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10.1111/j.1752-8062.2009.00152.x http://scihub22266oqcxt.onion/10.1111/j.1752-8062.2009.00152.x C5350756!5350756 !20443922     free     free     free Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\20443922 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Clin+Transl+Sci 2009 ; 2 (5 ): 374-8 Nephropedia Template TP {{tp|p=20443922 |t=2009. Meta-analysis: A brief introduction |pdf=|usr=}}{{20443922 }} gab.com Text Meta-analysis: A brief introduction JO: Clin Transl Sci http://www.kidney.de/pget.php?&tw=1&pmid=20443922 #FOAvip Meta-analysis is the process of combining data from multiple sources and analyzing it together to increase power and provide a clearer picture of the effect of intervention or exposure on an outcome. The process is not complicated, but requires a great deal of attention to detail. A specific set of inclusion criteria for studies must be defined. Published or available study results may be affected by publication bias of several different types, so the researcher should be sure to conduct a thorough search of available databases in order to include unpublished findings. Following selection, the group of studies should be examined using funnel plots or statistical tests. Meta-analysis models themselves must be selected to properly reflect the combined studies. Both fixed- and random-effects modeling are discussed. Two case studies are presented, illustrating a well-conducted meta-analysis and a meta-analysis that was more controversial. Twit Text FOAVip Meta-analysis: A brief introduction ????Clin Transl Sci http://www.kidney.de/pget.php?&tw=1&pmid=20443922 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=20443922 #FOAvip English Wikipedia <ref>{{Cite pmid|20443922 }}</ref> Meta-analysis: A brief introduction #MMPMID20443922 Andrel JA ; Keith SW ; Leiby BE Clin Transl Sci 2009[Oct]; 2 (5 ): 374-8 PMID20443922 show ga Meta-analysis is the process of combining data from multiple sources and analyzing it together to increase power and provide a clearer picture of the effect of intervention or exposure on an outcome. The process is not complicated, but requires a great deal of attention to detail. A specific set of inclusion criteria for studies must be defined. Published or available study results may be affected by publication bias of several different types, so the researcher should be sure to conduct a thorough search of available databases in order to include unpublished findings. Following selection, the group of studies should be examined using funnel plots or statistical tests. Meta-analysis models themselves must be selected to properly reflect the combined studies. Both fixed- and random-effects modeling are discussed. Two case studies are presented, illustrating a well-conducted meta-analysis and a meta-analysis that was more controversial. |*Meta-Analysis as Topic [MESH] |*Research Design [MESH] |Adolescent [MESH] |Adult [MESH] |Clinical Trials as Topic [MESH] |Global Health [MESH] |Humans [MESH] |Middle Aged [MESH] |Models, Statistical [MESH] |Public Health [MESH] |Publication Bias [MESH] |Publications [MESH]Meta-analysis: A brief introduction (epmc).pdf DeepDyve Pubget Overpricing