Excellent and clear example. Will use for my Public Health students who find this quite confusing. The final section on LL and selection of model complexity is VERY useful.
Two research articles breaking down the difference between the two: www.ncbi.nlm.nih.gov/pmc/articles/PMC3518362/ academic.oup.com/ntr/article/23/8/1446/5812038 Quick synopsis: Multivariate = more than 1 outcome (more than one dependent variable); Multivariable = one outcome (one dependent variable)
Thank you for the message. The link in this video description should now be working. The NCRM website was temporarily offline for a few days at the end of December 2021, while maintenance work was carried out, but the website is now back online.
Thank you for sharing, it's wonderfully explained. I would like to ask, in the probability equation, the value of having 2 children is -0.056. Isn't it supposed to be -0.06?
Excellent and clear example. Will use for my Public Health students who find this quite confusing. The final section on LL and selection of model complexity is VERY useful.
So helpful, there's so little resources online on multiple logistic regression
👋🏽👋🏽👋🏽👋🏽 wonderful!
I'm confused ,is it called Multivariate or Multivariable ?
Two research articles breaking down the difference between the two:
www.ncbi.nlm.nih.gov/pmc/articles/PMC3518362/
academic.oup.com/ntr/article/23/8/1446/5812038
Quick synopsis: Multivariate = more than 1 outcome (more than one dependent variable); Multivariable = one outcome (one dependent variable)
The link for the NCRM online resources for this topic is unavailable. Is there an alternative link
Thank you for the message. The link in this video description should now be working. The NCRM website was temporarily offline for a few days at the end of December 2021, while maintenance work was carried out, but the website is now back online.
Thank you for sharing, it's wonderfully explained. I would like to ask, in the probability equation, the value of having 2 children is -0.056. Isn't it supposed to be -0.06?
Hey, yes, I think she just rounded the result in the table to -0.06, but in reality it is -0.056, which is why she used this value for the equation.