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X Demographics
Mendeley readers
| Title |
Meta-analysis of prevalence
|
|---|---|
| Published in |
Journal of Epidemiology & Community Health, August 2013
|
| DOI | 10.1136/jech-2013-203104 |
| Pubmed ID | |
| Authors |
Jan J Barendregt, Suhail A Doi, Yong Yi Lee, Rosana E Norman, Theo Vos |
| Abstract |
Meta-analysis is a method to obtain a weighted average of results from various studies. In addition to pooling effect sizes, meta-analysis can also be used to estimate disease frequencies, such as incidence and prevalence. In this article we present methods for the meta-analysis of prevalence. We discuss the logit and double arcsine transformations to stabilise the variance. We note the special situation of multiple category prevalence, and propose solutions to the problems that arise. We describe the implementation of these methods in the MetaXL software, and present a simulation study and the example of multiple sclerosis from the Global Burden of Disease 2010 project. We conclude that the double arcsine transformation is preferred over the logit, and that the MetaXL implementation of multiple category prevalence is an improvement in the methodology of the meta-analysis of prevalence. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 63% |
| United States | 1 | 13% |
| Zimbabwe | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 38% |
| Practitioners (doctors, other healthcare professionals) | 3 | 38% |
| Scientists | 1 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 744 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 4 | <1% |
| United Kingdom | 4 | <1% |
| United States | 3 | <1% |
| Turkey | 2 | <1% |
| Canada | 2 | <1% |
| Spain | 2 | <1% |
| Korea, Republic of | 1 | <1% |
| Norway | 1 | <1% |
| France | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 721 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 111 | 15% |
| Student > Master | 105 | 14% |
| Researcher | 98 | 13% |
| Other | 53 | 7% |
| Student > Postgraduate | 48 | 6% |
| Other | 159 | 21% |
| Unknown | 170 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 226 | 30% |
| Nursing and Health Professions | 42 | 6% |
| Psychology | 37 | 5% |
| Agricultural and Biological Sciences | 33 | 4% |
| Social Sciences | 24 | 3% |
| Other | 149 | 20% |
| Unknown | 233 | 31% |