# Recent content by ondansetron

1. ### Graduate Certificate vs second Bachelors

This is only my opinion. If you want true understanding not only of what you learn formally but a deeper ability to teach yourself new methodology and theory (which happens a lot once you’re out of a degree program), and if you’re truly passionate about statistics, I would suggest the bachelors...
2. ### Can I use Multiple Regression on my data?

So FOC is frequency of checking, and is the dependent variable, I would say you could use an ordinal logistic regression (not a linear regression model). Both can be "multiple" in the sense that they can employ more than one x variable (predictor). For FOC, do you only have responses as "never"...
3. ### Can I use Multiple Regression on my data?

@hlsmith makes a good point. How is "frequency of new mother checks" defined and measured? Is it total checks in a 24-hour period? is it the number per hour? better explanation will be useful in making sure the model is specified appropriately since it sounds like a bounded count would be the...
4. ### Regression Analysis

You can have severe MC in the presence of individually significant coefficients, but overall, the VIF or tolerance should only be one piece in the puzzle and you need to decide if prediction or inference is more your goal. If prediction, I think the bigger concern is that the pattern of MC holds...
5. ### Regression Analysis

In a way, this would be a way to check the so-called instability of the coefficients. Imagine I fit a model of y-hat = b0 + b1X1 + b2X2 where bi is the estimated beta coefficient for the i-th independent variable. Suppose X1 and X2 are problematically collinear. The estimate of b1 with...
6. ### How much of Science is based on Statistics

I'm referring to the TV shows and news articles where I have seen people treat the p-value as an error probability/probability that higgs boson was a fluke. Those are totally incorrect interpretations of p-values...
7. ### Regression Analysis

VIF <10 should not be the only criterion, nor is 10 necessarily “the” value to start worrying about multicollinearity. You should check for estimate instability and compare the sign and magnitude of estimates with what’s expected by theory and see how these fluctuate or change when some...
8. ### How much of Science is based on Statistics

An that the p-value they note is often misinterpreted (I've seen it as .00005 chance [or whatever number] that it's a fluke, which we know is a bogus interpretation).
9. ### Thoughts on Multicollinearity

I think, in general, the issue of MC is pretty interesting, but is also quite confusing for people outside of stats who don't have the insight you're getting in your MS program. I think I've been taught that even "relatively" lower VIFs or things like that can still occur with MC because it...

I don't think you've properly defined the question to a formalized hypothesis. How are you going to judge superiority? The bold text is also a giant problem in medicine that comes up often-- we want to know how to analyze the data without knowing clearly the question being answered. The question...
11. ### probability of 3 close family members all having an eye disease

Well, right, of course your wife would be independent of you, but the point is who are you asking about? Your wife, her brother and you, for example is different from you your son and your daughter. (Since you are trying to generalize the question.)
12. ### Regression analysis across multiple data sets

I don't have anything to disclose, this is just a free, good, lower-level explanation and video: https://thecraftofstatisticalanalysis.com/random-intercept-random-slope-models then watch this https://thecraftofstatisticalanalysis.com/fixed-random-factors
13. ### Regression analysis across multiple data sets

might want to consider first dimension reduction or penalized regression since you have so many potential predictors. I would start with theory (i.e. higher free cash flow to equity is theoretically associated with stock price being higher, all else constant, and FCF to the firm is associated...
14. ### Regression analysis across multiple data sets

You'll want to look into a mixed model, then. Treat a company as a random effect. What is the outcome of interest?
15. ### probability of 3 close family members all having an eye disease

I think @Dason is making the point that the 1/10,000 might be a marginal probability (think of disease prevalence in the general population or lifetime incidence or something to that effect), but these are not independent cases because family members are genetically linked and the probability of...