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Secondly, we implemented several design features to mitigate biases: we defined a causal framework, used direct acyclic graphs to guide the selection of confounders, specified new user, active comparator target trials, and used inverse probability weighting to adjust for a comprehensive set of covariates from multiple data domains
DSIP protocols are highly individualized based on sleep quality issues, underlying causes, and wellness goals
Inhibition of CXCR2 decreased tumor growth and angiogenesis in a genetic murine model of pancreatic ductal adenocarcinoma [195]
doi: 10.3390/ijms17091534 201 ZuoY
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