Classification of disease recurrence using transition likelihoods with expectation‐maximization algorithm-Reference-Cited by-同舟云学术

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Classification of disease recurrence using transition likelihoods with expectation‐maximization algorithm

Published:2022-07-31 Issue:23 Volume:41 Page:4697-4715
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Jiang Huijun¹^ORCID,Li Quefeng¹^ORCID,Lin Jessica T.²^ORCID,Lin Feng‐Chang¹^ORCID

Affiliation:

1. Department of Biostatistics University of North Carolina Chapel Hill North Carolina USA

2. Division of Infectious Disease, School of Medicine University of North Carolina Chapel Hill North Carolina USA

Funder

National Center for Advancing Translational Sciences

National Institute of Allergy and Infectious Diseases

National Institute on Aging

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9534

Reference32 articles.

1. Self‐study course: principles of epidemiology in public health practice;CDC;Morb Mortal Wkly Rep,2006

2. Understanding the Dose-Effect Relationship

3. Genetic Alterations during Colorectal-Tumor Development

4. Inferring Tree Models for Oncogenesis from Comparative Genome Hybridization Data

5. Distance-Based Reconstruction of Tree Models for Oncogenesis

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