메뉴 건너뛰기




Volumn 7, Issue 6, 2003, Pages 462-468

Comparison of methods for analyzing longitudinal binary outcomes: Cognitive status as an example

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGE DISTRIBUTION; AGED; ARTICLE; COGNITION; COGNITIVE DEFECT; COMPARATIVE STUDY; CORRELATION ANALYSIS; COVARIANCE; DAILY LIFE ACTIVITY; DIAGNOSTIC ERROR; FEMALE; GENDER; GENERALIZED ESTIMATING EQUATION; HUMAN; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; LONGITUDINAL BINARY OUTCOME; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; MEDICAL RESEARCH; METHODOLOGY; OUTCOMES RESEARCH; POPULATION AVERAGED MODEL; PRIORITY JOURNAL; QUESTIONNAIRE; RANDOM INTERCEPT MODEL; STANDARD; STATISTICAL MODEL; STATISTICAL PARAMETERS; TIME;

EID: 0142245688     PISSN: 13607863     EISSN: None     Source Type: Journal    
DOI: 10.1080/13607860310001594727     Document Type: Article
Times cited : (13)

References (31)
  • 2
    • 0034732936 scopus 로고    scopus 로고
    • Residual analysis of the generalized linear models for longitudinal data
    • CHANG, Y. (2000). Residual analysis of the generalized linear models for longitudinal data. Statistics in Medicine, 19, 1277-1293.
    • (2000) Statistics in Medicine , vol.19 , pp. 1277-1293
    • Chang, Y.1
  • 3
    • 0010995059 scopus 로고
    • Established Populations for Epidemiologic Studies of the Elderly
    • National Institute on Aging, DHHS, NIH, NIH Publication No. 90-495
    • CORNONI-HUNTLEY, J., BLAZER, D.G., LAFFFRTY, M.E., EVERETT, D.F., BROCK, D.B. & FARMER, M.E. (1990): Established Populations for Epidemiologic Studies of the Elderly. Resource data book. Vol. II. National Institute on Aging, DHHS, NIH, NIH Publication No. 90-495.
    • (1990) Resource Data Book , vol.2
    • Cornoni-Huntley, J.1    Blazer, D.G.2    Lafffrty, M.E.3    Everett, D.F.4    Brock, D.B.5    Farmer, M.E.6
  • 5
    • 4243828610 scopus 로고
    • Informative dropout in longitudinal data analysis
    • DIGGLE, P.J. & KENWARD, M.G. (1994). Informative dropout in longitudinal data analysis. Applies Statistics, 43, 49-93.
    • (1994) Applies Statistics , vol.43 , pp. 49-93
    • Diggle, P.J.1    Kenward, M.G.2
  • 11
    • 0017135740 scopus 로고
    • A measure of primary socio-biological functions
    • KATZ, S. & AKPOM, C.A. (1976). A measure of primary socio-biological functions. Health Services, 6, 493-508.
    • (1976) Health Services , vol.6 , pp. 493-508
    • Katz, S.1    Akpom, C.A.2
  • 12
    • 0023716933 scopus 로고
    • Missing data in longitudinal studies
    • LAIRD, N.M. (1988). Missing data in longitudinal studies. Statistics in Medicine, 7, 305-315.
    • (1988) Statistics in Medicine , vol.7 , pp. 305-315
    • Laird, N.M.1
  • 13
    • 0020333131 scopus 로고
    • Random-effects models for longitudinal data
    • LAIRD, N.M. & WARE, J.H. (1982). Random-effects models for longitudinal data. Biometrics, 38, 963-974.
    • (1982) Biometrics , vol.38 , pp. 963-974
    • Laird, N.M.1    Ware, J.H.2
  • 15
    • 84950452119 scopus 로고
    • Modeling dropout mechanism in repeated measures studies
    • LITTLE, R.J.A. (1995). Modeling dropout mechanism in repeated measures studies. Journal of American Statistical Association, 90, 1112-1121.
    • (1995) Journal of American Statistical Association , vol.90 , pp. 1112-1121
    • Little, R.J.A.1
  • 16
    • 77649173768 scopus 로고
    • Longitudinal data analysis using generalized linear models
    • LIANG, K.-Y. & ZEGER, S.L. (1986). Longitudinal data analysis using generalized linear models. Biometrika, 73, 13-22.
    • (1986) Biometrika , vol.73 , pp. 13-22
    • Liang, K.-Y.1    Zeger, S.L.2
  • 17
    • 0033919665 scopus 로고    scopus 로고
    • GEE with Gaussian estimation of the correlations when data are incomplete
    • LIPSITZ, S.R., MOLENBERGHS, G., FITZMAURICE, G.M. & IBRAHIM, J. (2000). GEE with Gaussian estimation of the correlations when data are incomplete. Biometrics, 56 (2), 528-536.
    • (2000) Biometrics , vol.56 , Issue.2 , pp. 528-536
    • Lipsitz, S.R.1    Molenberghs, G.2    Fitzmaurice, G.M.3    Ibrahim, J.4
  • 18
    • 0002512643 scopus 로고
    • A comparison of cluster-specific and population-averaged approaches for analyzing correlated binary data
    • NEUHAUS, J.M., KALBFLEISH, J.D. & HAUCK, W.W. (1991). A comparison of cluster-specific and population-averaged approaches for analyzing correlated binary data. International Statistical Review, 59 (1), 25-36.
    • (1991) International Statistical Review , vol.59 , Issue.1 , pp. 25-36
    • Neuhaus, J.M.1    Kalbfleish, J.D.2    Hauck, W.W.3
  • 19
    • 0026958173 scopus 로고
    • Statistical methods for longitudinal and clustered designs for binary response data
    • NEUHAUS, J.M. (1992). Statistical methods for longitudinal and clustered designs for binary response data. Statistical Methods in Medical Research, 1, 249-273.
    • (1992) Statistical Methods in Medical Research , vol.1 , pp. 249-273
    • Neuhaus, J.M.1
  • 20
    • 0035102570 scopus 로고    scopus 로고
    • Akaike's information criterion in generalized estimating equations
    • PAN, W. (2001). Akaike's information criterion in generalized estimating equations. Biometrics, 57, 120-125.
    • (2001) Biometrics , vol.57 , pp. 120-125
    • Pan, W.1
  • 22
    • 0016837052 scopus 로고
    • A short portable mental status questionnaire for the assessment of organic brain deficit in elderly patients
    • PFEIFFER, E. (1975). A short portable mental status questionnaire for the assessment of organic brain deficit in elderly patients. Journal of the American Geriatrics Society, 23, 433-441.
    • (1975) Journal of the American Geriatrics Society , vol.23 , pp. 433-441
    • Pfeiffer, E.1
  • 23
    • 0037202104 scopus 로고    scopus 로고
    • Performance of weighted estimating equations for longitudinal binary data dropouts missing at random
    • PREISSER, J.S., LOHMAN, K.K. & RATHOUZ, P.J. (2002). Performance of weighted estimating equations for longitudinal binary data dropouts missing at random. Statistics in Medicine, 21 (20), 3035-3054.
    • (2002) Statistics in Medicine , vol.21 , Issue.20 , pp. 3035-3054
    • Preisser, J.S.1    Lohman, K.K.2    Rathouz, P.J.3
  • 24
    • 84950421496 scopus 로고
    • Analysis of semi-parametric regression models for repeated outcomes in the presence of missing data
    • ROBINS, J.M., ROTNITZKY, A.G. & ZHAO, L.P. (1995). Analysis of semi-parametric regression models for repeated outcomes in the presence of missing data. Journal of the American Statistical Association, 90, 106-121.
    • (1995) Journal of the American Statistical Association , vol.90 , pp. 106-121
    • Robins, J.M.1    Rotnitzky, A.G.2    Zhao, L.P.3
  • 25
    • 33846673844 scopus 로고
    • Semi-parametric regression estimation in the presence of dependent censoring
    • ROTNITZKY, A.G. & ROBINS, J.M. (1995). Semi-parametric regression estimation in the presence of dependent censoring. Biometrika, 82 (4), 805-820.
    • (1995) Biometrika , vol.82 , Issue.4 , pp. 805-820
    • Rotnitzky, A.G.1    Robins, J.M.2
  • 26
  • 28
  • 29
    • 0021730579 scopus 로고
    • Random-effects models for serial observations with binary response
    • STIRATELLI, R., LAIRD, N. & WARE, J. (1984) Random-effects models for serial observations with binary response. Biometrics, 40, 961-971.
    • (1984) Biometrics , vol.40 , pp. 961-971
    • Stiratelli, R.1    Laird, N.2    Ware, J.3
  • 30
    • 0030775537 scopus 로고    scopus 로고
    • Weighted estimating equations with non-ignorable missing data
    • TROXEL, A.B., LIPSITZ, S.R. & BRENNAN, T.A. (1997). Weighted estimating equations with non-ignorable missing data. Biometrics, 53 (3), 857-869.
    • (1997) Biometrics , vol.53 , Issue.3 , pp. 857-869
    • Troxel, A.B.1    Lipsitz, S.R.2    Brennan, T.A.3
  • 31
    • 0034732874 scopus 로고    scopus 로고
    • Summarizing the goodness of fit of generalized linear models for longitudinal data
    • ZHENG, B. (2000). Summarizing the goodness of fit of generalized linear models for longitudinal data. Statistics in Medicine, 19, 1265-1275.
    • (2000) Statistics in Medicine , vol.19 , pp. 1265-1275
    • Zheng, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.