title: Repeated measures models for prescribing change.
abstract: Linear mixed models are used to detect a change, if any, in prescribing habits at the primary care practice level due to an educational intervention given repeated measures data before and after intervention and a control group. Inferences are corrected for general practice size, fundholding status and baseline prescribing. The correlation structure is discussed and the results for multilevel modelling using MLwiN and NLME version 3.0 are compared.
authors.affiliation: Centre for Medical Statistics, Keele University, Stoke on Trent, ST5 5BG, U.K.
authors.forename: Jabulani S
authors.initials: JS
authors.lastname: Sithole
authors.forename: Peter W
authors.initials: PW
authors.lastname: Jones
mesh_terms: D000894:Anti-Inflammatory Agents, Non-Steroidal / Q000008:administration & dosage; D006801:Humans; D007052:Ibuprofen / Q000008:administration & dosage; D016014:Linear Models; D010821:Physicians, Family / Q000193:education*; D010818:Practice Patterns, Physicians'; D006113:United Kingdom
chemical_list: D000894:Anti-Inflammatory Agents, Non-Steroidal; D007052:Ibuprofen