Statistical Analysis of Temporal Data With Many Observations: Issues For Behavioral Medicine Data
Statistical Analysis of Temporal Data With Many Observations: Issues For Behavioral Medicine Data
复制标题
具有许多观察结果的时态数据的统计分析：行为医学数据的问题
DOI：
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发表时间：
1993
影响因子：
3.8
通讯作者：
C. K. Wan
中科院分区：
文献类型：
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作者：
J. Jaccard;C. K. Wan
讨论了对个体较少但重复观察较多的行为医学数据进行分析的方法。常见分析策略的困难被注意到，并推荐使用横截面集合时间序列设计的计量经济学的应用。此外，还讨论了由于异常值、数据缺失、测量误差和聚合偏差造成的其他复杂性。
Approaches to the analysis of behavioral medicine data with few individuals but many repeated observations are discussed. Difficulties with common analytic strategies are noted and applications from econometrics using cross-sectional pooled time series designs are recommended. Additional complications due to outliers, missing data, measurement error, and aggregation bias are discussed.