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Updated: Jan 17, 2026

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对离散混合Poisson-Erlang分布的估计与对医疗数据的应用

Mohamed Ahmed Mosilhy1, Sadiah M A Aljeddani2, Mahmoud H Abu-Moussa1,3

  • 1Department of Mathematics, Faculty of Science, Cairo University, Giza, Egypt.

PloS one
|September 15, 2025
PubMed
概括

本研究介绍了离散混合波桑-埃兰格分布 (DMPED) 用于分析倾斜计数数据. DMPED在模拟复杂的生物数据方面表现出卓越的性能,特别是在癌症研究应用中.

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Poisson Probability Distribution

A Poisson probability distribution is a discrete probability distribution. It gives the probability of a number of events occurring in a fixed interval of time or space if these events happen at a known average rate and independently of the time since the last event. For example, a book editor might be interested in the number of words spelled incorrectly in a particular book. It might be that, on average, there are five words spelled incorrectly in 100 pages. The interval is 100 pages.
The...
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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Probability Distributions

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The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
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