Biostats: Biases and Misrepresentation
Biostatistics can be extremely useful to better analyze complex data and understand biological relationships in public health, molecular and cell biology, and more. However, biases and misrepresentation in both the research data and data analysis can result in incorrect conclusions or solutions that impact the lives of many. As we explore the general field of biostatistics, we will come to better understand how data is collected, how biases can be found, and the impact of these misrepresentations in real life.
- Provide general information about field of biostatistics
- Provide an understanding of different types of biases and misrepresentations that can occur in biostatistics
- Demonstrate the significance of biostatistics, as well as the consequences of misrepresentation, through case studies and real life examples