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Strategy for power calculation for interactions: application to a trial of interventions to improve uptake of bowel cancer screening.

Brentnall, AR; Duffy, SW; Baio, G; Raine, R; (2012) Strategy for power calculation for interactions: application to a trial of interventions to improve uptake of bowel cancer screening. Contemp Clin Trials , 33 (1) 213 - 217. 10.1016/j.cct.2011.09.021.

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Abstract

Poorer postcodes within 5 regions in England have a lower response to bowel-cancer screening invitations than do richer postcodes. An extension of the sample-size formula for two proportions is used to determine that needed to detect an increase in response rate that varies by deprivation quintile. The proportions plugged into the formula are weighted averages based on the relationship between response and deprivation; the response rate is adjusted to be constant across deprivation quintiles. From a baseline period between October 2006 and January 2009, detection of an absolute or relative increase of at least 1,2,3,4 and 5% in response rate is required for the richest to poorest quintiles respectively because the interventions were chosen as those most likely to have an effect in the lower socioeconomic groups. A computer simulation experiment shows that the approach is more conservative than a likelihood-ratio calculation, and it appears sensible when compared with repeated application of a two-sample calculation at each quintile.

Type:Article
Title:Strategy for power calculation for interactions: application to a trial of interventions to improve uptake of bowel cancer screening.
Location:United States
DOI:10.1016/j.cct.2011.09.021
Language:English
Keywords:Computer Simulation, Early Detection of Cancer, England, Humans, Intestinal Neoplasms, Mass Screening, Morbidity, Practice Guidelines as Topic, Reproducibility of Results, Retrospective Studies, Socioeconomic Factors
UCL classification:UCL > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health Care > Epidemiology and Public Health
UCL > School of BEAMS > Faculty of Maths and Physical Sciences > Statistical Science

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