When it comes to clinical issues, biostatistical methods, and biostatisticians’ assistance can inform the groundwork for clinical trials and ensure their methodological adequacy. One example of biostatistics applied to clinical issues is the use of the RCT methodology to explore new promising drugs’ effectiveness compared to alternative treatment options or placebo.
Applying the appropriate inclusion and exclusion criteria, researchers end up having a sample in which the tested drug’s health promotion effects are most likely to manifest themselves without inflicting the risks of adverse events.
In relation to medical issues, biostatistics supports the global research community in accumulating and generalizing knowledge on known disorders’ underlying pathophysiological mechanisms. As an example, researchers can conduct case series research to examine the medical records of lung cancer patients and find out whether a history of asbestos exposure is common in the population of interest.
In this sense, statistical methods applied to medical research can support the global scientific community in analyzing the links between exposures and outcomes. Therefore, they add to the knowledge base of risk factors, which is especially valuable in the case of preventable disorders.
Biostatistical methods of research support the identification and subsequent resolution of public health issues. As an example, obesity is a prominent topic in public health research. Using biostatistical methods, researchers can explore this condition’s prevalence in various populations, including racial minorities.
Understanding trends and ethnic disparities with regard to elevated BMI levels, healthcare authorities make informed decisions about disease prevention programs, funding, and required awareness events.