Now showing items 1-3 of 3

    • Bonner, Ashley; Alexander, Paul; Brignardello Petersen, Romina; Furukawa, Toshi; Siemieniuk, Reed; Zhang, Yuan; Wiercioch, Wojtek; Florez, Ivan; Fei, Yutong; Agarwal, Arnav; Yepes-Nuñez, Juan; Beyene, Joseph; Schünemann, Holger; Guyatt, Gordon (Elsevier USA, 2018)
      Objective: To explore the impact of applying the Grading of Recommendations and Assessment, Development, and Evaluation (GRADE) approach to assess the certainty of the evidence in a published network meta-analysis (NMA) ...
    • Schünemann, Holger; Wiercioch, Wojtek; Brozek, Jan; Etxeandia Ikobaltzeta, Itziar; Mustafa, Reem; Manja, Veena; Brignardello Petersen, Romina; Neumann, Ignacio; Falavigna, Maicon; Alhazzani, Waleed; Santesso, Nancy; Zhang, Yuan; Meerpohl, Jörg; Morgan, Rebecc; Rochwerg, Bram; Darzi, Andrea; Ximenas Rojas, María; Carrasco Labra, Alonso; AlRayees, Zulfa; Riva, John; Bollig, Claudia; Moore, Ainsley; Yepes-Nuñez, Juan; Cuello, Carlos; Waziry, Reem; Akl, Elie A (Elsevier USA, 2017)
      Background Guideline developers can: (1) adopt existing recommendations from others; (2) adapt existing recommendations to their own context; or (3) create recommendations de novo. Monetary and nonmonetary resources, ...
    • Wu, Darong; Akl, Elie A.; Guyatt, Gordon H.; Devereaux, Philip J.; Brignardello Petersen, Romina; Prediger, Barbara; Patel, Krupesh; Patel, Namrata; Lu, Taoying; Zhang, Yuan; Falavigna, Maicon; Santesso, Nancy; Mustafa, Reem A.; Zhou, Qi; Briel, Matthias; Schünemann, Holger J. (BioMed Central Ltd., 2014)
      Background: Although even randomization (that is, approximately 1:1 randomization ratio in study arms) provides the greatest statistical power, designed uneven randomization (DUR), (for example, 1:2 or 1:3) is used to ...