Joint synthesis of multiple correlated outcomes in networks of interventions.

Joint synthesis of multiple correlated outcomes in networks of interventions.

Multiple outcomes multivariate meta-analysis (MOMA) is gaining in popularity as a tool for jointly synthesizing evidence coming from studies that report effect estimates for multiple correlated outcomes. Models for MOMA are available for the case of the pairwise meta-analysis of two treatments for m...

Полное описание

Библиографические подробности
Главные авторы:	Efthimiou, O, Mavridis, D, Riley, R, Cipriani, A, Salanti, G
Формат:	Journal article
Язык:	English
Опубликовано:	2015

Схожие документы

An approach for modelling multiple correlated outcomes in a network of interventions using odds ratios.
по: Efthimiou, O, и др.
Опубликовано: (2014)

An approach for modelling multiple correlated outcomes in a network of interventions using odds ratios
по: Efthimiou, O, и др.
Опубликовано: (2014)

The Kilim plot: a tool for visualizing network meta-analysis results for multiple outcomes
по: Seo, M, и др.
Опубликовано: (2020)

A fully Bayesian application of the Copas selection model for publication bias extended to network meta-analysis.
по: Mavridis, D, и др.
Опубликовано: (2013)

Efficacy of pharmacological interventions for ADHD: protocol for an updated systematic review and dose–response network meta-analysis
по: Nourredine, M, и др.
Опубликовано: (2024)

Allowing for uncertainty due to missing and LOCF imputed outcomes in meta‐analysis
по: Mavridis, D, и др.
Опубликовано: (2018)

Efficacy of pharmacological interventions for ADHD: protocol for an updated systematic review and dose–response network meta-analysis
по: Mikail Nourredine, и др.
Опубликовано: (2024-10-01)

Evaluating the impact of imputations for missing participant outcome data in a network meta-analysis.
по: Spineli, L, и др.
Опубликовано: (2013)

Personalise antidepressant treatment for unipolar depression combining individual choices, risks and big data (PETRUSHKA): rationale and protocol
по: Tomlinson, A, и др.
Опубликовано: (2019)

Estimating and visualising the trade-off between benefits and harms on multiple clinical outcomes in network meta-analysis
по: Virginia Chiocchia, и др.
Опубликовано: (2023-11-01)

Living network meta-analysis of prospectively planned trials for timely recommendations: An empirical study
по: Nikolakopoulou, A, и др.
Опубликовано: (2018)

Combining endpoint and change data did not affect the summary standardised mean difference in pairwise and network meta‐analyses: An empirical study in depression
по: Ostinelli, EG, и др.
Опубликовано: (2024)

Living network meta-analysis compared with pairwise meta-analysis in comparative effectiveness research: empirical study.
по: Nikolakopoulou, A, и др.
Опубликовано: (2018)

Prevalence of evidence of inconsistency and its association with network structural characteristics in 201 published networks of interventions
по: Areti Angeliki Veroniki, и др.
Опубликовано: (2021-10-01)

What is a multiple treatments meta-analysis?
по: Cipriani, A, и др.
Опубликовано: (2012)

Cognitive-behavioral analysis system of psychotherapy, drug, or their combination for persistent depressive disorder: personalizing the treatment choice using individual participant data network meta-regression
по: Furukawa, T, и др.
Опубликовано: (2018)

Graphical tools for network meta-analysis in STATA.
по: Anna Chaimani, и др.
Опубликовано: (2013-01-01)

Conceptual and technical challenges in network meta-analysis.
по: Cipriani, A, и др.
Опубликовано: (2013)

Side effect profile and comparative tolerability of 21 antidepressants in the acute treatment of major depression in adults: protocol for a network meta-analysis
по: Tomlinson, A, и др.
Опубликовано: (2019)

Comparative efficacy and tolerability of 15 antipsychotic drugs in schizophrenia: a multiple-treatments meta-analysis.
по: Leucht, S, и др.
Опубликовано: (2013)

Comparative efficacy and tolerability of 15 antipsychotic drugs in schizophrenia: A multiple-treatments meta-analysis
по: Leucht, S, и др.
Опубликовано: (2013)

Personalise antidepressant treatment for unipolar depression combining individual choices, risks and big data (PETRUSHKA): rationale and protocol
по: Toshi A Furukawa, и др.
Опубликовано: (2020-05-01)

Predicting treatment effects in unipolar depression: A meta-review
по: Gillett, G, и др.
Опубликовано: (2020)

Cognitive-behavioural analysis system of psychotherapy (CBASP), a drug, or their combination: differential therapeutics for persistent depressive disorder: a study protocol of an individual participant data network meta-analysis
по: Furukawa, TA, и др.
Опубликовано: (2016)

The correlation between score-based protocol for equine joint assessment and subsequent arthroscopic intervention outcomes
по: Marilene Machado Silva, и др.
Опубликовано: (2020-01-01)

Network meta-analyses should be the highest level of evidence in treatment guidelines
по: Leucht, S, и др.
Опубликовано: (2016)

netmeta: An R Package for Network Meta-Analysis Using Frequentist Methods
по: Sara Balduzzi, и др.
Опубликовано: (2023-03-01)

Evidence synthesis, practice guidelines and real-world prescriptions of new generation antidepressants in the treatment of depression: a protocol for cumulative network meta-analyses and meta-epidemiological study
по: Luo, Y, и др.
Опубликовано: (2018)

Common pitfalls and mistakes in the set-up, analysis and interpretation of results in network meta-analysis: what clinicians should look for in a published article
по: Chaimani, A, и др.
Опубликовано: (2017)

Network meta-analysis of antidepressants - Authors' reply
по: Cipriani, A, и др.
Опубликовано: (2018)

Cognitive restructuring, behavioral activation and cognitive behavioral therapy in the treatment of adult depression: a network meta-analysis
по: Ciharova, M, и др.
Опубликовано: (2021)

A review of methods for addressing components of interventions in meta-analysis.
по: Maria Petropoulou, и др.
Опубликовано: (2021-01-01)

Impact of placebo arms on outcomes in antidepressant trials: systematic review and meta-regression analysis
по: Salanti, G, и др.
Опубликовано: (2018)

Development and validation of a meta-learner for combining statistical and machine learning prediction models in individuals with depression
по: Qiang Liu, и др.
Опубликовано: (2022-05-01)

60 years of placebo-controlled antipsychotic drug trials in acute schizophrenia: Meta-regression of predictors of placebo response
по: Leucht, S, и др.
Опубликовано: (2018)

Method of the Joint Clustering in Network and Correlation Spaces
по: Anastasiia N. Gainullina, и др.
Опубликовано: (2020-06-01)

A dose-effect network meta-analysis model with application in antidepressants using restricted cubic splines
по: Hamza, T, и др.
Опубликовано: (2022)

Network meta-analysis: drawing conclusions regarding trials of psychosocial interventions for bipolar disorder.
по: Miklowitz, D, и др.
Опубликовано: (2017)

Acute interventions for aggression and agitation in psychosis: study protocol for a systematic review and network meta-analysis
по: Toshi A Furukawa, и др.
Опубликовано: (2019-10-01)

Nonlinear Encryption for Multiple Images Based on a Joint Transform Correlator and the Gyrator Transform
по: Ronal A. Perez, и др.
Опубликовано: (2023-02-01)