Summary
A method for the quantitative assessment of intervention effects in the absence of a conventional control group is presented. It is based on the assumption that confounding influences can be estimated from the group below the level where intervention started. The statistical problems which still await solving are discussed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Reference
Cook ThD, Campbell DT. Quasi-experimentation, design and analysis issues for field settings. Chicago. Rand Mc.Nally college publishing company. 1979. The regression-discontinuity design, page 137–142.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1981 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bonjer, F.H., van der Lee, A.P.M., Jonkers, A.H. (1981). How to Measure the Effectiveness of Intervention Trials. In: Grémy, F., Degoulet, P., Barber, B., Salamon, R. (eds) Medical Informatics Europe 81. Lecture Notes in Medical Informatics, vol 11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93169-7_96
Download citation
DOI: https://doi.org/10.1007/978-3-642-93169-7_96
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-10568-8
Online ISBN: 978-3-642-93169-7
eBook Packages: Springer Book Archive