Prospects of Statistical and Biostatistical Techniques in the Study of Diagnosis, Survival Analysis, and Disease Progression of Alzheimer’s Disease

Vishal Deo
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Vishal Deo: Department of Statistics, University of Delhi, India

Biostatistics and Biometrics Open Access Journal, 2018, vol. 7, issue 3, 41-46

Abstract: Finding potent and clinically standardized biomarkers is of utmost importance for early detection of any disease which further helps in developing prevention and cure techniques. Use of statistical techniques becomes inevitable to validate the predictive power of the biomarkers and also to ensure the reproducibility of results. Identification of statistically significant covariates and competing risks is another important aspect of any biostatistical study for understanding disease progression. This paper attempts to review some useful statistical and biostatistical techniques being utilized in the study of dementia, Alzheimer’s disease (AD) in particular, and also proposes some potentially reliable techniques which can be helpful in critically examining the complexities involved in brain activities of AD patients and its association with other pathological and physical changes in the patients. This paper concludes by proposing an objective-wise methodological structure for biostatistical analyses of AD.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:7:y:2018:i:3:p:41-46

DOI: 10.19080/BBOAJ.2018.07.555712

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