Forest plots
Copyright policy )Forest plots
Forest plots are frequently used in meta-analysis to present the results graphically. Without specific knowledge of statistics, a visual assessment of heterogeneity appears to be valid and reproducible. Possible causes of heterogeneity can be explored in modified forest plots. Forest plots in meta-analyses appear to be a valid and useful tool to quickly and efficiently scan and interpret the evidence. The expression ‘a picture is worth a thousand words’ certainly expresses the value of forest plots.
- Erasmus University Medical Center Netherlands
- Erasmus University Rotterdam Netherlands
- George Institute for Global Health Australia
Treatment Outcome, Meta-Analysis as Topic, Data Interpretation, Statistical, Humans, Physical Therapy, Sports Therapy and Rehabilitation, Mathematical Concepts, Sensitivity and Specificity, EMC NIHES-02-67-01, Randomized Controlled Trials as Topic
Treatment Outcome, Meta-Analysis as Topic, Data Interpretation, Statistical, Humans, Physical Therapy, Sports Therapy and Rehabilitation, Mathematical Concepts, Sensitivity and Specificity, EMC NIHES-02-67-01, Randomized Controlled Trials as Topic
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).41 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!