Results of Bayesian statistical analysis in normal and ALS subjects

Henderson, R. D., Ridall, P. G., Pettitt, A. N. and McCombe, P. A. (2009). Results of Bayesian statistical analysis in normal and ALS subjects. In: Motor unit number estimation (MUNE) and quantitative EMG : selected presentations from the Second International Symposium on MUNE and QEMG. 2nd International Symposium on MUNE and QEMG, Utah, United States, (57-63). 18-20 August 2006. doi:10.1016/S1567-424X(08)00005-6


Author Henderson, R. D.
Ridall, P. G.
Pettitt, A. N.
McCombe, P. A.
Title of paper Results of Bayesian statistical analysis in normal and ALS subjects
Conference name 2nd International Symposium on MUNE and QEMG
Conference location Utah, United States
Conference dates 18-20 August 2006
Proceedings title Motor unit number estimation (MUNE) and quantitative EMG : selected presentations from the Second International Symposium on MUNE and QEMG   Check publisher's open access policy
Journal name Supplements to Clinical Neurophysiology   Check publisher's open access policy
Place of Publication Amsterdam, The Netherlands
Publisher Elsevier BV
Publication Year 2009
Year available 2009
Sub-type Fully published paper
DOI 10.1016/S1567-424X(08)00005-6
Open Access Status Not Open Access
ISBN 9780444529091
0444529098
ISSN 1567-424X
Volume 60
Start page 57
End page 63
Total pages 7
Chapter number 5
Total chapters 29
Language eng
Formatted Abstract/Summary
This chapter reviews the need for a broadly applicable motor unit number estimation (MUNE) method to allow research into possible therapies for amyotrophic lateral sclerosis (ALS). An ideal MUNE method needs to be applicable to all stages of ALS, to avoid the problems associated with sampling motor units, to allow for motor unit variability, and to have simple data collection methods so that it can be widely applied in different centers. The chapter explores that the knowledge obtained from the study of the stimulus–response curve, and from existing MUNE methods and their limitations led to the development of a Bayesian statistical approach to MUNE. The biological background and statistical methods for Bayesian MUNE method based on the whole stimulus–response curve have been presented. The results of studies in normal subjects and patients with ALS are also discussed in the chapter. 
Subjects 2800 Neuroscience
2728 Clinical Neurology
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Conference Paper
Collection: UQ Centre for Clinical Research Publications
 
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