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      Association between suicidal symptoms and repeat suicidal behaviour within a sample of hospital-treated suicide attempters.

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          Abstract

          Suicidal behaviour is the end result of the complex relation between many factors which are biological, psychological and environmental in nature. Network analysis is a novel method that may help us better understand the complex association between different factors.

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          Sparse inverse covariance estimation with the graphical lasso.

          J. Friedman, T. Hastie, R. Tibshirani (2008)
          We consider the problem of estimating sparse graphs by a lasso penalty applied to the inverse covariance matrix. Using a coordinate descent procedure for the lasso, we develop a simple algorithm--the graphical lasso--that is remarkably fast: It solves a 1000-node problem ( approximately 500,000 parameters) in at most a minute and is 30-4000 times faster than competing methods. It also provides a conceptual link between the exact problem and the approximation suggested by Meinshausen and Bühlmann (2006). We illustrate the method on some cell-signaling data from proteomics.
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            Assessment of suicidal intention: the Scale for Suicide Ideation.

            Dora M. Kovacs, Lisa Beck, Ben Weissman (1979)
            Article 0 comments Cited 327 times – based on 0 reviews     Review now
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              Depression sum-scores don’t add up: why analyzing specific depression symptoms is essential

              Eiko I Fried, Randolph Nesse (2015)
              Most measures of depression severity are based on the number of reported symptoms, and threshold scores are often used to classify individuals as healthy or depressed. This method – and research results based on it – are valid if depression is a single condition, and all symptoms are equally good severity indicators. Here, we review a host of studies documenting that specific depressive symptoms like sad mood, insomnia, concentration problems, and suicidal ideation are distinct phenomena that differ from each other in important dimensions such as underlying biology, impact on impairment, and risk factors. Furthermore, specific life events predict increases in particular depression symptoms, and there is evidence for direct causal links among symptoms. We suggest that the pervasive use of sum-scores to estimate depression severity has obfuscated crucial insights and contributed to the lack of progress in key research areas such as identifying biomarkers and more efficacious antidepressants. The analysis of individual symptoms and their causal associations offers a way forward. We offer specific suggestions with practical implications for future research. Electronic supplementary material The online version of this article (doi:10.1186/s12916-015-0325-4) contains supplementary material, which is available to authorized users.
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                Author and article information

                Journal
                Journal ID (iso-abbrev): BJPsych Open
                Title: BJPsych open
                Publisher: Royal College of Psychiatrists
                ISSN (Print): 2056-4724
                Publication date (Electronic): May 2017
                Volume: 3
                Issue: 3
                Affiliations
                [1 ] , PhD, Netherlands Institute for Health Services Research (NIVEL), Utrecht, The Netherlands.
                [2 ] , PhD, Department of Psychology, Psychological Methods Group, University of Amsterdam, The Netherlands.
                [3 ] , PhD, Suicidal Behaviour Research Laboratory, Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK.
                Article
                Publisher Item ID: bjporcpsych004275
                DOI: 10.1192/bjpo.bp.116.004275
                PMC ID: 5415676
                PubMed ID: 28507771
                SO-VID: 5e0a79a5-c41b-4a14-8515-edacc40124a5
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