Using intervention time series analyses to assess the effects of imperfectly identifiable natural events: a general method and example
<p>Abstract</p> <p>Background</p> <p>Intervention time series analysis (ITSA) is an important method for analysing the effect of sudden events on time series data. ITSA methods are quasi-experimental in nature and the validity of modelling with these methods depends upo...
Main Authors: | Day Carolyn, Hall Wayne, Degenhardt Louisa, Gilmour Stuart |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2006-04-01
|
Series: | BMC Medical Research Methodology |
Online Access: | http://www.biomedcentral.com/1471-2288/6/16 |
Similar Items
-
The impact of changes to heroin supply on blood-borne virus notifications and injecting related harms in New South Wales, Australia
by: Gilmour Stuart, et al.
Published: (2005-08-01) -
The "lessons" of the Australian "heroin shortage"
by: Gilmour Stuart, et al.
Published: (2006-05-01) -
Was an increase in cocaine use among injecting drug users in New South Wales, Australia, accompanied by an increase in violent crime?
by: Conroy Elizabeth, et al.
Published: (2005-04-01) -
Identification and quantification of change in Australian illicit drug markets
by: Degenhardt Louisa, et al.
Published: (2006-08-01) -
Chapter Dealing with Imperfection Sensitivity of Composite Structures Prone to Buckling
by: Degenhardt, Richard
Published: (2012)