Results 301 to 310 of about 726,838 (342)
Some of the next articles are maybe not open access.
Robust testing of level changes in interrupted time-series analysis
Journal of Statistical Computation and Simulation, 2006Ramsey and Ramsey [Ramsey, P.P. and Ramsey, P.H., 2003, Comparing lease-squares lines for testing level changes in interrupted time-series analysis. Journal of Statistical Computation and Simulation, 73, 31–44.] have shown that a composite procedure (CP) can provide accurate tests of level changes in interrupted time-series analysis.
Patricia P. Ramsey, Philip H. Ramsey
openaire +1 more source
Interrupted Time Series Analysis Techniques in Pharmacovigilance
2013This thesis considers an approach to evaluate the effectiveness of risk communications for prescription drugs by performing interrupted time series analysis of prescription drug volumes prior to and after the risk communication date. The paper presents methods for detecting change in the presence of autocorrelation and techniques to reduce bias in ...
openaire +2 more sources
Interrupted time-series analysis with brief single-subject data.
Journal of Consulting and Clinical Psychology, 1993Assessing change with short time-series data is difficult because visual inference is unreliable with such data, and current statistical procedures cannot control Type I error because they underestimate positive autocorrelation. This article describes these problems and shows how they can be solved with a new interrupted time-series analysis procedure (
openaire +2 more sources
Crisis intervention and the prevention of institutionalization: An interrupted time series analysis
American Journal of Community Psychology, 1978In the context of the community mental health movement in Illinois, the evolution and development of a crisis intervention program aimed at avoiding state hospitalization and bringing more appropriate and efficacious resources to bear on the difficulties of the individual and/or family is described.
J A, Delaney, E, Seidman, G, Willis
openaire +2 more sources
Statistical methods for meta-analysis of interrupted time series studies
2023An interrupted time series study is a type of non-randomised study that allows researchers to quantify the immediate and long-term impact of interruptions like public health policies. For example, the impact of a mass media campaign on HIV testing rates.
openaire +1 more source
A Comparison of Alternative Approaches to the Analysis of Interrupted Time-Series
Multivariate Behavioral Research, 1985Computer generated data representative of 26 ARIMA models was used to compare the results of interrupted time-series analysis using: (1) the known model identification, (2) an assumed (1, 0, 0) model, and (3) an assumed (3, 0, 0) model as an approximation to the General Transformation approach.
J W, Harrop, W F, Velicer
openaire +2 more sources
Use of Interrupted Time Series Analysis in Evaluating Health Care Quality Improvements
Academic Pediatrics, 2013Interrupted time series (ITS) analysis is arguably the strongest quasi-experimental research design. ITS is particularly useful when a randomized trial is infeasible or unethical. The approach usually involves constructing a time series of population-level rates for a particular quality improvement focus (eg, rates of attention-deficit/hyperactivity ...
Robert B, Penfold, Fang, Zhang
openaire +2 more sources
Improving the Rate of Preschool Vision Screening: An Interrupted Time-Series Analysis
Pediatrics, 2011OBJECTIVE:To implement a 6-month quality improvement project in 13 clinics in North Carolina to improve vision screening rates for children 3 through 5 years of age.METHODS:We trained each clinic in approaches to vision screening and selected champions to provide feedback based on a 3-month baseline chart audit of up to 90 charts in each clinic and ...
Alex R, Kemper +4 more
openaire +2 more sources
Evaluating pharmaceutical policy impacts using interrupted time series analysis
2012Determining the impacts of policy on health outcomes is important for policy makers, clinicians and consumers. Interrupted time series analysis is a powerful quasi experimental method for quantifying change in an outcome after policy implementation. We illustrate the use of interrupted time series analysis for policy evaluation with an Australian case ...
openaire +2 more sources
[Design and analysis of two groups interrupt time series].
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi, 2019Interrupted time-series (ITS) is a quasi-experimental design which evaluates the effectiveness of an intervention based on time-series outcome variables. Compared with the single group of ITS, the two groups of ITS can better control the influence of pre-interventional confounding factors and evaluate the effectiveness of the intervention.
Y, Li +5 more
openaire +1 more source