The median (mean) percentage of missing data per SNP, including triallelic sites, was 1.06% (2.52%), whereas the percentage of heterozygous sites was 1.08% (2.52%).
The mean percentage of missing data among all 36 variables was 5%—the highest proportions were for physical activity (32%), total cholesterol (25%), high density lipoprotein cholesterol (22%), triglycerides (21%), creatinine (11%), microalbuminuria (10%), and BMI (9%).
In the training group the mean percentage of accurate data increased significantly after training for all NICE variables (+7%, 95% confidence interval 5%100%), for APACHE II variables (+6%, 95% confidence interval 4%99%) and for SAPS II variables (+4%, 95% confidence interval 1%6%%).
Studies that presented original data with either accuracy data (percentage of estimations within 10% of actual weight (PW10)) or bias and precision data (mean percentage error plus an appropriate indicator of variance), or both, were included in the meta-analysis.
The mean percentage deviation between the field temperature data and the temperature data from regression relations is estimated by Eq. 3.
The data represents the mean percentage of injected dose value with the standard deviation.
For each data set, the mean percentage bodyweight distribution through each limb over the most steady 5-s period was recorded.
Mean and mean percentage changes of log-transformed PCR data were expressed as geometric mean and the geometric mean percentage changes, respectively.
Although SAQ data are ordinal, the usual method also used in this study—is to calculate and present SAQ data as a mean percentage (SD).
In the full data set, the mean percentage survival (± SE) in each tank to the first census period (5 days) was 0.77 ± 0.02 (range 0.66-0.90).
