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Interrupted Time Series Analysis
David McDowallRichard McClearyBradley J. Bartos
出版Oxford University Press, 2019-09-16
主題Medical / Instruments & SuppliesReference / ResearchPolitical Science / Political Process / GeneralBusiness & Economics / Economics / GeneralSocial Science / ResearchPsychology / Research & MethodologyEducation / Philosophy, Theory & Social AspectsSocial Science / Criminology
ISBN01909439639780190943967
URLhttp://books.google.com.hk/books?id=bACvDwAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋Interrupted Time Series Analysis develops a comprehensive set of models and methods for drawing causal inferences from time series. It provides example analyses of social, behavioral, and biomedical time series to illustrate a general strategy for building AutoRegressive Integrated Moving Average (ARIMA) impact models. Additionally, the book supplements the classic Box-Jenkins-Tiao model-building strategy with recent auxiliary tests for transformation, differencing, and model selection. Not only does the text discuss new developments, including the prospects for widespread adoption of Bayesian hypothesis testing and synthetic control group designs, but it makes optimal use of graphical illustrations in its examples. With forty completed example analyses that demonstrate the implications of model properties, Interrupted Time Series Analysis will be a key inter-disciplinary text in classrooms, workshops, and short-courses for researchers familiar with time series data or cross-sectional regression analysis but limited background in the structure of time series processes and experiments.