Project Details
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Consolidating and Advancing the Methodology to Address Missing Participant Outcome Data in Conventional and Network Meta-analysis of Healthcare Interventions

Subject Area Epidemiology and Medical Biometry/Statistics
Term from 2017 to 2022
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 339420617
 
Final Report Year 2021

Final Report Abstract

No abstract available

Publications

  • A systematic survey shows that reporting and handling of missing outcome data in networks of interventions is poor. BMC Med Res Methodol 2018;18:115
    Spineli LM, Yepes-Nuñez JJ, Schünemann H
    (See online at https://doi.org/10.1186/s12874-018-0576-9)
  • An empirical comparison of Bayesian modelling strategies for missing binary outcome data in network meta-analysis. BMC Med Res Methodol 2019;19(1):86
    Spineli LM
    (See online at https://doi.org/10.1186/s12874-019-0731-y)
  • Modeling missing binary outcome data while preserving transitivity assumption yielded more credible network meta-analysis results. J Clin Epidemiol 2019;105:19-26
    Spineli LM
    (See online at https://doi.org/10.1016/j.jclinepi.2018.09.002)
  • Participants' outcomes gone missing within a network of interventions: Bayesian modeling strategies. Stat Med 2019;38(20):3861-3879
    Spineli LM, Kalyvas C, Pateras K
    (See online at https://doi.org/10.1002/sim.8207)
  • Comparison of exclusion, imputation and modelling of missing binary outcome data in frequentist network meta-analysis. BMC Med Res Methodol 2020; 20(1):48
    Spineli LM, Kalyvas C
    (See online at https://doi.org/10.1186/s12874-020-00929-9)
  • Continuous(ly) missing outcome data in network meta-analysis: a one-stage pattern-mixture model approach. Stat Methods Med Res 2021; 30(4):958–975
    Spineli LM, Kalyvas C, Papadimitropoulou K
    (See online at https://doi.org/10.1177/0962280220983544)
  • Incorporating Missing Outcome Data in The Sample Size Calculation For a Future Trial: A Case Study Using a Single Trial, a Pairwise and Network Meta-Analysis. 2021
    Spineli LM
    (See online at https://doi.org/10.21203/rs.3.rs-198337/v1)
  • Pattern-mixture model in network metaanalysis of binary missing outcome data: one-stage or two-stage approach? BMC Med Res Methodol 2021; 21(1):12
    Spineli LM, Papadimitropoulou K, Kalyvas C
    (See online at https://doi.org/10.1186/s12874-020-01205-6)
  • Quantifying the robustness of primary analysis results: a case study on missing outcome data in pairwise and network meta-analysis. Res Synth Methods 2021;12(4):475-490
    Spineli LM, Kalyvas C, Papadimitropoulou K
    (See online at https://doi.org/10.1002/jrsm.1478)
 
 

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