For a given research question and observational dataset, there are often numerous ways to specify the data analysis pipeline that leads from raw data to the result of interest. Data analysts must make a series of choices concerning data preprocessing, variable definitions, and statistical model specifications. For example, analysis pipelines may differ in their inclusion or exclusion criteria...
Douala General Hospital, a first-class healthcare facility in Cameroon, serves thousands of patients yearly through its multidisciplinary medical teams. The hospital hosts numerous patient records that hold significant potential for public health research. However, most records remain paper-based, limiting their accessibility and reuse. In departments such as pulmonology, patient data are...
Simulation studies are widely used to evaluate statistical methods. However, new methods are often introduced and evaluated using data-generating mechanisms (DGMs) devised by the same authors. This coupling creates misaligned incentives, e.g., the need to demonstrate the superiority of new methods, potentially compromising the neutrality of simulation studies. Furthermore, results of...
Subgroup analyses are frequently reported results from randomized trials. They help to identify heterogeneity in the average treatment effect, which occurs when this average effect varies across different categories of a subgroup factor, like age, sex, or disease severity. If treatment effects are different across subgroups, this information can help to personalize treatment decisions....
Background:
For many years, health research has faced substantial criticism regarding its quality. Appropriate reporting guidelines are available with the EQUATOR (Enhancing the QUAlity and Transparency Of health Research) network acting as an umbrella organization to address reporting issues in health sciences. Nevertheless, many reviews have shown that reporting quality remains poor, which...
