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Evaluation of psychiatric interventions in an observational study: issues in design and analysis

Characteristics of randomized controlled clinical trials (RCTs) and observational studies of psychiatric intervention effectiveness are contrasted. Randomization drives treatment assignment in an RCT, whereas clinician and patient selection determine treatment in an observational study. Strengths an...

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Autor principal: Leon, Andrew C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Les Laboratoires Servier 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3181996/
https://www.ncbi.nlm.nih.gov/pubmed/21842616
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author Leon, Andrew C.
author_facet Leon, Andrew C.
author_sort Leon, Andrew C.
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description Characteristics of randomized controlled clinical trials (RCTs) and observational studies of psychiatric intervention effectiveness are contrasted. Randomization drives treatment assignment in an RCT, whereas clinician and patient selection determine treatment in an observational study. Strengths and weaknesses of randomized and observational designs are considered. The propensity adjustment, a statistical approach that allows for intervention evaluation in a nonrandomized observational study, is described here. The plausibility of propensity adjustment assumptions must be carefully evaluated. This data analytic strategy is illustrated with the longitudinal observational data from the National Institute of Mental Health Collaborative Depression Study, Evaluations presented here examine acute and maintenance antidepressant effectiveness and demonstrate effectiveness of the higher categorical doses.
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spelling pubmed-31819962011-10-27 Evaluation of psychiatric interventions in an observational study: issues in design and analysis Leon, Andrew C. Dialogues Clin Neurosci Clinical Research Characteristics of randomized controlled clinical trials (RCTs) and observational studies of psychiatric intervention effectiveness are contrasted. Randomization drives treatment assignment in an RCT, whereas clinician and patient selection determine treatment in an observational study. Strengths and weaknesses of randomized and observational designs are considered. The propensity adjustment, a statistical approach that allows for intervention evaluation in a nonrandomized observational study, is described here. The plausibility of propensity adjustment assumptions must be carefully evaluated. This data analytic strategy is illustrated with the longitudinal observational data from the National Institute of Mental Health Collaborative Depression Study, Evaluations presented here examine acute and maintenance antidepressant effectiveness and demonstrate effectiveness of the higher categorical doses. Les Laboratoires Servier 2011-06 /pmc/articles/PMC3181996/ /pubmed/21842616 Text en Copyright: © 2011 LLS http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc-nd/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Research
Leon, Andrew C.
Evaluation of psychiatric interventions in an observational study: issues in design and analysis
title Evaluation of psychiatric interventions in an observational study: issues in design and analysis
title_full Evaluation of psychiatric interventions in an observational study: issues in design and analysis
title_fullStr Evaluation of psychiatric interventions in an observational study: issues in design and analysis
title_full_unstemmed Evaluation of psychiatric interventions in an observational study: issues in design and analysis
title_short Evaluation of psychiatric interventions in an observational study: issues in design and analysis
title_sort evaluation of psychiatric interventions in an observational study: issues in design and analysis
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3181996/
https://www.ncbi.nlm.nih.gov/pubmed/21842616
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