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Measuring the correlation between time series of hormonal data
Author(s) -
Marks Ronald G.
Publication year - 1982
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780010108
Subject(s) - series (stratigraphy) , computer science , time series , correlation , statistics , data mining , regression , regression analysis , econometrics , machine learning , mathematics , biology , paleontology , geometry
Several biomedical experiments have as their objective the determination of a relationship between a pair of time series. Often, the investigator wishes to discover if one series has a lagged dependence on the other. The analysis required in such an experiment involves a three step approach utilizing both multiple regression and time series techniques. This paper presents an example of this type of experiment and describes the steps to be followed in analysing the results.