Handling missing or incomplete data in a Bayesian network meta-analysis framework

被引：0
|
作者：
Azzolina, Danila [1 ]
Baldi, Ileana [1 ]
Berchialla, Paola [2 ]
Minto, Clara [1 ]
Gregori, Dario [1 ]
机构：
[1] Univ Padua, Padua, Italy
[2] Univ Turin, Turin, Italy
来源：
TRIALS | 2017年 / 18卷
关键词：
D O I：
暂无
中图分类号：
R-3 [医学研究方法]; R3 [基础医学];
学科分类号：
1001 ;
摘要：
P103
引用
收藏
页数：1
相关论文
共 50 条
  • [41] NETWORK META-ANALYSIS OF LONGITUDINAL DATA
    Vieira, M. C.
    Cope, S.
    Jansen, J. P.
    [J]. VALUE IN HEALTH, 2013, 16 (03) : A15 - A15
  • [42] Handling trial participants with missing outcome data when conducting a meta-analysis: A systematic survey of proposed approaches
    Akl E.A.
    Kahale L.A.
    Agoritsas T.
    Brignardello-Petersen R.
    Busse J.W.
    Carrasco-Labra A.
    Ebrahim S.
    Johnston B.C.
    Neumann I.
    Sola I.
    Sun X.
    Vandvik P.
    Zhang Y.
    Alonso-Coello P.
    Guyatt G.
    [J]. Systematic Reviews, 4 (1)
  • [43] Bayesian network models for incomplete and dynamic data
    Scutari, Marco
    [J]. STATISTICA NEERLANDICA, 2020, 74 (03) : 397 - 419
  • [44] Bayesian network induction with incomplete private data
    Zhan, J
    Chang, LW
    Matwin, S
    [J]. SHAPING BUSINESS STRATEGY IN A NETWORKED WORLD, VOLS 1 AND 2, PROCEEDINGS, 2004, : 1119 - 1124
  • [45] A framework for handling missing accelerometer outcome data in trials
    Tackney, Mia S.
    Cook, Derek G.
    Stahl, Daniel
    Ismail, Khalida
    Williamson, Elizabeth
    Carpenter, James
    [J]. TRIALS, 2021, 22 (01)
  • [46] A framework for handling missing accelerometer outcome data in trials
    Mia S. Tackney
    Derek G. Cook
    Daniel Stahl
    Khalida Ismail
    Elizabeth Williamson
    James Carpenter
    [J]. Trials, 22
  • [47] Comparison of exclusion, imputation and modelling of missing binary outcome data in frequentist network meta-analysis
    Spineli, Loukia M.
    Kalyvas, Chrysostomos
    [J]. BMC MEDICAL RESEARCH METHODOLOGY, 2020, 20 (01)
  • [48] Comparison of exclusion, imputation and modelling of missing binary outcome data in frequentist network meta-analysis
    Loukia M. Spineli
    Chrysostomos Kalyvas
    [J]. BMC Medical Research Methodology, 20
  • [49] Z Allowing for uncertainty due to missing continuous outcome data in pairwise and network meta-analysis
    Mavridis, Dimitris
    White, Ian R.
    Higgins, Julian P. T.
    Cipriani, Andrea
    Salanti, Georgia
    [J]. STATISTICS IN MEDICINE, 2015, 34 (05) : 721 - 741
  • [50] How robust are findings of pairwise and network meta-analysis in the presence of missing participant outcome data?
    Spineli, Loukia M.
    Kalyvas, Chrysostomos
    Papadimitropoulou, Katerina
    [J]. BMC MEDICINE, 2021, 19 (01)
12345