Related Experiment Video
Updated: Aug 15, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Time series analysis in endocrinology
1Diabetes Research Laboratories, Radcliffe Infirmary, Oxford, UK.
Abstract:
Many hormones are secreted in pulses or oscillations. If deductions about amplitude or frequency of these oscillations are to be made, then the oscillatory attributes must be analysed. The method of doing this is known as time series analysis. Samples for such analysis need to be properly spaced, taken for a sufficient period of time and de-trended. The techniques of pulse counting, autocorrelation or Fourier transformation may then be applied to demonstrate dominant features in groups of subjects. The advantages and disadvantages of these methods are discussed.
Related Concept Videos
Endocrine Signaling
Hormonal Regulation
Analysis of Population Pharmacokinetic Data
Mechanistic Models: Compartment Models in Individual and Population Analysis
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time until a...
Cancer Survival Analysis

