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Meta‐analytic approaches to determine gender differences in the age‐incidence characteristics of schizophrenia and related psychoses
A recent systematic review and meta‐analysis of the incidence and prevalence of schizophrenia and other psychoses in England investigated the variation in the rates of psychotic disorders. However, some of the questions of interest, and the data collected to answer these, could not be adequately add...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3749444/ https://www.ncbi.nlm.nih.gov/pubmed/23456888 http://dx.doi.org/10.1002/mpr.1376 |
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author | Jackson, Dan Kirkbride, James Croudace, Tim Morgan, Craig Boydell, Jane Errazuriz, Antonia Murray, Robin M. Jones, Peter B. |
author_facet | Jackson, Dan Kirkbride, James Croudace, Tim Morgan, Craig Boydell, Jane Errazuriz, Antonia Murray, Robin M. Jones, Peter B. |
author_sort | Jackson, Dan |
collection | PubMed |
description | A recent systematic review and meta‐analysis of the incidence and prevalence of schizophrenia and other psychoses in England investigated the variation in the rates of psychotic disorders. However, some of the questions of interest, and the data collected to answer these, could not be adequately addressed using established meta‐analysis techniques. We developed a novel statistical method, which makes combined use of fractional polynomials and meta‐regression. This was used to quantify the evidence of gender differences and a secondary peak onset in women, where the outcome of interest is the incidence of schizophrenia. Statistically significant and epidemiologically important effects were obtained using our methods. Our analysis is based on data from four studies that provide 50 incidence rates, stratified by age and gender. We describe several variations of our method, in particular those that might be used where more data is available, and provide guidance for assessing the model fit. Copyright © 2013 John Wiley & Sons, Ltd. |
format | Online Article Text |
id | pubmed-3749444 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-37494442013-08-22 Meta‐analytic approaches to determine gender differences in the age‐incidence characteristics of schizophrenia and related psychoses Jackson, Dan Kirkbride, James Croudace, Tim Morgan, Craig Boydell, Jane Errazuriz, Antonia Murray, Robin M. Jones, Peter B. Int J Methods Psychiatr Res Research Articles A recent systematic review and meta‐analysis of the incidence and prevalence of schizophrenia and other psychoses in England investigated the variation in the rates of psychotic disorders. However, some of the questions of interest, and the data collected to answer these, could not be adequately addressed using established meta‐analysis techniques. We developed a novel statistical method, which makes combined use of fractional polynomials and meta‐regression. This was used to quantify the evidence of gender differences and a secondary peak onset in women, where the outcome of interest is the incidence of schizophrenia. Statistically significant and epidemiologically important effects were obtained using our methods. Our analysis is based on data from four studies that provide 50 incidence rates, stratified by age and gender. We describe several variations of our method, in particular those that might be used where more data is available, and provide guidance for assessing the model fit. Copyright © 2013 John Wiley & Sons, Ltd. John Wiley and Sons Inc. 2013-03-04 /pmc/articles/PMC3749444/ /pubmed/23456888 http://dx.doi.org/10.1002/mpr.1376 Text en Copyright © 2013 John Wiley & Sons, Ltd. Open access. |
spellingShingle | Research Articles Jackson, Dan Kirkbride, James Croudace, Tim Morgan, Craig Boydell, Jane Errazuriz, Antonia Murray, Robin M. Jones, Peter B. Meta‐analytic approaches to determine gender differences in the age‐incidence characteristics of schizophrenia and related psychoses |
title | Meta‐analytic approaches to determine gender differences in the age‐incidence characteristics of schizophrenia and related psychoses |
title_full | Meta‐analytic approaches to determine gender differences in the age‐incidence characteristics of schizophrenia and related psychoses |
title_fullStr | Meta‐analytic approaches to determine gender differences in the age‐incidence characteristics of schizophrenia and related psychoses |
title_full_unstemmed | Meta‐analytic approaches to determine gender differences in the age‐incidence characteristics of schizophrenia and related psychoses |
title_short | Meta‐analytic approaches to determine gender differences in the age‐incidence characteristics of schizophrenia and related psychoses |
title_sort | meta‐analytic approaches to determine gender differences in the age‐incidence characteristics of schizophrenia and related psychoses |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3749444/ https://www.ncbi.nlm.nih.gov/pubmed/23456888 http://dx.doi.org/10.1002/mpr.1376 |
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