I don't understand the differences between mixed data, panel data or longitudinal data. Recently, I am studying the boost technique and learning the R packages GMMBoost: Likelihood-based Boosting for Generalized mixed models. This package is working with mixed data. I am not sure that this package is also useful for panel data.
我不明白混合数据，面板数据或纵向数据之间的差异。最近，我正在研究增强技术并学习R包GMMBoost：基于似然的Boosting for Generalized mixed models。此包正在处理混合数据。我不确定这个包对面板数据是否也有用。
1 个解决方案
#1
1
This is a popular question. Usually people in econometrics call repeated measures panel data, but people in biostatistics call it longitudinal data. The difference between the two can be, the observed time points for panel data may be fixed and common for all subjects (e.g. year 1, 2 and 3), but can be random (e.g. month 1 and 3 for subject 1, but month 2 and 5 for subject 2) for longitudinal data.
这是一个很受欢迎的问题。通常计量经济学中的人称重复测量面板数据，但生物统计学中的人称之为纵向数据。两者之间的差异可以是，面板数据的观察时间点可以是固定的并且对于所有受试者是共同的（例如，第1,2和3年），但是可以是随机的（例如，受试者1的月份1和3，但是第2个月）对于纵向数据，对象2）和5。
I have not heard about the term "mixed data", but "mixed model" refers to a model including fixed and random effects.
我没有听说过“混合数据”一词，但“混合模型”是指包含固定和随机效应的模型。
#1
1
This is a popular question. Usually people in econometrics call repeated measures panel data, but people in biostatistics call it longitudinal data. The difference between the two can be, the observed time points for panel data may be fixed and common for all subjects (e.g. year 1, 2 and 3), but can be random (e.g. month 1 and 3 for subject 1, but month 2 and 5 for subject 2) for longitudinal data.
这是一个很受欢迎的问题。通常计量经济学中的人称重复测量面板数据，但生物统计学中的人称之为纵向数据。两者之间的差异可以是，面板数据的观察时间点可以是固定的并且对于所有受试者是共同的（例如，第1,2和3年），但是可以是随机的（例如，受试者1的月份1和3，但是第2个月）对于纵向数据，对象2）和5。
I have not heard about the term "mixed data", but "mixed model" refers to a model including fixed and random effects.
我没有听说过“混合数据”一词，但“混合模型”是指包含固定和随机效应的模型。