Pfizer approached our statistical consulting team with a critical question: Is there a significant effect of allergies on treatment responses? Pfizer was committed to ensuring the effectiveness of their products and needed to investigate this matter thoroughly. We undertook a meticulous data analysis to address the research question and evaluate the hypothesis.
The foundation of this research project was a robust dataset comprising survey responses from 13,000 patients collected over 10 years, allowing for a thorough examination of the influence of allergies on patients’ treatment responses. The central hypothesis guiding the research efforts was as follows: H1 – There is a significant effect of allergies on treatment responses. The research rigorously tested this hypothesis, seeking to determine whether allergies had a statistically significant impact on the effectiveness of treatments.
We performed a linear regression analysis using Stata’s statistical software to evaluate the hypothesis. Linear regression is a powerful statistical technique for examining the relationship between a continuous predictor variable (allergies) and a continuous outcome variable (treatment responses). The analysis yielded compelling findings that provided valuable insights into the client’s inquiry.
The research results indicated a statistically significant effect of allergies […]