scholarly journals Hospital- and patient-related characteristics determining maternity length of stay: a hierarchical linear model approach.

1998 ◽  
Vol 88 (3) ◽  
pp. 377-381 ◽  
Author(s):  
K M Leung ◽  
R M Elashoff ◽  
K S Rees ◽  
M M Hasan ◽  
A P Legorreta
Keyword(s):  
Length Of Stay ◽  
Linear Model ◽  
Hierarchical Linear Model ◽  
Model Approach

scholarly journals Standard Errors and Sample Sizes for Two-Level Research

1993 ◽  
Vol 18 (3) ◽  
pp. 237-259 ◽  
Author(s):  
Tom A. B. Snijders ◽  
Roel J. Bosker
Keyword(s):  
Linear Model ◽  
Covariance Matrix ◽  
Hierarchical Linear Model ◽  
Regression Coefficients ◽  
Random Regression ◽  
Standard Errors ◽  
Sample Sizes ◽  
Level Design ◽  
Model Approach

The hierarchical linear model approach to a two-level design is considered, some variables at the lower level having fixed and others having random regression coefficients. An approximation is derived to the covariance matrix of the estimators of the fixed regression coefficients (for variables at the lower and the higher level) under the assumption that the sample sizes at either level are large enough. This covariance matrix is expressed as a function of parameters occurring in the model. If a research planner can make a reasonable guess as to these parameters, this approximation can be used as a guide to the choice of sample sizes at either level.

Hierarchical Linear Model for Investigating Effect of Built Environment on Bus Transit

2020 ◽  
Vol 146 (2) ◽  
pp. 04020010 ◽  
Author(s):  
Liyuan Zhao ◽  
Shuxian Wang ◽  
Jialing Wei ◽  
Zhong-Ren Peng
Keyword(s):  
Built Environment ◽  
Linear Model ◽  
Hierarchical Linear Model ◽  
Bus Transit
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