Introduction to Ordinal Logistic Regression & Proportional Odds Assumption

Get Crystal clear understanding of Ordinal Logistic Regression.

To know step by step credit scoring, model design, multi collinearity treatment, variable selection, model validation etc, please refer to
-----------------
-------------------------------------

[LoizidesGeorge]

Gopal


Thanks a lot this saved much time!!


Regards


Γ
[next time you are in our mountainous region in Cyprus I "owe" you bbq :), Let me know]

[saugatadr]

After a long my coneption get cleared.Very nicely explained

[sethulakshmig]

Sir, your class is excellent. You explained very clearly. May I ask you one doubt? How to do validation of the ordinal logistic regression model?

[jaituteja]

Great Video... Really appreciate your effort towards sharing the knowledge..!!

[shubhamsinghania]

Thank you for the video sir, very well explained. I just want to come, if the Proportional Odds ratio is violated, can we use multinomial logisti9c regression keeping 0 as the base value as mentioned in the Agresti (2010) paper.

[kossonouprunelle]

Thank you for your explanation. I have 2 nominal and 2 ordinal variables as independent variables (4), and 2 ordinal likert-scale dependent variable. In this case should i use ordinal logistic regression or nominal logistic regression? Your reply will help me a lot. Thank you in advance

[aimanhalim]

Nicely explained. Thank you so much. :-)

[hemrajlamichhane]

Very nicely explained many thanks for the clarity

[niria]

I have a response variable called skin yellowness, which I will measure via a scored color chart, whereby 1 is pale yellow and 15 is orange. I'm not sure if this counts as an ordinal variable, because the scale is numerical and is basically a value for pigmentation (making it a numerical variable) or if it is ordinal, because the score suggests some sort of order. Can anyone help?

[shawnabid]

Helpful, the logarithmic aspect could be more clear!