Effect of atypical populations in meta-analysis

Journal of Applied & Computational Mathematics

ISSN: 2168-9679

Open Access

Effect of atypical populations in meta-analysis

4th International Conference and Exhibition on Biometrics & Biostatistics

November 16-18, 2015 San Antonio, USA

Juliana Torres S?¡nchez

Universidad Nacional de Colombia, Colombia

Scientific Tracks Abstracts: J Appl Computat Math

Abstract :

The meta-analysis is a statistical technique that allows the sum of different studies, to obtain conclusions allowing the unification of results, helping for true understanding of the response variable analyzed. In this research, the effects that an atypical study has on the results of the meta-analysis are discussed, and provide recommendations for dealing with them, where the interest response, refers to mean and/or proportions. General Objectives: To generate a proposal about the identification and the appropriate handling of atypical studies in metaanalysis. Specific Objectives: To determine the effect of an atypical study over meta-analysis results, to introduce the methodology by using simulation in â??metaforâ?? package from R software and developing the corresponding conclusions and suggest solutions to detect and deal with atypical studies. Methods or Models: This research project is based on the realization of a meta-analytic process to evaluate the effect of atypical populations in the process of meta-analysis through simulations using statistical software that supports control to assess variations in the mean and variance of only one study that is considered atypical, under control levels. The simulation procedure is based on shifts in mean and variance both up and down, so that their effects can be observed in the meta-analysis to infer the effect in other types of study of various features, without diminishing the validity. The incidence that atypical study takes in an analytical process may be negligible or can be so significant that it can radically change the meaning or own inferences reached by the meta-analysis, offering expressions that could be taken as true and false or vice versa.

Biography :

Juliana Torres Sánchez has completed her Undergraduation at Universidad Nacional de Colombia, and she is now studying for her Graduate program in Statistics at the same University in Colombia. She has published an article called ‘Efecto de niveles crecientes de nitrógeno no protéico dietario sobre la concentración de precursores gluconeogénicos en hígado bovino’ in the Journal Facultad Nacional De Agronomía; Medellín ISSN: 0304-2847 ed: Universidad Nacional de Colombia v.63 fasc.N/A p.5363 - 5372, 2010.


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