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Determination of Best Variance-Covariance Structure in Mixed Model (SAS Proc Mixed) with Various Parameter Estimation Methods

2020
The aim of this study was to compare the covariance structures by using Maximum Likelihood (ML), Restricted Maximum Likelihood (REML) and Minimum Variance Quadratic Unbiased Estimator (MIVQUE) in the estimation methods in repeated measures design with mixed model approach. In the study, live weight (birth, 30th, 60th, 90th, 120th day) values of 60 head
openaire   +1 more source

Mixed Results on Link Between Cellular Telephones and Cancer

Ca-A Cancer Journal for Clinicians, 2010
John Henry Dreyfuss
exaly  

Unproven Methods of Cancer Treatment Coley's Mixed Toxins

Ca-A Cancer Journal for Clinicians, 1965
Harry Grabstald
exaly  

Selection of Alfalfa Cultivars Adapted for Tropical Environments With Repeated Measures Using PROC MIXED of SAS® System

Plant Genetic Resources: Characterisation and Utilisation, 2010
Maria Eugênia Zerlotti Mercadante   +2 more
exaly  

The Primary Care Provider (PCP)-Cancer Specialist Relationship: A Systematic Review and Mixed-Methods Meta-Synthesis

Ca-A Cancer Journal for Clinicians, 2017
Arden Morris   +2 more
exaly  

Problematic Formulations of SAS PROC.MIXED Models for Repeated Measurements.

Journal of Biopharmaceutical Statistics, 1999
Chul Ahn, John E Overall
exaly  

Issues in Use of SAS PROC.MIXED to Test the Significance of Treatment Effects in Controlled Clinical Trials.

Journal of Biopharmaceutical Statistics, 2000
Chul Ahn   +2 more
exaly  

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