A hidden Markov model for population-level cervical cancer screening data

DOI10.1002/sim.8681zbMATH Open1546.62706MaRDI QIDQ6629812

Jan F. Nygård, Braden C. Soper, Mari Nygård, Rui Meng, Ghaleb Abdulla

Publication date: 30 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

hidden Markov modelcancer screeningcervical cancerprecision medicinepersonalized screeningreal-world evidencepopulation-level data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Modeling bladder cancer using a Markov process with multiple absorbing states
• A Markov model for analyzing the evolution of bladder carcinoma
• A New Scaling and Squaring Algorithm for the Matrix Exponential
• A Markov Model for Analysing Cancer Markers and Disease States in Survival Studies
• A Limited Memory Algorithm for Bound Constrained Optimization
• A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains

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