When it comes to analyzing healthcare data, dealing with missing data is a large part of the data cleansing step. In this podcast episode, I delve into the types of missing data and ways to manage missing data, within the scope of a data project.
Looking to secure your first role in health informatics? Get the step-by-step guide to help you through the process:
eBook: https://hlthanalyticinsights.gumroad.com/l/healthinformatics
Resources:
Dealing With Missing Data in Health Informatics: https://healthanalyticinsights.com/?p=1100
Video Resource on MCAR, MAR and MNAR: https://www.youtube.com/watch?v=YpqUbirqFxQ&ab_channel=StatswithMia
MICE vs PPCA: Missing data imputation in healthcare: https://www.sciencedirect.com/science/article/pii/S2352914819302783
Welcome to the Health Analytic Insights Podcast. This podcast is ALL about creating a community of like-minded individuals who are passionate about the field of health informatics. I hope to share information and advice in topics such as health analytics, digital health, biomedical engineering and data visualization in healthcare and in exchange I would love to hear from you DEAR listener about your experience and interest in this field, you can drop me a line at healthanalyticinsights@gmail.com.
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DISCLAIMER: The views expressed on this podcast are my own and do not reflect those of people, organizations or institutions that I might be associated with in a professional capacity, unless explicitly stated. The views expressed by the guests on this show are their own and may or may not reflect those of people, organizations or institutions that I might be associated with in a professional capacity, unless explicitly stated.
How To Work With Missing Healthcare Data Like A Pro