A Systematic Review of Methods for Handling Missing Variance Data in Meta-Analyses of Interventions in Type 2 Diabetes Mellitus.
<h4>Aims</h4>Meta-analysis is of critical importance to decision makers to assess the comparative efficacy and safety of interventions and is integral to health technology assessment. A major problem for the meta-analysis of continuous outcomes is that associated variance data are not co...
Saved in:
| Main Authors: | Sarah Batson, Hannah Burton |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2016-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0164827 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Factors associated with missed appointments by adults with type 2 diabetes mellitus: a systematic review
by: Scott Levin, et al.
Published: (2021-03-01) -
The Effects of Tai Chi Exercise for Patients with Type 2 Diabetes Mellitus: An Overview of Systematic Reviews and Meta-Analyses
by: Hongshuo Shi, et al.
Published: (2022-01-01) -
Mindfulness-based interventions for adults with type 2 diabetes mellitus: A systematic review and meta-analysis
by: Carolyn C Ee, et al.
Published: (2025-06-01) -
Handling missing continuous outcome data in a Bayesian network meta-analysis
by: Danila Azzolina, et al.
Published: (2018-12-01) -
Type 2 diabetes mellitus as a predictor of severe outcomes in COVID-19 — a systematic review and meta-analyses
by: Babatunde Fatoke, et al.
Published: (2025-05-01)