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Test domain cognitive skills Our main analysis uses numeracy test scores to proxy for individuals' cognitive skills.
In order to avoid underestimating the LADA population, the main analysis uses 45 as the age of diagnosis cut off, which represents 1.1 million T1D patients.
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In our main analysis using fixed-effect models and in the sensitivity analysis using panel data we use a balanced panel of only those who answered questionnaires from all three years.
Table 4 presents the differences between the results from the main analysis, using universal X-bar charts on non-imputed data from the short run-in period cohort, and each of the secondary analyses over non-imputed data, except for run sum charts results which use a different procedure to determine rule activations.
Thirdly, we repeated our main analysis using robust standard errors to account for any possible clustering within conurbations.
However, in the case of BMI the main analysis used a grouping of data above and below the median.
To assess effects of missing data, we repeated the main analysis using subjects with no missing data.
This main analysis used the means of residuals for individuals in a collapsed dataset (one record per child).
The main analysis used a single 2 x 2 table or set of Se and Sp estimates for each study.
Third, we repeated our main analysis using robust standard errors to allow for any possible clustering by conurbation.
We repeated our main analysis using unconditional logistic regression and found the results to be essentially the same (Appendix).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com