12,000

We have over 12,000 students, from over 100 countries, within one of the safest campuses in the UK

93%

93% of Lancaster students go into work or further study within six months of graduating

Home > Research > Publications & Outputs > Trials in primary care
View graph of relations

« Back

Trials in primary care: statistical issues in the design, conduct and evaluation of complex interventions

Research output: Contribution to journalJournal article

Published

  • G A Lancaster
  • M J Campbell
  • S Eldridge
  • A Farrin
  • M Marchant
  • S Muller
  • R Perera
  • T J Peters
  • A T Prevost
  • G Rait
Journal publication date08/2010
JournalStatistical Methods in Medical Research
Journal number4
Volume19
Number of pages29
Pages349-377
Original languageEnglish

Abstract

Trials carried out in primary care typically involve complex interventions that require considerable planning if they are to be implemented successfully. The role of the statistician in promoting both robust study design and appropriate statistical analysis is an important contribution to a multi-disciplinary primary care research group. Issues in the design of complex interventions have been addressed in the Medical Research Council's new guidance document and over the past 7 years by the Royal Statistical Society's Primary Health Care Study Group. With the aim of raising the profile of statistics and building research capability in this area, particularly with respect to methodological issues, the study group meetings have covered a wide range of topics that have been of interest to statisticians and non-statisticians alike. The aim of this article is to provide an overview of the statistical issues that have arisen over the years related to the design and evaluation of trials in primary care, to provide useful examples and references for further study and ultimately to promote good practice in the conduct of complex interventions carried out in primary care and other health care settings. Throughout we have given particular emphasis to statistical issues related to the design of cluster randomised trials.