Assessment of Individual Agreements with Repeated Measurements Based on Generalized Confidence Intervals

2009 ◽  
Vol 19 (2) ◽  
pp. 345-359 ◽  
Author(s):  
Jorge Quiroz ◽  
Richard K. Burdick
Keyword(s):  
Confidence Intervals ◽  
Repeated Measurements ◽  
Generalized Confidence Intervals

scholarly journals Evaluation of Rhodotorula growth on solid substrate via a linear mixed effects model

2011 ◽  
Vol 29 (No. 4) ◽  
pp. 400-410 ◽  
Author(s):  
T. Krulikovská ◽  
E. Jarošová ◽  
P. Patáková
Keyword(s):  
Growth Rate ◽  
Confidence Intervals ◽  
Solid Substrate ◽  
Mixed Effects ◽  
Repeated Measurements ◽  
Mixed Effects Model ◽  
Cultivation Conditions ◽  
Linear Mixed Effects Model ◽  
Linear Mixed Effects ◽  
The Impact

The growth of Rhodotorula glutinis and Rhodotorula mucilaginosa was studied under optimal and stress cultivation conditions at 10°C and 20°C for 14 days. The method of image analysis was used to determine the size of colonies. The linear mixed effects model implemented in the statistical program S-PLUS was applied to analyse the repeated measurements. Two-phase kinetics was confirmed and the mean growth rates in the second linear phase under various stress conditions were estimated. The results indicated a higher growth rate of R. mucilaginosa than was that of R. glutinis under all cultivation conditions. The highest growth rate of was observed during the cultivation of R. mucilaginosa in media with 2% of NaCl at 20°C. The impact of neglecting the fact that repeated data are not independent and using the classical regression model instead of the mixed effects model was demonstrated through the comparison of the confidence intervals for the parameters based on both approaches. While the point estimates of the corresponding parameters were similar, the width of the confidence intervals differed substantially.

scholarly journals Pairwise comparisons for parallel profile models with mixed effects

2012 ◽  
Vol 51 (1) ◽  
pp. 67-73
Author(s):  
Hiroto Hyakutake
Keyword(s):  
Confidence Intervals ◽  
Random Effects ◽  
Nonlinear Models ◽  
Mixed Effects ◽  
Repeated Measurements ◽  
Pairwise Comparisons ◽  
Simultaneous Confidence Intervals ◽  
Regression Parameters ◽  
The Mean ◽  
Linear And Nonlinear

ABSTRACT There are several linear and nonlinear models for analyzing repeated measurements. The mean response for an individual depends on the regression parameters specific to that individual. One of the simple forms is the sum of vectors of fixed parameters and random effects. When the models with mixed effects for several groups are parallel, pairwise comparisons of level differences are considered. For the comparisons, approximate simultaneous confidence intervals are given.

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