Hi Phil, is there a textbook reference of converting odds ratios to percentages? I need to be able to reference the method for my thesis. Many thanks in advance.
thanks a lot for video :D I'v performed a binary logitic regression analysis with 2 independent (categorical) variables, the p valuse were significant but OR ratio were less then 1, what migth be the reason ? what does it mean please help ((
A really useful explanation - thank you for posting! Does the DV have to be coded 0 and 1 or can it be 1 & 2? As in, since it's nominal, does the actual number used for coding it make a difference?
Hi Phil, I've done a binary logistic regression analysis in SPSS and the outcome of goodness of fit (hosmer and lemeshow test) is significant (p.=000). Is this very problematic or can I accept this?
B is the unstandardized (regular) coefficient, and you take Exp(B) to get an interpretation of it in terms of odds ratio. I haven't seen applications of standardizing B. Indeed it seems out of the big stats packages, only SPSS gives standardized coeffcients by default. There are reasons for not using standardized coefficients - see for example, John Fox's Applied Regression Analysis.
Hi. You are talking about the Wald test - test for individual significance for each coeff. Yes, if not sig. from zero, then that regressor isn't linked to the probability of an event. However, interpreting the p-value is not as informative as looking at the confidence interval of the parameter estimates. In some journals (eg in health sciences) you'll see confidence intervals reported as well as p-values.
+Emily Joa Hi Emily. Interpreting the coefficient of a nominal (categorical) variable will be in the same manner it's done for standard regression - comparison of given group to the reference group.
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THANK YOU for putting it in writing as you would in a paper. This is immeasurably helpful and not common in other videos.
This comment made me watch to the end
it is very generous of you to make these videos. They are so helpful. Thank you.
Hi Phil, is there a textbook reference of converting odds ratios to percentages?
I need to be able to reference the method for my thesis. Many thanks in advance.
Please explain why you interpret that older person had lower chance of survival. What are indications in the data table?
Odds Ratio for age was less than 1. It means if age (independent variable) increases, then survival (dependent variable) decreases.
thanks a lot
nice clear and direct to the point
you helped me a lot
hope all statistical test are explained so
thanks a lot for video :D I'v performed a binary logitic regression analysis with 2 independent (categorical) variables, the p valuse were significant but OR ratio were less then 1, what migth be the reason ? what does it mean please help ((
A really useful explanation - thank you for posting! Does the DV have to be coded 0 and 1 or can it be 1 & 2? As in, since it's nominal, does the actual number used for coding it make a difference?
+Elaine Dutton we use 0(Not) and 1 (Yes) in DV.
Hi Phil, I've done a binary logistic regression analysis in SPSS and the outcome of goodness of fit (hosmer and lemeshow test) is significant (p.=000). Is this very problematic or can I accept this?
Hello, thanks for the video, i have a question, what does the "Wald" mean?
It's named after Abraham Wald who devised the test
@@PhilChanstats thanks a lot and how i interpret that value? Or how is it useful?
Its really helpful video
I just wanna ask in case OR=0 what does that mean? How can I interpret it? thanks a lot
OR can never be zero. Since it is the result of an exponential. OR can tend to zero. And tend to infinity
Thanks for your kind explanation. It`s really useful.
can u tell me... if 0 is dead or alive in ur model
i want to know about B in this table. Is it unstandardize beta coefficient?
should me standardize beta follow J.son E king
please tell me thank you
B is the unstandardized (regular) coefficient, and you take Exp(B) to get an interpretation of it in terms of odds ratio. I haven't seen applications of standardizing B. Indeed it seems out of the big stats packages, only SPSS gives standardized coeffcients by default. There are reasons for not using standardized coefficients - see for example, John Fox's Applied Regression Analysis.
thank you :))
Isn't it not statistically significant, so you wouldn't even interpret the results as you fail to reject the null hypothesis
Hi. You are talking about the Wald test - test for individual significance for each coeff. Yes, if not sig. from zero, then that regressor isn't linked to the probability of an event. However, interpreting the p-value is not as informative as looking at the confidence interval of the parameter estimates. In some journals (eg in health sciences) you'll see confidence intervals reported as well as p-values.
how is survived coded? is 0 survived or didn't survive?
Hi Harriet, 1 is survived. Briefly explained at 2:20 of the video.
thank you it is very useful
Why spss gives us output of odds ratio when it can easily calculate probability by it's own? It just makes a confusion in interpretation process...
Btw. Thanks for the video!
Um...that's a question for the software guys at SPSS!
What does IV mean?
Independent variable
thank you. Very useful vid.
I love how the Nagelkerke score is like .023
Yes, also the classification in Block1 shows that the IVs have basically no predictive power.
What about a categorical independent variable?
+Emily Joa Hi Emily. Interpreting the coefficient of a nominal (categorical) variable will be in the same manner it's done for standard regression - comparison of given group to the reference group.
sir
Urgh. Dry mouth.