Reflection on Statistical Innovations in The Past 25 Years of Alzheimer’s Disease Research

Although the focus of this presentation is on clinical trials, statisticians have and will need to continue contributing to all facets of drug development, including methods to help identify better drug candidates, AI and machine learning applications, risk prediction models, new diagnostics, and fluid and digital biomarker development and validation for surrogacy. With recently approved drugs, optimized designs for clinical trials of combination treatments will be needed.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70859_100008
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
0.00
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article

Reflection on Statistical Innovations in The Past 25 Years of Alzheimer’s Disease Research

Suzanne Hendrix, Craig Mallinckrodt, Kent Hendrix, Samuel P. Dickson
Alzheimer s & Dementia
Statistical Methods in Clinical Trials
article

Reflection on Statistical Innovations in The Past 25 Years of Alzheimer’s Disease Research

Suzanne Hendrix, Craig Mallinckrodt, Kent Hendrix, Samuel P. Dickson
article en

Abstract

Although the focus of this presentation is on clinical trials, statisticians have and will need to continue contributing to all facets of drug development, including methods to help identify better drug candidates, AI and machine learning applications, risk prediction models, new diagnostics, and fluid and digital biomarker development and validation for surrogacy. With recently approved drugs, optimized designs for clinical trials of combination treatments will be needed.

Alzheimer s & DementiaVol. 21(S5)
TetraLogic Pharmaceuticals (United States) (US)
Openalex Percentile: Top 23%
Statistical Methods in Clinical Trials
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