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Due to data availability limitations, I perform the main analysis using the S&P 500 for the years 2007-2012 and measure future firm performance as return on assets (ROA) and abnormal stock returns (BHAR) up to three years in the future.
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.
To assess effects of missing data, we repeated the main analysis using subjects with no missing data.
Third, we repeated our main analysis using robust standard errors to allow for any possible clustering by conurbation.
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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.
However, in the case of BMI the main analysis used a grouping of data above and below the median.
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.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com