Interrupted Time Series Analysis [Paperback]

Description: 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.

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End Time: 2025-01-28T13:42:53.000Z

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EAN: 9780190943950

UPC: 9780190943950

ISBN: 9780190943950

MPN: N/A

Item Length: 23.1 cm

Number of Pages: 208 Pages

Language: English

Publication Name: Interrupted Time Series Analysis

Publisher: Oxford University Press

Publication Year: 2019

Subject: Medicine, Economics, Classical Studies

Item Height: 234 mm

Item Weight: 290 g

Type: Textbook

Author: David Mcdowall, Richard Mccleary, Bradley J. Bartos

Subject Area: Social Research, Experimental Psychology, Political Science

Item Width: 156 mm

Format: Paperback