Browsing Depressive Disorders by Author "Tomlinson, Anneka"
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Development and validation of a meta-learner for combining statistical and machine learning prediction models in individuals with depression
De Crescenzo, Franco; Ostinelli, Edoardo; Tomlinson, Anneka; Cipriani, Andrea (2022-05)The debate of whether machine learning models offer advantages over standard statistical methods when making predictions is ongoing. We discuss the use of a meta-learner model combining both approaches as an alternative. ... -
Important adverse events to be evaluated in antidepressant trials and meta-analyses in depression: a large international preference study including patients and healthcare professionals
Tomlinson, Anneka; Henshall, Catherine; Cipriani, Andrea (2022-07)Background: Non-serious adverse events (NSAEs) should be captured and reported because they can have a significant negative impact on patients and treatment adherence. However, the reporting of NSAEs in randomised controlled ... -
Predicting treatment effects in unipolar depression: A meta-review
Tomlinson, Anneka; Cipriani, Andrea (2020-08)There is increasing interest in clinical prediction models in psychiatry, which focus on developing multivariate algorithms to guide personalized diagnostic or management decisions. The main target of these models is the ...