IMO, this is a prime example of what Ronán Michael Conroy recently described (in another thread) as a JUNK QUESTION. What do you hope to learn that you cannot learn from a simple search using Google, Duck-Duck-Go, or some other search engine? (I find it hard to imagine that you have access to ResearchGate, but not to any search engines.)
PS- Here is the other thread I mentioned above. See Ronan Conroy's Jan 15 post.
- https://www.researchgate.net/post/Biostatistics_is_rapidly_evolving_with_several_key_trends_shaping_its_current_landscape
Bruce Weaver I totally agree with you. This is a typical example of a junk question. The poster must be able to find the answer to his question in numerous texts, websites, etc. rather than pollute the RG.
Linear regression is used to predict continuous values while logistic regression can be used to predict both categorical and continuous values, but it is widely used as a classification algorithm. Regression models aim to predict value based on independent features. The main difference that makes both of them different from each other is when the dependent variables are binary or ternary i.e. categorical then logistic regression is used whereas when the dependent variables are continuous then linear regression is used.
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