Scientific integrity is the cornerstone of progress in biomedical research. Nowhere is this more critical than in nonclinical settings. Reproducibility – the ability to consistently replicate findings across studies, laboratories and organisations is – is not just a technical requirement. It is a fundamental attribute that underpins trust. As nonclinical research continues to expand in...
Low rates of replicability in early phase biomedical research hinder progress and putatively cause high attrition rates in clinical trials. To improve evidence generation processes, preclinical confirmatory studies and preregistration offer potentially effective strategies. By comparing conduct and outcome of preclinical studies utilizing such strategies, we examined how different degrees of...
Animal experiments are often purely exploratory, with little to no data available to support the planning phase. Nonetheless, ethical guidelines demand scientifically sound biometric planning. The experimental designs are typically complex, involving numerous experimental groups and adaptive steps, which complicates statistical planning.
In recent years, statistical aspects of such...
In preclinical animal studies, researchers often have a certain degree of freedom when it comes to selecting the exact statistical analysis strategy for their experiment. Ideally, this analysis strategy should be specified prior to the experiment (and preregistered, if possible), with sample size planning conducted in accordance with the chosen analytical approach. Sample size calculations...
