Estimating Intervention Effects in a Complex Multi-Level Smoking Prevention Study

Milena Falcaro, Andrew C. Povey, Anne Fielder, Elizabeth Nahit and Andrew Pickles
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Milena Falcaro: Biostatistics Group, School of Community-Based Medicine, University of Manchester, UK
Andrew C. Povey: Occupational and Environmental Health Research Group, University of Manchester, UK
Anne Fielder: Occupational and Environmental Health Research Group, University of Manchester, UK
Elizabeth Nahit: Occupational and Environmental Health Research Group, University of Manchester, UK
Andrew Pickles: Biostatistics Group, School of Community-Based Medicine, University of Manchester, UK

IJERPH, 2009, vol. 6, issue 2, 1-15

Abstract: This paper illustrates how to estimate cumulative and non-cumulative treatment effects in a complex school-based smoking intervention study. The Instrumental Variable method is used to tackle non-compliance and measurement error for a range of treatment exposure measures (binary, ordinal and continuous) in the presence of clustering and drop-out. The results are compared to more routine analyses. The empirical findings from this study provide little encouragement for believing that poorly resourced school-based interventions can bring about substantial long-lasting reductions in smoking behaviour but that novel components such as a computer game might have some short-term effect.

Keywords: Instrumental variables; multi-level intervention study; non-compliance; treatment effect (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2009
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