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Updated: Jan 14, 2026

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
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Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

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预测密集的纵向数据中断:扩大自相关数据的联合模型.

Fridtjof Petersen1, Laura F Bringmann2, Dimitris Rizopoulos3

  • 1Department of Psychometrics and Statistics, Faculty of Behavioural and Social Sciences, University of Groningen.

Psychological assessment
|October 23, 2025
PubMed
概括

在生态瞬间评估 (EMA) 研究中预测参与者退出至关重要. 我们的增强联合模型 (JM) 通过考虑时间数据动态,准确预测学风险,改善临床研究结果.

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Assumptions of Survival Analysis

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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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Parametric Survival Analysis: Weibull and Exponential Methods

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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