A simplified method of time-series analysis (Young's C statistic) which is appropriate for assessing trends in clinical/applied data is described. The statistic is easily programed into Hewlett Packard HP41CV calculator whose non-volatile memory, magnetic card reader, and printer together provide a convenient and portable method of analysing time-series data in clinical situations. Other programs should be easily accomplished.
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References
1.
BoxG. E. P.JenkinsG. M.Time series analysis: Forecasting and control. San Francisco: Holden-Day, 1970.
2.
BoxG. E. P.TiaoG. C.A change in level of non-stationary time series. Biometrika, 1965, 52, 181–192.
3.
BrownR. L.TIMCAI: An interactive program to assist in the identification of univariate nonseasonal non-mixed ARIMA time series. Behavior Research Methods & Instrumentation, 1983, 15, 101–102.
4.
HartmannD. P.GottmanJ. M.JonesR. R.GardnerW.KazdinA. E.VaughtR. S.Interrupted time series analysis and its application to behavioral data. Journal of Applied Behavior Analysis, 1980, 13, 543–559.
5.
TryonW. W.A simplified time series analysis for evaluating treatment interventions. Journal of Applied Behavior Analysis, 1982, 15, 423–429.
6.
Von NeumannJ.Distribution of the ratio of the mean square successive difference to the variance. Annals of Mathematical Statistics, 1941, 12, 367–395.
7.
YoungL. C.On randomness in ordered sequences. Annals of Mathematical Statistics, 1941, 12, 293–300.