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We have stratified the region according to the potential impact on bats of future wind farm development, highlighting those areas in the top 1%, 5%and10%0% of risk.
In addition, we have stratified the analysis to account for CART start status (i.e., CART≤3 months or CART>3 months) because this factor summarizes a number of patient and disease-related issues that may not be captured by the other factors considered above.
We have stratified our analyses by different level of hospitals.
We have stratified our cohort based on PTEN mutation status.
Therefore in this paper, we have stratified all analyses by facility type.
Our study is unique, however, in that we have stratified CAP episode-level cost data by age and risk stratum.
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Moreover, we had stratified enrolled RCTs according to different PCT-guided strategies, in order to eliminate the potential confounding factors caused by different strategies.
In retrospect, we would have been better if we had stratified by postinfectious onset.
It can be argued that our stratification into the low, moderate and high UV regions would have been more accurate in terms of ability of the UV light to stimulate vitamin D synthesis, if we had stratified the country using the vitamin D action spectrum weighted UV rather than the UV index.
Ideally, we should have stratified different age groups too.
We also have stratified the included studies through other subgroup analyses like anatomic classification, pathologically Lauren's classification, H. pylori infection status, sample size, and quality appraisal scores.
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