Statistical approaches using longitudinal biomarkers for disease early detection: A comparison of methodologies-Reference-Cited by-同舟云学术

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Statistical approaches using longitudinal biomarkers for disease early detection: A comparison of methodologies

Published:2020-09-16 Issue:29 Volume:39 Page:4405-4420
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Han Yongli¹^ORCID,Albert Paul S.¹^ORCID,Berg Christine D.²,Wentzensen Nicolas³,Katki Hormuzd A.¹^ORCID,Liu Danping¹^ORCID

Affiliation:

1. Biostatistics Branch, Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda Maryland USA

2. Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda Maryland USA

3. Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda Maryland USA

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8731

Reference33 articles.

1. Longitudinal Screening Algorithm That Incorporates Change Over Time in CA125 Levels Identifies Ovarian Cancer Earlier Than a Single-Threshold Rule

2. Risk Algorithm Using Serial Biomarker Measurements Doubles the Number of Screen-Detected Cancers Compared With a Single-Threshold Rule in the United Kingdom Collaborative Trial of Ovarian Cancer Screening

3. A parametric empirical Bayes method for cancer screening using longitudinal observations of a biomarker

4. Calculation of the risk of ovarian cancer from serial CA‐125 values for preclinical detection in postmenopausal women;Skates SJ;J Clin Oncol,2003

5. Three Biomarkers Identified from Serum Proteomic Analysis for the Detection of Early Stage Ovarian Cancer

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