Add to ORKGA confusing number of measures are used to describe the effect sires from clinical trials or systematic reviews. Absolute measures (absolute risk reduction, number needed to treat) and relative measures (relative risk reduction, relative risk or odds ratio) may give not just different numerical answers bur convey different messages. This paper describes the role and meaning of the different measures, advises on their interpretation, and highlights the importance of taking into account the initial risk when assessing effect sizes from published studies.</p
Effect size measures are used to quantify treatment effects or associations between variables. Such ...
Two different approaches have been used to derive measures of effect size. One approach is based on ...
AbstractIntroductionStatistical analyses of data and making sense of medical data have received much...
A confusing number of measures are used to describe the effect sires from clinical trials or systema...
International audienceUNLABELLED: WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT: Several comparative meas...
Epidemiological studies aim at assessing the relationship between exposures and outcomes. Clinicians...
Published research often address aspects related to “statistical significance” but fail to address t...
Published research often address aspects related to “statistical significance” but fail to address t...
n a previous article in this series we described the relative measures for reporting study results. ...
To appreciate the significance of clinical trial results, clinicians need to understand the mathemat...
The effects of an intervention is best measured in a randomized controlled trial (RCT) and can be ex...
There are many measures to report so-called treatment or causal effect: absolute difference, ratio, ...
The effect of a treatment versus controls may be expressed in relative or absolute terms. For ration...
Absolute and relative outcome measures measure a treatment’s effect size, purporting to inform treat...
In the previous article in this series on common pitfalls in statistical analysis, we looked at the ...
Effect size measures are used to quantify treatment effects or associations between variables. Such ...
Two different approaches have been used to derive measures of effect size. One approach is based on ...
AbstractIntroductionStatistical analyses of data and making sense of medical data have received much...
A confusing number of measures are used to describe the effect sires from clinical trials or systema...
International audienceUNLABELLED: WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT: Several comparative meas...
Epidemiological studies aim at assessing the relationship between exposures and outcomes. Clinicians...
Published research often address aspects related to “statistical significance” but fail to address t...
Published research often address aspects related to “statistical significance” but fail to address t...
n a previous article in this series we described the relative measures for reporting study results. ...
To appreciate the significance of clinical trial results, clinicians need to understand the mathemat...
The effects of an intervention is best measured in a randomized controlled trial (RCT) and can be ex...
There are many measures to report so-called treatment or causal effect: absolute difference, ratio, ...
The effect of a treatment versus controls may be expressed in relative or absolute terms. For ration...
Absolute and relative outcome measures measure a treatment’s effect size, purporting to inform treat...
In the previous article in this series on common pitfalls in statistical analysis, we looked at the ...
Effect size measures are used to quantify treatment effects or associations between variables. Such ...
Two different approaches have been used to derive measures of effect size. One approach is based on ...
AbstractIntroductionStatistical analyses of data and making sense of medical data have received much...