New statistical method could improve how doctors prescribe antidepressants

Researchers have developed a more sophisticated way to analyze the right doses of antidepressant medications by examining how different drugs perform at various doses. The finding matters because prescribing errors and suboptimal dosing cost healthcare systems billions annually—better dose guidance could improve patient outcomes and reduce hospitalizations.

Originaltitel: A dose-effect network meta-analysis model with application in antidepressants using restricted cubic splines