What is random in Random effects model

Location: Queens 01.11 Research group: EARs Date: 28 May 2014, 12 noon Speaker:   Ilyas Bakbergenuly and Prof. Elena Kulinskaya Abstract Random effects model (REM) in meta-analysis incorporates heterogeneity of effect measures across studies. We are interested in combining odds ratios from K 2x2 contingency tables. The standard (additive) REM is the random intercept model in 1-way ANOVA for log-odds ratios. Alternatively, heterogeneity can be induced via...

Reporting standards for systematic reviews

Location : LSB 01.19 Research Group : EARs Date : 26 March 2014, 12:00 noon Speaker : Dr  Lee Hooper

Inaccessibility and dissemination bias in biomedical research: why we need full information about research methods and results?

Location : TPSC 1.4 Research Group : EARs Date : 27 February 2014, 12:00 noon Speaker : Prof. Fujian Song Topic : Inaccessibility and dissemination bias in biomedical research: why we need full information about research methods and results? Abstract This presentation will be based on materials from a recent (January 2014) Lancet series (Research: increasing value, reducing waste), 2010 HTA report on dissemination bias, and an updated systematic...

EARs Meeting, Wednesday - 6th November 2013

Location : D'Arcy Thompson Room Date : 6 November 2013, 12:00 Topic : There is no planned talk for this meeting, instead we would like to catch up, and to discuss what do the participants want and/or can offer, and what is the best way to proceed. 
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