Showing posts with label Statistical Analysis. Show all posts
Showing posts with label Statistical Analysis. Show all posts

Thursday, 30 July 2020

Study 4 - Early Bio-marker for Parkinson’s Disease ...

The final objective is to review the evidence from each of the five experimental studies to investigate the efficacy of using leukocytes to sense early deviations in bioenergetic levels and changes in metabolic stress associated with mitochondrial dysfunction. This capability would make leukocytes a potentially sensitive early biomarker for therapeutic and clinical intervention in neurodegenerative progression of PD (Braganza, Annarapu, & Shiva, 2020; Kramer, Ravi, Chacko, Johnson, & Darley-Usmar, 2014).

Statistical Analysis of Leukocyte Early Bio-marker

Correlation analysis will be used to review OCR and ECAR levels between PD and HC to establish high level relationships for any bioenergetic dysfunctions/impairment. Any changes detected will be tested for significance using between and within sample student t testing. Where patterns of significant change have been observed, multivariate analysis such as hierarchical and stepwise multiple regression will be used to factor out confounding patient data (i.e. BMI, weight etc.) and to investigate the veracity and accuracy of using age related mitochondrial changes in PD patient leukocytes as a predictor of predisposition for early development of PD or for increasing changes in the progression of existing PD symptomatology.