| Hong Wang |
Immunogenicity analysis is a crucial aspect of vaccine clinical trials. This analysis aims to evaluate the immune
responses elicited by a vaccine candidate, enabling researchers and stakeholders to assess the vaccine's effectiveness
in inducing protective immunity against specific pathogens. Subgroup analysis within immunogenicity studies is essential
for understanding how different populations respond to a vaccine. It helps identify variations in immune responses based
on demographic, clinical, or other relevant factors.
Forest plots play a vital role in summarizing and visualizing the
results of immunogenicity analyses, especially in subgroup immunogenicity analyses where the forest plots of different
subgroups are compared to evaluate the overall effectiveness and variability of vaccine responses across these
groups.
A SAS macro has been developed to generate multiple forest plots in a single RTF output. This tool is
particularly beneficial for immunogenicity subgroup analyses, as it provides a clear and concise comparison of
immunogenicity results for various subgroups simultaneously, with one individual forest plot generated for each
group.
This paper presents an overview of the macro's design, key features, and required input data. Additionally, it
shows example outputs generated by the macro in different formats. |