Omg just the right explanation im looking for. My professor introduced everything out of thin air and it was hard to put pieces together even though I have some backgrounds on logistic regression.
Thanks simple videos to understand. Helps with many basic concepts....sometimes requiring review. hope to see more. Taking Categorical Data Analysis in the Spring....Doctoral level and I am not a Biostats major in Public Health....I am Epi. Looking forward to watching all to help review basic concepts I may have let go of.
Hi, many thanks for your message and kind words. If you are willing it would be great to see your syllabus; this would allow me to add these videos to the list. Best, Ben
Thanks for showing but when doing 1-p. When you say the num and denim simplifying to one (you circled in purple) isn’t it just the number values of e^betas positive and negative values equaling zero then leaving you with 1/1+e^betas.
Is the logistic regression part of GLM? Do you have videos explaining other GLM models in which the dependent variable follows other non-normal distributions, such as Gamma, poisson, negative binomial? Thank you!
this is not correct definition of odds ratio. p/1-p is odds, not odds ratio. odds ratio is altogether a different thing than odds. When you have a categorical predictor variable X and target variable Y, odds ratio is the ratio of odds . odds ratio=(odds of Y when X=1)/ (odds of Y when X=0) Please research and correct me if I am wrong.
I am not sure I understand this correctly, specifically why your X is binary which is not necessary in Logit. Could you please review your comment and elaborate, if accurate?
Also, are you ever available for questions? Answered by video of course. In the U.S.. we have language barriers unless one is of Asian or Indian descent.
Hi, yes I am. I am also looking into getting my videos transcribed to help people with non-native English to understand the videos better. Many thanks, Ben
A 5 mins lecture >>>>>> An 1 hour and a half in class lecture. Mind blowing. Thank you.
Ben Lambert certainly has one of the best TH-cam channels ever
Omg just the right explanation im looking for. My professor introduced everything out of thin air and it was hard to put pieces together even though I have some backgrounds on logistic regression.
Great explanation there. Can't believe this was posted way back in 2013. Still relevant nearly 10 years later!
Excellent explanation! Always come to your channel when I got confused in class! Thank you so much : )
Cheers Ben, this cleared up my understanding wonderfully!
Can't stress enough how gratefoul I'm woth you kind Sir, my college degree in economics will be dedicated to you
Very nice. Please raise the audio volume, its very difficult to follow on my laptop.
So to make sure; one can say that log of the odds is equivalent to the dot product (wT dot X) which is where we get our linear combination?
Thanks simple videos to understand. Helps with many basic concepts....sometimes requiring review. hope to see more. Taking Categorical Data Analysis in the Spring....Doctoral level and I am not a Biostats major in Public Health....I am Epi. Looking forward to watching all to help review basic concepts I may have let go of.
Hi, many thanks for your message and kind words. If you are willing it would be great to see your syllabus; this would allow me to add these videos to the list. Best, Ben
Thanks for showing but when doing 1-p. When you say the num and denim simplifying to one (you circled in purple) isn’t it just the number values of e^betas positive and negative values equaling zero then leaving you with 1/1+e^betas.
Thank you very much professor Lambert that was very helpful.
Your video is 'To the point'
Is this about log of odds, not log of odds ratio? I believe odds is different from odds ratio.
they are same i think
No. Logit is log odds. Odds ratio is a ratio of odds
Is the logistic regression part of GLM? Do you have videos explaining other GLM models in which the dependent variable follows other non-normal distributions, such as Gamma, poisson, negative binomial? Thank you!
th-cam.com/video/J4zNmGqttVo/w-d-xo.html
How to explain about linear regression and linear regression in interviewer frequently asking this questions could you make the video
this is not correct definition of odds ratio. p/1-p is odds, not odds ratio.
odds ratio is altogether a different thing than odds. When you have a categorical predictor variable X and target variable Y, odds ratio is the ratio of odds .
odds ratio=(odds of Y when X=1)/ (odds of Y when X=0)
Please research and correct me if I am wrong.
I am not sure I understand this correctly, specifically why your X is binary which is not necessary in Logit. Could you please review your comment and elaborate, if accurate?
Also, are you ever available for questions? Answered by video of course. In the U.S.. we have language barriers unless one is of Asian or Indian descent.
Hi, yes I am. I am also looking into getting my videos transcribed to help people with non-native English to understand the videos better. Many thanks, Ben
how can we find beta0,beta1 values
Using maximum likelihood
this was very helpful; thanks!
Thank you!
Thank you
Nice!
Thanks :)
👍