25 We used regression, firstly, to predict treatment received from randomised group and pre-randomisation covariates and, secondly, to predict the outcome variable from treatment received, the residuals from the first stage and the same covariates.
Most of the studies reviewed did not use a randomised group design to control for possible confounding factors such as placebo and practice effects.
Each study adopted a randomised group design to focus on the possible influence on patient state anxiety of the dentist becoming aware of their patients' dental anxiety from the self-reports of the Modified Dental Anxiety Scale (MDAS).
Linear regression will assess relationships between randomised group and post-transfusion physiologic measures.
Analyses were performed on all patients in their original randomised group (respecting the intention-to-treat principle).
Each concordance line formed a record for which the information about consultation ID, the randomised group, oncologist, age, sex, education, occupation and type of primary cancer was provided as separate variables.
Table 1 shows the demographics of volunteers per randomised group.
Adjusted analyses were performed using linear regression models of outcome on randomised group, adjusting for baseline values of the respective outcome measure, AUDIT-C, age, education, self-efficacy, log (TOT-AL+1), EQ5D and gender.
*Regardless of original randomised group assignment.
10 Whether the randomised group should be compared with the non-randomised group is therefore debatable.
Analysis was by randomised group and also by presenting severity.
