INTERRUPTED TIME SERIES DESIGNS IN HEALTH TECHNOLOGY ASSESSMENT: LESSONS FROM TWO SYSTEMATIC REVIEWS OF BEHAVIOR CHANGE STRATEGIES
By C. Ramsay, L. Matowe, R. Grilli, Jeremy M. Grimshaw, Ruth Thomas. International Journal of Technology Assessment in Health Care, 2003
657 citations recorded by the source corpus.
Subfields: Applied Psychology, General Health Professions
View Paper: https://www.semanticscholar.org/paper/448f51adf5b10669cdb68b962c8214b5b5d89f09
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In General Health Professions
Citations in the corpus
- The use of controls in interrupted time series studies of public health interventions. (2018, background): “ITS also controls for within-group characteristics that tend to change only slowly over time, secular changes, random fluctuations from one time point to the next and regression to the mean.(3, 4)”
- Conducting Interrupted Time-series Analysis for Single- and Multiple-group Comparisons (2015, background): “…in many areas of study, such as assessing the effects of community interventions (Biglan, Ary, and Wagenaar 2000; Gillings, Makuc, and Siegel 1981), public policy (Muller 2004), regulatory actions (Briesacher et al. 2013), and health technology assessment (Ramsay et al. 2003), to name but a few.”