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Oct 29 '21 at 9:00 history tweeted twitter.com/StackBiology/status/1454010136859717635
Oct 25 '21 at 19:42 history edited user68022 CC BY-SA 4.0
deleted 25 characters in body
Oct 25 '21 at 14:14 comment added jakebeal @Domen I disagree with your statement that "I also think that the question is not about biology or directly related to biology". Please note that critical portions of my answer have to do not just with data per se, but about thinking through the relationship between data and the underlying biological system (e.g., media effects, how OD measurements actually work).
Oct 25 '21 at 14:06 comment added Domen @jakebeal, I don't understand: Which part of my comment is it that you strongly disagree with? I don't see how your answer (below) contradicts with anything I said in the comment. In your answer, you advise to use more datapoints and obtain error estimations. But both of these are, once again, in the scope of how to properly estimate model parameter $k$. You see, everything you said in the answer will naturally follow from what I commented: When you start to think about how to properly estimate parameters, things like replicates, error estimations etc. will naturally emerge.
Oct 25 '21 at 10:55 answer jakebeal timeline score: 4
Oct 25 '21 at 10:21 comment added jakebeal @Domen tyersome I strongly disagree, and attitudes like yours generate a lot of terrible data-handling in biology papers that I read.
Oct 25 '21 at 7:47 answer Roger Vadim timeline score: 2
Oct 25 '21 at 3:29 comment added biologist_Jaishree If given a chance, I would prefer the first approach. Reasons being: It looks similar to a normal Bacterial growth curve ( I can see different phases lag, log etc.), Easy to track the growth pattern, easy to understand.
Oct 24 '21 at 20:11 comment added Domen @user68022, this seems to be a continuation to the/your question on MSE. I also think that the question is not about biology or directly related to biology (even after your edit), but falls under data analysis/statistics. You have clearly defined your model, which is a nonlinear model. You have also clearly defined $k$. Therefore, there is no question anymore about what $k$ is because you have defined it in your model. What remains is how to properly estimate $k$.
Oct 24 '21 at 19:56 history edited user68022 CC BY-SA 4.0
added 46 characters in body
Oct 24 '21 at 19:51 review Close votes
Oct 29 '21 at 3:02
Oct 24 '21 at 19:49 history edited user68022 CC BY-SA 4.0
edited title
Oct 24 '21 at 19:34 comment added tyersome Welcome to Biology.SE. I’m voting to close this question because this isn't really a biology question — it seems closer to statistics to me. Some questions for you: How much uncertainty is associated with each of the estimates? Based on that are they actually different answers? When measuring things you typically aren't finding the "correct value" you are estimating (with some amount of error). For details see the tour and help center pages starting with How to Ask questions effectively on this site.
S Oct 24 '21 at 17:35 review First questions
Oct 24 '21 at 19:34
S Oct 24 '21 at 17:35 history asked user68022 CC BY-SA 4.0