CIDA believes in providing exceptional biostatistics support. From start to finish we stand behind the research we conduct and support. Our signature is on everything we do, therefore we are invested in each project, grant and partnership. We work hand in hand with the investigator to ensure that the right designs and analyses are used so we can help answer the the age old question, What’s in your data?
"While I work with a lot of numbers and coding, my passion is derived by remembering that each line in a dataset represents a real person with a story and with a real hope for progress or answers."
"I enjoy how biostatistics combines science, math, and public health. Statistics allows us to make evidence-based arguments when making policy or medical decisions that affect people's lives."
"Developing a detailed plan is a great step, but developing a flexible, detailed plan is even better since something eventually will happen that you did not expect."
"A biostatistician has broad appeal in the sciences. We can help solve a lot of issues with study design and we can aid in the forming and interpreting the results."
"I have the freedom to explore my interests and grow within my field. The whole team is supportive of each other."
"Being involved in different aspects of medical research and learning a new statistical approach to tackle the analysis."
"Role models. It is awesome to hear my mentors, colleagues, and friends talk passionately about their research interests. I want to learn, study, and know more--because I want to emulate them."
"Statisticians understand data and what can and cannot be done with data. We can act as an objective third party to help with the design and implementation of your project in a way that will work."
"There's an incredible amount of data being generated and it has the power to change how we look at health and science."
"I analyze the data for research studies and investigators who are making the world a better place. There is a lot of research happening and I boil down a large complex question into an actionable result."
"A statistician is necessary at every step of the experimental process from determining an adequate sample size to seeing the effects expected, executing the appropriate model, and correctly interpreting the results."