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Volumn 110, Issue 509, 2015, Pages 303-312

Inference for Subgroup Analysis With a Structured Logistic-Normal Mixture Model

Author keywords

EM algorithm; Homogeneity test; Likelihood ratio test; Subgroup identification

Indexed keywords


EID: 84928266330     PISSN: 01621459     EISSN: 1537274X     Source Type: Journal    
DOI: 10.1080/01621459.2014.894763     Document Type: Article
Times cited : (121)

References (31)
  • 1
    • 20044377408 scopus 로고    scopus 로고
    • Patterns of Treatment Effects in Subsets of Patients in Clinical Trials
    • M.Bonetti,, and R.D.Gelber, (2004), “Patterns of Treatment Effects in Subsets of Patients in Clinical Trials,” Biostatistics, 5, 465–481.
    • (2004) Biostatistics , vol.5 , pp. 465-481
    • Bonetti, M.1    Gelber, R.D.2
  • 2
    • 79953133534 scopus 로고    scopus 로고
    • Analysis of Randomized Comparative Clinical Trial Data for Personalized Treatment Selections
    • T.Cai,, L.Tian,, P.H.Wong,, and L.Wei, (2011), “Analysis of Randomized Comparative Clinical Trial Data for Personalized Treatment Selections,” Biostatistics, 12, 270–282.
    • (2011) Biostatistics , vol.12 , pp. 270-282
    • Cai, T.1    Tian, L.2    Wong, P.H.3    Wei, L.4
  • 3
    • 0038044767 scopus 로고    scopus 로고
    • Tests for Homogeneity in Normal Mixtures in the Presence of a Structural Parameter
    • H.Chen,, and J.Chen, (2003), “Tests for Homogeneity in Normal Mixtures in the Presence of a Structural Parameter,” Statistica Sinica, 13, 351–365.
    • (2003) Statistica Sinica , vol.13 , pp. 351-365
    • Chen, H.1    Chen, J.2
  • 5
    • 69049102096 scopus 로고    scopus 로고
    • Hypothesis Test for Normal Mixture Models: The EM Approach
    • J.Chen,, and P.Li, (2009), “Hypothesis Test for Normal Mixture Models: The EM Approach,” The Annals of Statistics, 37, 2523–2542.
    • (2009) The Annals of Statistics , vol.37 , pp. 2523-2542
    • Chen, J.1    Li, P.2
  • 7
    • 80053563163 scopus 로고    scopus 로고
    • Subgroup Identification From Randomized Clinical Trial Data
    • J.C.Foster,, J.M.Taylor,, and S.J.Ruberg, (2011), “Subgroup Identification From Randomized Clinical Trial Data,” Statistics in Medicine, 30, 2867–2880.
    • (2011) Statistics in Medicine , vol.30 , pp. 2867-2880
    • Foster, J.C.1    Taylor, J.M.2    Ruberg, S.J.3
  • 9
    • 0000471936 scopus 로고
    • Testing in Normal Mixture Models When the Proportions are Known
    • B.Goeffinet,, P.Loisel,, and B.Laurent, (1992), “Testing in Normal Mixture Models When the Proportions are Known,” Biometrika, 79, 842–846.
    • (1992) Biometrika , vol.79 , pp. 842-846
    • Goeffinet, B.1    Loisel, P.2    Laurent, B.3
  • 10
    • 0442268112 scopus 로고    scopus 로고
    • A Controlled Trial of Two Nucleoside Analogues Plus Indinavir in Persons With Human Immunodeficiency Virus Infection and CD4 Cell Counts of 200 Per Cubic Millimeter or Less
    • S.Hammer,, K.Squires,, M.Hughes,, J.Grimes,, (1997), “A Controlled Trial of Two Nucleoside Analogues Plus Indinavir in Persons With Human Immunodeficiency Virus Infection and CD4 Cell Counts of 200 Per Cubic Millimeter or Less,” The New England Journal of Medicine, 337, 725–733.
    • (1997) The New England Journal of Medicine , vol.337 , pp. 725-733
    • Hammer, S.1    Squires, K.2    Hughes, M.3    Grimes, J.4
  • 11
    • 0000091003 scopus 로고
    • Asymptotic Properties of Non-Linear Least Squares Estimator
    • R.I.Jennrich, (1969), “Asymptotic Properties of Non-Linear Least Squares Estimator,” The Annals of Mathematical Statistics, 40, 633–643.
    • (1969) The Annals of Mathematical Statistics , vol.40 , pp. 633-643
    • Jennrich, R.I.1
  • 12
    • 0033248628 scopus 로고    scopus 로고
    • Hierarchical Mixtures-of-Experts for Exponential Family Regression Models: Approximation and Maximum Likelihood Estimation
    • W.Jiang,, and M.A.Tanner, (1999a), “Hierarchical Mixtures-of-Experts for Exponential Family Regression Models: Approximation and Maximum Likelihood Estimation,” The Annals of Statistics, 27, 987–1011.
    • (1999) The Annals of Statistics , vol.27 , pp. 987-1011
    • Jiang, W.1    Tanner, M.A.2
  • 13
    • 0033161418 scopus 로고    scopus 로고
    • On the Approximation Rate of Hierarchical Mixtures-of-Experts for Generalized Linear Models
    • ——— (1999b), “On the Approximation Rate of Hierarchical Mixtures-of-Experts for Generalized Linear Models,” Neural Computation, 11, 1183–1198.
    • (1999) Neural Computation , vol.11 , pp. 1183-1198
  • 14
    • 0032863989 scopus 로고    scopus 로고
    • On the Identifiability of Mixtures-of-Experts
    • ——— (1999c), “On the Identifiability of Mixtures-of-Experts,” Neural Networks, 12, 1253–1258.
    • (1999) Neural Networks , vol.12 , pp. 1253-1258
  • 15
    • 0000262562 scopus 로고
    • Hierarchical Mixtures of Experts and the EM Algorithm
    • M.I.Jordan,, and R.A.Jacobs, (1994), “Hierarchical Mixtures of Experts and the EM Algorithm,” Neural Computation, 6, 181–214.
    • (1994) Neural Computation , vol.6 , pp. 181-214
    • Jordan, M.I.1    Jacobs, R.A.2
  • 19
    • 0038183179 scopus 로고    scopus 로고
    • Testing the Number of Components in a Normal Mixture
    • Y.Lo,, N.R.Mendell,, and D.B.Rubin, (2001), “Testing the Number of Components in a Normal Mixture,” Biometrika, 88, 767–778.
    • (2001) Biometrika , vol.88 , pp. 767-778
    • Lo, Y.1    Mendell, N.R.2    Rubin, D.B.3
  • 20
    • 0001044972 scopus 로고
    • Finding the Observed Information Matrix When Using the EM Algorithm
    • T.A.Louis, (1982), “Finding the Observed Information Matrix When Using the EM Algorithm,” Journal of the Royal Statistical Society, Series B, 44, 226–233.
    • (1982) Journal of the Royal Statistical Society, Series B , vol.44 , pp. 226-233
    • Louis, T.A.1
  • 22
    • 0032969449 scopus 로고    scopus 로고
    • Finite Mixture Modeling With Mixture Outcomes Using the EM Algorithm
    • B.Muthén,, and K.Shedden, (1999), “Finite Mixture Modeling With Mixture Outcomes Using the EM Algorithm,” Biometrics, 55, 463–469.
    • (1999) Biometrics , vol.55 , pp. 463-469
    • Muthén, B.1    Shedden, K.2
  • 23
    • 0030327271 scopus 로고    scopus 로고
    • Bayesian Inference in Mixtures-of-Experts and Hierarchical Mixtures-of-Experts Models With an Application to Speech Recognition
    • F.Peng,, R.A.Jacobs,, and M.A.Tanner, (1996), “Bayesian Inference in Mixtures-of-Experts and Hierarchical Mixtures-of-Experts Models With an Application to Speech Recognition,” Journal of the American Statistical Association, 91, 953–960.
    • (1996) Journal of the American Statistical Association , vol.91 , pp. 953-960
    • Peng, F.1    Jacobs, R.A.2    Tanner, M.A.3
  • 24
    • 10944237674 scopus 로고    scopus 로고
    • Evaluating Markers for Selecting a Patient’s Treatment
    • X.Song,, and M.S.Pepe, (2004), “Evaluating Markers for Selecting a Patient’s Treatment,” Biometrics, 60, 874–883.
    • (2004) Biometrics , vol.60 , pp. 874-883
    • Song, X.1    Pepe, M.S.2
  • 25
    • 0036887504 scopus 로고    scopus 로고
    • Bayesian Model Search for Mixture Models Based on Optimizing Variational Bounds
    • N.Ueda,, and Z.Ghahramani, (2002), “Bayesian Model Search for Mixture Models Based on Optimizing Variational Bounds,” Neural Networks, 15, 1223–1241.
    • (2002) Neural Networks , vol.15 , pp. 1223-1241
    • Ueda, N.1    Ghahramani, Z.2
  • 26
    • 0004272666 scopus 로고    scopus 로고
    • Cambridge Series in Statistical and Probabilistic Mathematics, Cambridge, UK: Cambridge University Press
    • A.W.van der Vaart, (1998), Asymptotic Statistics, Cambridge Series in Statistical and Probabilistic Mathematics, Cambridge, UK: Cambridge University Press.
    • (1998) Asymptotic Statistics
    • van der Vaart, A.W.1
  • 27
    • 0005884541 scopus 로고    scopus 로고
    • On a Logistic Mixture Autoregressive Model
    • C.S.Wong,, and W.K.Li, (2001), “On a Logistic Mixture Autoregressive Model,” Biometrika, 88, 833–846.
    • (2001) Biometrika , vol.88 , pp. 833-846
    • Wong, C.S.1    Li, W.K.2
  • 31
    • 28044458989 scopus 로고    scopus 로고
    • Asymptotics for Estimation and Testing Procedures Under Loss of Identifiability
    • ——— (2006), “Asymptotics for Estimation and Testing Procedures Under Loss of Identifiability,” Journal of Multivariate Analysis, 97, 19–45.
    • (2006) Journal of Multivariate Analysis , vol.97 , pp. 19-45


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