相关实验视频

Updated: May 3, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

20.1K

在结构化关联矩阵中采样参数的新算法,用于估计肌肉的最佳组合,以量化杜氏肌肉发育不良症的进展.

Michael K Kim1, Michael J Daniels1, William D Rooney2

  • 1Department of Statistics, University of Florida, Gainesville, Florida, USA.

Statistics in medicine
|September 8, 2025
PubMed
概括

本研究确定了使用新型统计模型和马尔科夫链蒙特卡洛算法监测杜氏肌肉发育不良 (DMD) 进展的最佳生物标志物组合. 下肢和双臂肌在不同疾病阶段表现出明显的反应能力.

关键词:
生物标志物 生物标志物多变量纵向数据多变量纵向数据积极的确定的矩阵.结构化的相关性矩阵.

更多相关视频

A Simple and Low-cost Assay for Measuring Ambulation in Mouse Models of Muscular Dystrophy05:54

A Simple and Low-cost Assay for Measuring Ambulation in Mouse Models of Muscular Dystrophy

Published on: December 29, 2017

10.5K
Measurements of Motor Function and Other Clinical Outcome Parameters in Ambulant Children with Duchenne Muscular Dystrophy09:18

Measurements of Motor Function and Other Clinical Outcome Parameters in Ambulant Children with Duchenne Muscular Dystrophy

Published on: January 12, 2019

10.8K

相关概念视频

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
438