Furthermore, research in this area has to date suffered from methodological weaknesses such as low test power (i.e. too small sample size), inadequate randomisation procedures (e.g. lack of allocation concealment), lack of blinding, and inadequate statistical analysis and reporting.
However, many of these results must be interpreted with caution as they stem from studies with high risk of bias due to small sample sizes, missing control group conditions or randomization procedures, as well as inadequate statistical analysis and reporting of data.
Systematic reviews evaluating the methodological conduct and reporting of studies developing prediction models all conclude that these studies are characterised by deficiencies in study design, inadequate statistical methodology, and poor reporting [ 1, 22- 24].
When RCTs are utilized, they often suffer from poor trial design, inadequate statistical analysis, and incomplete reporting.
This finding suggests that the lack of association between carbapenem resistance and mortality in this report is unlikely to be related to inadequate statistical power.
However, much of the existing research in this emergent public health field is hindered by methodological limitations, including: population and site homogeneity, reliance on self-report measures, aggregated measures of PA, and inadequate statistical modeling.
There are a few papers that use inadequate statistical techniques to claim a link between global temperatures and solar activity.
They tend to lack scientific transparency, have low statistical power and show an alarmingly high level of statistical reporting errors.
Consequently, multiple statistical testing of several endpoints without or with only insufficient adjustment of the chosen significance level, or the use of inadequate statistical methods [21, 69 71].
The predominant explanations account for genetic heterogeneity, environmental interactions, age-dependent effects and inadequate statistical power [8] [11].
This is particularly relevant given that many studies reported a lack of treatment effect on the measured outcomes, and this lack of effect may simply reflect inadequate statistical power.
