메뉴 건너뛰기




Volumn 21, Issue 4, 2015, Pages 542-560

Penalised logistic regression and dynamic prediction for discrete-time recurrent event data

Author keywords

Additive model; Event history; Logistic regression; Penalised likelihood

Indexed keywords

BIOSTATISTICS; DIARRHEA, INFANTILE; HUMAN; INFANT; PATIENT CONTROLLED ANALGESIA; PROBABILITY; STATISTICAL BIAS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; SURVIVAL ANALYSIS;

EID: 84942195422     PISSN: 13807870     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10985-015-9321-4     Document Type: Article
Times cited : (19)

References (22)
  • 2
    • 0002662712 scopus 로고
    • On the existence of maximum likelihood estimates in logistic regression models
    • Albert A, Anderson JA (1984) On the existence of maximum likelihood estimates in logistic regression models. Biometrika 71:1–10
    • (1984) Biometrika , vol.71 , pp. 1-10
    • Albert, A.1    Anderson, J.A.2
  • 3
    • 0011210301 scopus 로고
    • On estimating binomial response relations
    • Anscome FJ (1956) On estimating binomial response relations. Biometrika 43:461–464
    • (1956) Biometrika , vol.43 , pp. 461-464
    • Anscome, F.J.1
  • 4
    • 84931400026 scopus 로고
    • A statistically precise and relatively simple method of estimating the bioassay with quantal response, based on the logistic function
    • Berkson J (1953) A statistically precise and relatively simple method of estimating the bioassay with quantal response, based on the logistic function. J Am Statist Assoc 48:565–599
    • (1953) J Am Statist Assoc , vol.48 , pp. 565-599
    • Berkson, J.1
  • 5
    • 33847417861 scopus 로고    scopus 로고
    • Dynamic analysis of recurrent event data with missing observations, with application to infant diarrhoea in Brazil
    • Borgan Ø, Fiaccone RL, Henderson R, Barreto ML (2007) Dynamic analysis of recurrent event data with missing observations, with application to infant diarrhoea in Brazil. Scandinavian J Statist 34:53–69
    • (2007) Scandinavian J Statist , vol.34 , pp. 53-69
    • Borgan, Ø.1    Fiaccone, R.L.2    Henderson, R.3    Barreto, M.L.4
  • 6
    • 0003667273 scopus 로고
    • Analysis of binary data
    • Chapman and Hall, London
    • Cox DR (1970) Analysis of binary data, 1st edn. Chapman and Hall, London
    • (1970) 1st edn
    • Cox, D.R.1
  • 9
    • 0002178053 scopus 로고
    • Bias reduction of maximum likelihood estimates
    • Firth D (1993) Bias reduction of maximum likelihood estimates. Biometrika 80:27–38
    • (1993) Biometrika , vol.80 , pp. 27-38
    • Firth, D.1
  • 10
    • 33745663099 scopus 로고    scopus 로고
    • Dynamic analysis of recurrent event data using the additive hazard model
    • Fosen J, Borgan Ø, Weedon-Fekær H, Aalen OO (2006) Dynamic analysis of recurrent event data using the additive hazard model. Biometr J 48:381–398
    • (2006) Biometr J , vol.48 , pp. 381-398
    • Fosen, J.1    Borgan, Ø.2    Weedon-Fekær, H.3    Aalen, O.O.4
  • 11
    • 77049310401 scopus 로고
    • The estimation and significance of the logarithm of a ratio of frequencies
    • Haldane JBS (1956) The estimation and significance of the logarithm of a ratio of frequencies. Ann Human Genet 20:309–311
    • (1956) Ann Human Genet , vol.20 , pp. 309-311
    • Haldane, J.B.S.1
  • 12
    • 77949375519 scopus 로고    scopus 로고
    • Bias-reduced and separation-proof conditional logistic regression with small or sparse data sets
    • Heinz G, Puhr R (2010) Bias-reduced and separation-proof conditional logistic regression with small or sparse data sets. Statist Med 29:770–777
    • (2010) Statist Med , vol.29 , pp. 770-777
    • Heinz, G.1    Puhr, R.2
  • 13
    • 0037199788 scopus 로고    scopus 로고
    • A solution to the problem of separation in logistic regression
    • Heinze G, Schemper M (2002) A solution to the problem of separation in logistic regression. Statist Med 21:2409–2419
    • (2002) Statist Med , vol.21 , pp. 2409-2419
    • Heinze, G.1    Schemper, M.2
  • 14
    • 33845900763 scopus 로고    scopus 로고
    • A comparative investigation of methods for logistic regression with separated or nearly separated data
    • Heinze G (2006) A comparative investigation of methods for logistic regression with separated or nearly separated data. Statist Med 25:4216–4226
    • (2006) Statist Med , vol.25 , pp. 4216-4226
    • Heinze, G.1
  • 15
    • 0344097453 scopus 로고    scopus 로고
    • Identification and efficacy of longitudinal markers for survival
    • Henderson R, Diggle PJ, Dobson A (2002) Identification and efficacy of longitudinal markers for survival. Biostatistics 3:33–50
    • (2002) Biostatistics , vol.3 , pp. 33-50
    • Henderson, R.1    Diggle, P.J.2    Dobson, A.3
  • 16
    • 15544368189 scopus 로고    scopus 로고
    • Individual survival time prediction using statistical models. (Forudsigelse af individuelle levetider ved hjaelp af statistuiske modeller)
    • Henderson R, Keiding N (2005a) Individual survival time prediction using statistical models. (Forudsigelse af individuelle levetider ved hjaelp af statistuiske modeller). Danish Med J 167/10:1174–1177
    • (2005) Danish Med J , vol.167-10 , pp. 1174-1177
    • Henderson, R.1    Keiding, N.2
  • 17
    • 29544445940 scopus 로고    scopus 로고
    • Individual survival time prediction using statistical models
    • Henderson R, Keiding N (2005b) Individual survival time prediction using statistical models. J Med Ethics 31:703–706
    • (2005) J Med Ethics , vol.31 , pp. 703-706
    • Henderson, R.1    Keiding, N.2
  • 20
    • 0029022967 scopus 로고
    • Exact logistic regression: theory and examples
    • Mehta CR, Patel NR (1995) Exact logistic regression: theory and examples. Statist Med 14:2143–2160
    • (1995) Statist Med , vol.14 , pp. 2143-2160
    • Mehta, C.R.1    Patel, N.R.2
  • 21
    • 70149108170 scopus 로고    scopus 로고
    • Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach
    • Proust-Lima C, Taylor JMG (2009) Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach. Biostatistics 10:535–549
    • (2009) Biostatistics , vol.10 , pp. 535-549
    • Proust-Lima, C.1    Taylor, J.M.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.