Evaluating Clinical and Public Health Interventions A Practical Guide to Study Design and Statistics
Book contents
- Frontmatter
- Contents
- Preface
- 1 Introduction
- 2 Interventions
- 3 Evaluating an intervention
- 4 Randomized designs
- 5 Nonrandomized studies
- 6 Statistical analysis of intervention trials
- 7 Methods for adjusting for baseline differences between treatment groups
- 8 Time series analysis
- 9 Special topics
- 10 Research to action
- 11 Conclusion
- Index
- References
8 - Time series analysis
Published online by Cambridge University Press: 10 May 2010
Book contents
- Frontmatter
- Contents
- Preface
- 1 Introduction
- 2 Interventions
- 3 Evaluating an intervention
- 4 Randomized designs
- 5 Nonrandomized studies
- 6 Statistical analysis of intervention trials
- 7 Methods for adjusting for baseline differences between treatment groups
- 8 Time series analysis
- 9 Special topics
- 10 Research to action
- 11 Conclusion
- Index
- References
- Type
- Chapter
- Information
- Evaluating Clinical and Public Health InterventionsA Practical Guide to Study Design and Statistics, pp. 128 - 134Publisher: Cambridge University PressPrint publication year: 2010
References
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, , , et al. “Simplifying consent for HIV testing is associated with an increase in HIV testing and case detection in highest risk groups, San Francisco January 2003–2007.” PloS One 3 (2008): e2591CrossRefGoogle Scholar
, , , and “Segmented regression analysis of interrupted time series studies in medication use research.” J. Clin. Pharm. Ther. 27 (2000): 299–309CrossRefGoogle Scholar
, , , et al. “Interrupted times-series analysis and its application to behavioral data.” J. Applied Behav. Anal. 13 (1980): 543–59CrossRefGoogle Scholar
, , and Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Boston: Houghton Mifflin, 2002: p. 174Google Scholar
“How interrupted time series analysis can evaluate guideline implementation.” Pharm. J. 275 (2005): 344–7Google Scholar
, , , et al. “Interrupted times-series analysis and its application to behavioral data.” J. Applied Behav. Anal. 13 (1980): 543–59CrossRefGoogle Scholar
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