Addressing the issues that arise in analysing multicentre cost data, with application to a multinational study.
Differences in the mean, spread and skewness of cost data collected from different countries present problems for analysis and interpretation. Here we develop generalised linear multilevel models to estimate the effects of patient and national characteristics on costs. Using gamma distributions and multiplicative effects for patient characteristics fitted the data better than models which assumed normal distributions or estimated additive effects. A multilevel gamma model is employed to allow for heterogeneity in the effects of patient case-mix across centres. Analysis of multinational cost data must recognise differences in mean, spread and skewness across centres, as well as the data's hierarchical structure.
MRC Biostatistics Unit, Institute of Public Health, Cambridge, UK. simon.thompson@mrc-bsu.cam.ac.uk
Simon G
SG
Thompson
Richard M
RM
Nixon
Richard
R
Grieve
D003365:Costs and Cost Analysis / Q000379:methods; D038622:Internationality; D015233:Models, Statistical; D015337:Multicenter Studies as Topic / Q000191:economics*; D006113:United Kingdom