carolina
  • 22
    • 0004235843 scopus 로고
    • Identification of outliers
    • DM Hawkins 1980 Identification of outliers Chapman and Hall London Hawkins DM (1980). Identification of outliers. Chapman and Hall, London
    • (1980)
    • Hawkins, DM1
  • 23
    • 0004161991 scopus 로고
    • Algorithms for clustering data
    • AK Jain RC Dubes 1988 Algorithms for clustering data Prentice Hall New Jersey Jain AK and Dubes RC (1988). Algorithms for clustering data. Prentice Hall, New Jersey
    • (1988)
    • Jain, AK1    Dubes, RC2
  • 24
    • 85121069281 scopus 로고    scopus 로고
    • Boberg J (1999) Cluster analysis: a mathematical approach with applications to protein structures. Academic dissertation, Turku Centre for Computer Science, Turku, Finland
  • 25
    • 84950439147 scopus 로고
    • Unmasking multivariate outliers and leverage points
    • PJ Rousseeuw BC Van Zomeren 1990 Unmasking multivariate outliers and leverage points J Am Stat Assoc 85 633 651 10.2307/2289995 10.2307/2289995 Rousseeuw PJ and Van Zomeren BC (1990). Unmasking multivariate outliers and leverage points. J Am Stat Assoc 85: 633–651
    • (1990) J Am Stat Assoc , vol.85 , pp. 633-651
    • Rousseeuw, PJ1    Van Zomeren, BC2
  • 26
    • 0003841907 scopus 로고
    • Robust statistics. The approach based on influence functions
    • FR Hampel EM Ronchetti PJ Rousseeuw W Stahel 1986 Robust statistics. The approach based on influence functions Wiley New York Hampel FR, Ronchetti EM, Rousseeuw PJ and Stahel W (1986). Robust statistics. The approach based on influence functions. Wiley, New York
    • (1986)
    • Hampel, FR1    Ronchetti, EM2    Rousseeuw, PJ3    Stahel, W4
  • 27
    • 85121087361 scopus 로고    scopus 로고
    • B Escofier J Pagès 1991 Presentation of correspondence analysis and multiple correspondence analysis with the help of examples J Devillers W Karcher Applied multivariate analysis in SAR and environmental studies Kluwer Academic Publishers Dordrecht 1 32 Escofier B and Pagès J (1991). Presentation of correspondence analysis and multiple correspondence analysis with the help of examples. In: Devillers, J and Karcher, W (eds) Applied multivariate analysis in SAR and environmental studies, pp 1–32. Kluwer Academic Publishers, Dordrecht
  • 28
    • 0001878986 scopus 로고    scopus 로고
    • ADE-4: a multivariate analysis and graphical display software
    • J Thioulouse D Chessel S Dolédec JM Olivier 1996 ADE-4: a multivariate analysis and graphical display software Stat Comput 7 75 83 10.1023/A:1018513530268 10.1023/A:1018513530268 Thioulouse J, Chessel D, Dolédec S and Olivier JM (1996). ADE-4: a multivariate analysis and graphical display software. Stat Comput 7: 75–83
    • (1996) Stat Comput , vol.7 , pp. 75-83
    • Thioulouse, J1    Chessel, D2    Dolédec, S3    Olivier, JM4
  • 29
    • 85121088324 scopus 로고    scopus 로고
    • Frye C, Freeze WS, Buckingham FK (2004) Microsoft Office Excel 2003 Programming Inside Out. Microsoft Pr, Washington
  • 30
    • 0004012196 scopus 로고
    • Bayesian data analysis
    • A Gelman JB Carlin HS Stern DB Rubin 1995 Bayesian data analysis Chapman and Hall London Gelman A, Carlin JB, Stern HS and Rubin DB (1995). Bayesian data analysis. Chapman and Hall, London
    • (1995)
    • Gelman, A1    Carlin, JB2    Stern, HS3    Rubin, DB4
  • 31
    • 28444482777 scopus 로고    scopus 로고
    • Cluster analysis: an alternative method for covariate selection in population pharmacokinetic modelling
    • N Semmar B Bruguerolle S Boullu-Ciocca N Simon 2005 Cluster analysis: an alternative method for covariate selection in population pharmacokinetic modelling J Pharmacokinet Pharmacodyn 32 333 358 10.1007/s10928-005-0040-4 10.1007/s10928-005-0040-4 1:CAS:528:DC%2BD2MXht1Oku7rE 16307207 Semmar N, Bruguerolle B, Boullu-Ciocca S and Simon N (2005). Cluster analysis: an alternative method for covariate selection in population pharmacokinetic modelling. J Pharmacokinet Pharmacodyn 32: 333–358
    • (2005) J Pharmacokinet Pharmacodyn , vol.32 , pp. 333-358
    • Semmar, N1    Bruguerolle, B2    Boullu-Ciocca, S3    Simon, N4
  • 32
    • 28844485700 scopus 로고    scopus 로고
    • Pharmacokinetic modelling of 5-FU production from capecitabine — a population study in 40 adult patients with metastatic cancer
    • S Urien K Rezaï F Lokiec 2005 Pharmacokinetic modelling of 5-FU production from capecitabine — a population study in 40 adult patients with metastatic cancer J Pharmacokinet Pharmacodyn 32 817 833 10.1007/s10928-005-0018-2 10.1007/s10928-005-0018-2 1:CAS:528:DC%2BD2MXht12jtr3J 16284918 Urien S, Rezaï K and Lokiec F (2005). Pharmacokinetic modelling of 5-FU production from capecitabine — a population study in 40 adult patients with metastatic cancer. J Pharmacokinet Pharmacodyn 32: 817–833
    • (2005) J Pharmacokinet Pharmacodyn , vol.32 , pp. 817-833
    • Urien, S1    Rezaï, K2    Lokiec, F3
  • 33
    • 0003516766 scopus 로고
    • Statistics and data analysis: an introduction
    • AF Siegel 1988 Statistics and data analysis: an introduction Wiley New York Siegel AF (1988). Statistics and data analysis: an introduction. Wiley, New York
    • (1988)
    • Siegel, AF1
  • 34
    • 0033618487 scopus 로고    scopus 로고
    • Multivariate outlier detection applied to multiply imputed laboratory data
    • KI Penny IT Jolliffe 1999 Multivariate outlier detection applied to multiply imputed laboratory data Stat Med 18 1879 1895 10.1002/(SICI)1097-0258(19990730)18:14<1879::AID-SIM225>3.0.CO;2-6 10.1002/(SICI)1097-0258(19990730)18:14<1879::AID-SIM225>3.0.CO;2-6 1:STN:280:DyaK1MzjslymsQ%3D%3D 10407259 Penny KI and Jolliffe IT (1999). Multivariate outlier detection applied to multiply imputed laboratory data. Stat Med 18: 1879–1895
    • (1999) Stat Med , vol.18 , pp. 1879-1895
    • Penny, KI1    Jolliffe, IT2
  • 35
    • 0003587067 scopus 로고
    • Sensitivity analysis in linear regression
    • S Chatterjee AS Hadi 1988 Sensitivity analysis in linear regression Wiley New York 10.1002/9780470316764 Chatterjee S and Hadi AS (1988). Sensitivity analysis in linear regression. Wiley, New York
    • (1988)
    • Chatterjee, S1    Hadi, AS2


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