-
1
-
-
0033012658
-
Modeling of high-cost patient distribution within renal failure diagnosis related group
-
Quantin, C., Sauleau, E., Bolard, P., Mousson, C., Kerkri, M., Brinet Lecomte, P., Moreau, T., and Dusserie, L. (1999). Modeling of high-cost patient distribution within renal failure diagnosis related group. Journal of Clinical Epidemiology 52, 251-258.
-
(1999)
Journal of Clinical Epidemiology
, vol.52
, pp. 251-258
-
-
Quantin, C.1
Sauleau, E.2
Bolard, P.3
Mousson, C.4
Kerkri, M.5
Brinet Lecomte, P.6
Moreau, T.7
Dusserie, L.8
-
2
-
-
0035654176
-
Determinants of maternity length of stay: A gamma mixture risk-adjusted model
-
Lee, A. H., Ng, A. S. K., and Yau, K. K. W. (2001). Determinants of maternity length of stay: A gamma mixture risk-adjusted model. Health Care Management Science 4, 249-255.
-
(2001)
Health Care Management Science
, vol.4
, pp. 249-255
-
-
Lee, A.H.1
Ng, A.S.K.2
Yau, K.K.W.3
-
3
-
-
0036171522
-
Public versus private hospital maternity length of stay: A gamma mixture modeling approach
-
Lee, A. H., Xiao, J., Codde, J. R, and Ng, A. S. K. (2002). Public versus private hospital maternity length of stay: A gamma mixture modeling approach. Health Service Management Research 15, 46-54.
-
(2002)
Health Service Management Research
, vol.15
, pp. 46-54
-
-
Lee, A.H.1
Xiao, J.2
Codde, J.R.3
Ng, A.S.K.4
-
4
-
-
23044476705
-
Modelling bivariate count series with excess zeros
-
Lee, A. H., Wang, K., Yau, K. K. W., Carrivick, P. J. W., and Stevenson, M. R. (2005). Modelling bivariate count series with excess zeros. Mathematical Biosciences 196, 226-237.
-
(2005)
Mathematical Biosciences
, vol.196
, pp. 226-237
-
-
Lee, A.H.1
Wang, K.2
Yau, K.K.W.3
Carrivick, P.J.W.4
Stevenson, M.R.5
-
5
-
-
0031969745
-
Hospital- and patient-related characteristics determining maternity length of stay: A hierarchical linear model approach
-
Leung, K. M., Elashoff, R. M., Rees, K. S., Hasan, M. M., and Legorreta, A. P. (1998). Hospital- and patient-related characteristics determining maternity length of stay: a hierarchical linear model approach. American Journal of Public Health 88, 377-381.
-
(1998)
American Journal of Public Health
, vol.88
, pp. 377-381
-
-
Leung, K.M.1
Elashoff, R.M.2
Rees, K.S.3
Hasan, M.M.4
Legorreta, A.P.5
-
6
-
-
0003605027
-
-
SAS Institute Inc, Cary, NC, USA
-
Littell, R. C., Milliken, G. A., Stroup, W. W., and Wolfmger, R. D. (1996). SAS System for Mixed Models. SAS Institute Inc., Cary, NC, USA.
-
(1996)
SAS System for Mixed Models
-
-
Littell, R.C.1
Milliken, G.A.2
Stroup, W.W.3
Wolfmger, R.D.4
-
7
-
-
0032092435
-
Fitting the distributions of length of stay by parametric models
-
Marazzi, A., Paccaud, F., Ruffieux, C., and Beguin, C. (1998). Fitting the distributions of length of stay by parametric models. Medical Care 36, 915-927.
-
(1998)
Medical Care
, vol.36
, pp. 915-927
-
-
Marazzi, A.1
Paccaud, F.2
Ruffieux, C.3
Beguin, C.4
-
9
-
-
4444257472
-
Modelling the distribution of ischaemic stroke-specific survival time using an EM-based mixture approach with random effects adjustment
-
Ng, S. K., McLachlan, G. J., Yau, K. K. W., and Lee, A. H. (2004). Modelling the distribution of ischaemic stroke-specific survival time using an EM-based mixture approach with random effects adjustment. Statistics in Medicine 23, 2729-2744.
-
(2004)
Statistics in Medicine
, vol.23
, pp. 2729-2744
-
-
Ng, S.K.1
McLachlan, G.J.2
Yau, K.K.W.3
Lee, A.H.4
-
10
-
-
28044456588
-
-
SAS Institute Inc, SAS Institute Inc, Cary, NC, USA
-
SAS Institute Inc. (2004). SAS 9.1.3 Help and Documentation. SAS Institute Inc., Cary, NC, USA.
-
(2004)
SAS 9.1.3 Help and Documentation
-
-
-
11
-
-
0029996354
-
Length of the hospital stay for mothers and newborns
-
Solomon, G. L. (1996). Length of the hospital stay for mothers and newborns. New England Journal of Medicine 334, 1134.
-
(1996)
New England Journal of Medicine
, vol.334
, pp. 1134
-
-
Solomon, G.L.1
-
12
-
-
9844234808
-
A Delphi evaluation of the factors influencing length of stay in Australian hospitals
-
Xiao, J., Douglas, D., Lee, A. H., and Vemuri, S. R. (1997). A Delphi evaluation of the factors influencing length of stay in Australian hospitals. International Journal of Health Planning and Management 12, 207-218.
-
(1997)
International Journal of Health Planning and Management
, vol.12
, pp. 207-218
-
-
Xiao, J.1
Douglas, D.2
Lee, A.H.3
Vemuri, S.R.4
-
13
-
-
0344958758
-
Mixture distribution analysis of length of hospital stay for efficient funding
-
Xiao, J., Lee, A. H., and Vemuri, S. R. (1999). Mixture distribution analysis of length of hospital stay for efficient funding. Socio-Economic Planning Sciences 33, 39-59.
-
(1999)
Socio-Economic Planning Sciences
, vol.33
, pp. 39-59
-
-
Xiao, J.1
Lee, A.H.2
Vemuri, S.R.3
-
14
-
-
0037469109
-
Finite mixture regression model with random effects: Application to neonatal hospital length of stay
-
Yau, K. K. W., Lee, A. H., and Ng, A. S. K. (2003). Finite mixture regression model with random effects: Application to neonatal hospital length of stay. Computational Statistics & Data Analysis 41, 359-366.
-
(2003)
Computational Statistics & Data Analysis
, vol.41
, pp. 359-366
-
-
Yau, K.K.W.1
Lee, A.H.2
Ng, A.S.K.3
-
15
-
-
0037669808
-
Zero-inflated negative binomial mixed regression modeling of over-dispersed count data with extra zeros
-
Yau, K. K. W., Wang, K., and Lee, A. H. (2003). Zero-inflated negative binomial mixed regression modeling of over-dispersed count data with extra zeros. Biometrical Journal 45, 437-452.
-
(2003)
Biometrical Journal
, vol.45
, pp. 437-452
-
-
Yau, K.K.W.1
Wang, K.2
Lee, A.H.3
|