Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1177/0962280215611702 http://scihub22266oqcxt.onion/10.1177/0962280215611702 C4964944!4964944!26546254     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Stat+Methods+Med+Res 2017 ; 26 (6): 2853-68 Nephropedia Template TP {{tp|p=26546254|t=2017. Borrowing of strength and study weights in multivariate and network meta-analysis |pdf=|usr=}}{{26546254}} gab.com Text Borrowing of strength and study weights in multivariate and network meta-analysis JO: Stat Methods Med Res http://www.kidney.de/pget.php?&tw=1&pmid=26546254 #FOAvip Multivariate and network meta-analysis have the potential for the estimated mean of one effect to borrow strength from the data on other effects of interest. The extent of this borrowing of strength is usually assessed informally. We present new mathematical definitions of ?borrowing of strength?. Our main proposal is based on a decomposition of the score statistic, which we show can be interpreted as comparing the precision of estimates from the multivariate and univariate models. Our definition of borrowing of strength therefore emulates the usual informal assessment. We also derive a method for calculating study weights, which we embed into the same framework as our borrowing of strength statistics, so that percentage study weights can accompany the results from multivariate and network meta-analyses as they do in conventional univariate meta-analyses. Our proposals are illustrated using three meta-analyses involving correlated effects for multiple outcomes, multiple risk factor associations and multiple treatments (network meta-analysis). Twit Text FOAVip Borrowing of strength and study weights in multivariate and network meta-analysis ????Stat Methods Med Res http://www.kidney.de/pget.php?&tw=1&pmid=26546254 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26546254 #FOAvip English Wikipedia <ref>{{Cite pmid|26546254}}</ref> Borrowing of strength and study weights in multivariate and network meta-analysis #MMPMID26546254 Jackson D; White IR; Price M; Copas J; Riley RD Stat Methods Med Res 2017[Dec]; 26 (6): 2853-68 PMID26546254show ga Multivariate and network meta-analysis have the potential for the estimated mean of one effect to borrow strength from the data on other effects of interest. The extent of this borrowing of strength is usually assessed informally. We present new mathematical definitions of ?borrowing of strength?. Our main proposal is based on a decomposition of the score statistic, which we show can be interpreted as comparing the precision of estimates from the multivariate and univariate models. Our definition of borrowing of strength therefore emulates the usual informal assessment. We also derive a method for calculating study weights, which we embed into the same framework as our borrowing of strength statistics, so that percentage study weights can accompany the results from multivariate and network meta-analyses as they do in conventional univariate meta-analyses. Our proposals are illustrated using three meta-analyses involving correlated effects for multiple outcomes, multiple risk factor associations and multiple treatments (network meta-analysis). äBorrowing of strength and study weights in multivariate and network me(epmc).pdf DeepDyve Pubget Overpricing