Most epidemiology textbooks that discuss models are vague on details of model selection.
This lack of detail may be understandable since selection should be strongly influenced by …

OBJECTIVE: The most common way to evaluate the effect of an intervention is to compare
the intervention and nonintervention groups regarding the change in the outcome variable …

Background Results from apparently conclusive meta-analyses may be false. A limited
number of events from a few small trials and the associated random error may be under …

Interrupted time series designs are frequently employed to evaluate program impact.
Analysis strategies to determine if shifts have occurred are not well known. The case where …

This paper presents a summary and a brief theoretical introduction to time series ARIMA
modeling of single subject data. Time series, a statistical technique that may be appropriate …

Background Platform trials can evaluate the efficacy of several experimental treatments
compared to a control. The number of experimental treatments is not fixed, as arms may be …

This paper uses a question‐and‐answer format to present the technical aspects of
interrupted time‐series analysis (ITSA). Topics include the potential relevance of ITSA to …

The book assumes no training in statistics beyond intermediate statistical methods.
Following an overview of time series analysis, the basic concepts of univariate Box-Jenkins …

This paper gives an overview of time series ideas and methods used in public health and
biomedical research. A time series is a sequence of observations made over time. Examples …

Greater use of interrupted time-series experiments is advocated for community intervention
research. Time-series designs enable the development of knowledge about the effects of …