Measuring the correlation between time series of hormonal data.
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.
D000818:Animals; D004967:Estrogens / Q000502:physiology*; D005246:Feedback; D005260:Female; D007987:Gonadotropin-Releasing Hormone / Q000378:metabolism*; D007031:Hypothalamus / Q000378:metabolism*; D008954:Models, Biological; D011374:Progesterone / Q000502:physiology*; D051381:Rats; D012044:Regression Analysis; D013223:Statistics as Topic; D013997:Time Factors
D004967:Estrogens; D007987:Gonadotropin-Releasing Hormone; D011374:Progesterone