Statistical analyses were performed with SPSS, version 20.0 for the Macintosh.
Linear mixed models (with covariates for age, sex, and level of education) were used to test the following effects: (1) we tested whether baseline scores differed between preclinical AD stage-1 and stage-2 and between subjects with prodromal AD stage-1 and stage-2 (i.e., differences in intercepts); (2) changes over time were assessed by testing whether slopes differed from 0 and whether they differed between subjects in preclinical AD stage-1 and stage-2 and between subjects in prodromal AD stage-1 and stage-2. For slope analyses, we used an unstructured covariance matrix, assuming a random intercept and fixed slope, and used follow-up time as repeated measure. We assumed a linear change in time (time coded with a quadratic term was not statistically significant). Separate analyses were performed for each criterion used to classify predementia AD. Difference with a P-value <.05 were considered to be statistically significant. Sample size was estimated for a hypothetical 3-year randomized-controlled trial with two arms, showing an expected treatment effect of 25% reduction of decline in outcome measures with a power of 80%, a two-sided alpha of 5%, and a 10% annual dropout rate using the following formula [25]:
with Δ as the difference in mean rate of decline in treatment versus control, σ2e as the residual error variance of the mixed effects model, α as the type I error rate of a two-sided test and 1−β as the power, ti as the times i at which measures were made, and t mean as the average follow-up time. The total sample size n required for a trial was then obtained by multiplying this estimation by 2 and adjusted for an annual dropout rate of 10% over the course of 3 years (n/arm* 2 * 1.113). Finally, we calculated the numbers needed to be screened, which is the sample size needed in a specific subgroup divided by the prevalence of this group in subjects with the same cognitive status. All analyses were stratified for baseline diagnosis.
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