Literature DB >> 23810022

Assessing comparative effectiveness of new drugs before approval using prospective network meta-analyses.

Huseyin Naci, Alec B O'Connor.   

Abstract

Mesh：

Year:  2013        PMID： 23810022     DOI： 10.1016/j.jclinepi.2013.04.002

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN： 0895-4356            Impact factor:   6.437


× No keyword cloud information.
  5 in total

Review 1.  Living network meta-analysis compared with pairwise meta-analysis in comparative effectiveness research: empirical study.

Authors:  Adriani Nikolakopoulou; Dimitris Mavridis; Toshi A Furukawa; Andrea Cipriani; Andrea C Tricco; Sharon E Straus; George C M Siontis; Matthias Egger; Georgia Salanti
Journal:  BMJ       Date:  2018-02-28

2.  Continuously updated network meta-analysis and statistical monitoring for timely decision-making.

Authors:  Adriani Nikolakopoulou; Dimitris Mavridis; Matthias Egger; Georgia Salanti
Journal:  Stat Methods Med Res       Date:  2016-09-01       Impact factor: 3.021

Review 3.  Are Novel, Nonrandomized Analytic Methods Fit for Decision Making? The Need for Prospective, Controlled, and Transparent Validation.

Authors:  Hans-Georg Eichler; Franz Koenig; Peter Arlett; Harald Enzmann; Anthony Humphreys; Frank Pétavy; Brigitte Schwarzer-Daum; Bruno Sepodes; Spiros Vamvakas; Guido Rasi
Journal:  Clin Pharmacol Ther       Date:  2019-10-01       Impact factor: 6.875

4.  Wasted research when systematic reviews fail to provide a complete and up-to-date evidence synthesis: the example of lung cancer.

Authors:  Perrine Créquit; Ludovic Trinquart; Amélie Yavchitz; Philippe Ravaud
Journal:  BMC Med       Date:  2016-01-20       Impact factor: 8.775

5.  Planning a future randomized clinical trial based on a network of relevant past trials.

Authors:  Georgia Salanti; Adriani Nikolakopoulou; Alex J Sutton; Stephan Reichenbach; Sven Trelle; Huseyin Naci; Matthias Egger
Journal:  Trials       Date:  2018-07-11       Impact factor: 2.279
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.