This website supplements Design and Analysis of Time Series Experiments (Oxford University Press, 2017) and Interrupted Time Series Analysis (Oxford University Press, 2019). While the website is under construction, contact the authors directly.
Bradley J. Bartos (bbartos@uci.edu)
Richard McCleary (mccleary@uci.edu)
David McDowall (dmcdowall@albany.edu)
"...this book is a compact, well-written excursion through contemporary statistical time series models and methods and a thorough exposition of the four classes of threats to validity of inferences from empirical applications thereof to analyses of intervention in the kinds of time series encountered in the social, behavioral, and biomedical sciences. Its contents and didactic style will make it an excellent text for use in courses in these disciplines for graduate and advanced undergraduate students. In addition, it is recommended to colleagues in these disciplines who want a review of these methods for study, reference, and citation."
Land, K. C. (2019). Book review: McCleary, R., McDowall, D., & Bartos, B. J. (2017). Design and Analysis of Time Series Experiments. Oxford University Press. Journal of Experimental Criminology, 15(4), 719–723.
Link: https://link.springer.com/article/10.1007%2Fs11292-019-09386-x
(Oxford University Press, 2019)
Download example datasets from Design and Analysis of Time Series Experiments. Data organized by chapter.
Download time-series data from Interrupted Time Series Analysis (forthcoming, Oxford University Press). Data organized by chapter.
DATSE_ITSA EXAMPLE SAS CODE (zip)
DownloadExample sas code for Australian Traffic Fatalities ARIMA model. Model is described in both DATSE and ITSA.
Example sas code for Directory Assistance Calls for service ARIMA model. Model is presented in Chapter 5 of DATSE.
Example SAS code for performing a Box-Cox Transformation, identifying the ideal lambda value, and producing the transformed series. All three examples are in both DATSE and ITSA.
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