-
3
-
-
0034267917
-
A discussion of item response theory and its application in health status assessment
-
[3] F. Cella and C.H. Chang, A discussion of item response theory and its application in health status assessment, Med. Care 38(Suppl. II) (2000), pp. 66–72.
-
(2000)
Med. Care
, vol.38
, pp. 66-72
-
-
Cella, F.1
Chang, C.H.2
-
4
-
-
34447136274
-
Next steps for use of item response theory in the assessment of health outcomes
-
[4] R. Hays and J. Lipscomb, Next steps for use of item response theory in the assessment of health outcomes, Qual. Life Res. 16 (2007), pp. 195–199.
-
(2007)
Qual. Life Res
, vol.16
, pp. 195-199
-
-
Hays, R.1
Lipscomb, J.2
-
5
-
-
34247399601
-
Item response theory analyses of physical functioning items in the medical outcome study
-
[5] R. Hays, H. Liu, K. Spritzer, and D. Cella, Item response theory analyses of physical functioning items in the medical outcome study, Med. Care 45 (2007), pp. 32–38.
-
(2007)
Med. Care
, vol.45
, pp. 32-38
-
-
Hays, R.1
Liu, H.2
Spritzer, K.3
Cella, D.4
-
6
-
-
11344280118
-
Detection of determinant genes and diagnostic via item response theory
-
[6] H. Tavares, D. Andrade, and C. Pereira, Detection of determinant genes and diagnostic via item response theory, Genet. Mol. Biol. 27 (2004), pp. 679–685.
-
(2004)
Genet. Mol. Biol
, vol.27
, pp. 679-685
-
-
Tavares, H.1
Andrade, D.2
Pereira, C.3
-
7
-
-
36749057742
-
Penalized item response theory models: Application to epigenetic alterations in bladder cancer
-
[7] E. Houseman, C. Marsit, M. Karagas, and L. Ryan, Penalized item response theory models: Application to epigenetic alterations in bladder cancer, Biometrics 63 (2007), pp. 1269–1277.
-
(2007)
Biometrics
, vol.63
, pp. 1269-1277
-
-
Houseman, E.1
Marsit, C.2
Karagas, M.3
Ryan, L.4
-
8
-
-
42349104040
-
Application of multidimensional selective item response regression model for studying multiple gene methylation in SV40 oncogenic pathways
-
[8] H. Lin, Z. Feng, Y. Yu, Y. Zheng, N. Shivapurkar, and A. Gazdar, Application of multidimensional selective item response regression model for studying multiple gene methylation in SV40 oncogenic pathways, J. Amer. Statist. Assoc. 103 (2008), pp. 201–211.
-
(2008)
J. Amer. Statist. Assoc
, vol.103
, pp. 201-211
-
-
Lin, H.1
Feng, Z.2
Yu, Y.3
Zheng, Y.4
Shivapurkar, N.5
Gazdar, A.6
-
9
-
-
26944443048
-
Semantic analysis of association rules via item response theory
-
[9] S. Hamano and M. Sato, Semantic analysis of association rules via item response theory, Mach. Learn. Data Mining Pattern Recogn. 3587 (2005), pp. 641–650.
-
(2005)
Mach. Learn. Data Mining Pattern Recogn
, vol.3587
, pp. 641-650
-
-
Hamano, S.1
Sato, M.2
-
10
-
-
69949111872
-
Application of item response theory to collaborative filtering
-
ISNN 2009
-
[10] B. Hu, Y. Zhou, J. Wang, L. Li, and L. Shen, Application of item response theory to collaborative filtering, Adv. Neural Networks–ISNN 2009 (2009), pp. 766–773.
-
(2009)
Adv. Neural Networks
, pp. 766-773
-
-
Hu, B.1
Zhou, Y.2
Wang, J.3
Li, L.4
Shen, L.5
-
11
-
-
0000433590
-
Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm
-
[11] R.D. Bock and M. Aitkin, Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm, Psychometrika 46 (1981), pp. 443–459.
-
(1981)
Psychometrika
, vol.46
, pp. 443-459
-
-
Bock, R.D.1
Aitkin, M.2
-
13
-
-
28844454343
-
High-dimensional maximum marginal likelihood item factor analysis by adaptive quadrature
-
[13] S. Schilling and R.D. Bock, High-dimensional maximum marginal likelihood item factor analysis by adaptive quadrature, Psychometrika 70 (2005), pp. 533–555.
-
(2005)
Psychometrika
, vol.70
, pp. 533-555
-
-
Schilling, S.1
Bock, R.D.2
-
14
-
-
0030336223
-
Fitting full-information item factor models and an empirical investigation of bridge sampling
-
[14] X.L. Meng and S. Schilling, Fitting full-information item factor models and an empirical investigation of bridge sampling, J. Amer. Statist. Assoc. 91 (1996), pp. 1254–1267.
-
(1996)
J. Amer. Statist. Assoc
, vol.91
, pp. 1254-1267
-
-
Meng, X.L.1
Schilling, S.2
-
15
-
-
77950076362
-
High-dimensional exploratory item factor analysis by a Metropolis–Hastings Robbins–Monro algorithm
-
[15] L. Cai, High-dimensional exploratory item factor analysis by a Metropolis–Hastings Robbins–Monro algorithm, Psychometrika 75 (2010), pp. 33–57.
-
(2010)
Psychometrika
, vol.75
, pp. 33-57
-
-
Cai, L.1
-
16
-
-
0001303107
-
A note on Gauss–Hermite quadrature
-
[16] Q. Liu and D. Pierce, A note on Gauss–Hermite quadrature, Biometrika 81 (1994), p. 624.
-
(1994)
Biometrika
, vol.81
, pp. 624
-
-
Liu, Q.1
Pierce, D.2
-
17
-
-
84993741970
-
A survey of Monte Carlo algorithms for maximizing the likelihood of a two-stage hierarchical model
-
[17] J. Booth, J. Hobert, and W. Jank, A survey of Monte Carlo algorithms for maximizing the likelihood of a two-stage hierarchical model, Statist. Model. 1 (2001), p. 333.
-
(2001)
Statist. Model
, vol.1
, pp. 333
-
-
Booth, J.1
Hobert, J.2
Jank, W.3
-
19
-
-
0034420823
-
Nesting EM algorithms for computational efficiency
-
[19] D.A. van Dyk, Nesting EM algorithms for computational efficiency, Statistica Sinica 10 (2000), pp. 203–225.
-
(2000)
Statistica Sinica
, vol.10
, pp. 203-225
-
-
Van Dyk, D.A.1
-
20
-
-
6344222582
-
Factor rotations in factor analyses
-
M. Lewis-Beck, A. Bryman, and T. Futing, eds., Sage, Thousand Oaks, CA
-
[20] H. Abdi, Factor rotations in factor analyses, in Encyclopedia for Research Methods for the Social Sciences, M. Lewis-Beck, A. Bryman, and T. Futing, eds., Sage, Thousand Oaks, CA, 2003, pp. 792–795.
-
(2003)
Encyclopedia for Research Methods for the Social Sciences
, pp. 792-795
-
-
Abdi, H.1
-
21
-
-
0032375617
-
Analysis of two-level structural equation models via EM type algorithms
-
[21] S.Y. Lee and W.Y. Poon, Analysis of two-level structural equation models via EM type algorithms, Statistica Sinica 8 (1998), pp. 749–766.
-
(1998)
Statistica Sinica
, vol.8
, pp. 749-766
-
-
Lee, S.Y.1
Poon, W.Y.2
-
22
-
-
0031479575
-
Maximum likelihood algorithms for generalized linear mixed models
-
[22] C.E. McCulloch, Maximum likelihood algorithms for generalized linear mixed models, J. Amer. Statist. Assoc. 92 (1997), pp. 162–170.
-
(1997)
J. Amer. Statist. Assoc
, vol.92
, pp. 162-170
-
-
McCulloch, C.E.1
-
23
-
-
27744588060
-
Generalized linear latent variable models for repeated measures of spatially correlated multivariate data
-
[23] J. Zhu, J.C. Eickhoff, and P. Yan, Generalized linear latent variable models for repeated measures of spatially correlated multivariate data, Biometrics 61 (2005), pp. 674–683.
-
(2005)
Biometrics
, vol.61
, pp. 674-683
-
-
Zhu, J.1
Eickhoff, J.C.2
Yan, P.3
-
24
-
-
84916537550
-
Bayesian analysis of binary and polychotomous response data
-
[24] J.H. Albert and S. Chib, Bayesian analysis of binary and polychotomous response data, J. Amer. Statist. Assoc. 88 (1993), pp. 669–679.
-
(1993)
J. Amer. Statist. Assoc
, vol.88
, pp. 669-679
-
-
Albert, J.H.1
Chib, S.2
-
25
-
-
34250232348
-
EM algorithms for ML factor analysis
-
[25] D. Rubin and D. Thayer, EM algorithms for ML factor analysis, Psychometrika 47 (1982), pp. 69–76.
-
(1982)
Psychometrika
, vol.47
, pp. 69-76
-
-
Rubin, D.1
Thayer, D.2
-
26
-
-
0000251971
-
Maximum likelihood estimation via the ECM algorithm: A general framework
-
[26] X.L. Meng and D.B. Rubin, Maximum likelihood estimation via the ECM algorithm: A general framework, Biometrika 80 (1993), pp. 267–278.
-
(1993)
Biometrika
, vol.80
, pp. 267-278
-
-
Meng, X.L.1
Rubin, D.B.2
-
27
-
-
0001508169
-
Parameter expansion to accelerate EM: The PX-EM algorithm
-
[27] C.H. Liu, D.B. Rubin, and Y.N. Wu, Parameter expansion to accelerate EM: The PX-EM algorithm, Biometrika 85 (1998), pp. 755–770.
-
(1998)
Biometrika
, vol.85
, pp. 755-770
-
-
Liu, C.H.1
Rubin, D.B.2
Wu, Y.N.3
|