Least Squares and Robust Rank-Based Double Bootstrap Analyses for Time-Series Intervention Designs

Time-series intervention designs that include two or more phases have been widely discussed in the healthcare literature for many years. A convenient model for the analysis of these designs has a linear model part (to measure changes in level and trend) plus a second part that measures the random er...

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Veröffentlicht in:	Evaluation & the health professions 2022-12, Vol.45 (4), p.362-376
Hauptverfasser:	Zhang, Shaofeng, McKean, Joseph W., Huitema, Bradley E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Generalized linear models Health care Humans Intervention Least Squares Statistics Least-Squares Analysis Linear analysis Monte Carlo Method Monte Carlo Methods Normality Quasi-experimental methods Research Design Time Factors Time series
Online-Zugang:	Volltext
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