Very good question - the data themselves are discrete, so cannot be normal distributed. However, the log odds ratios are roughly normal distributed, hence you can calculate the 95% confidence interval of the log odds ratio. Note - the odds ratio is NOT normal distributed - that’s why you have to do the log-transformation.
Glad I found this video. Thanks for the help from 🇮🇪❤️
Excellent work Peter! This is very helpful.
So well explained! Thank you :-)
thank you
Thank you very much this was really helpful
Please do we use this only if the data is normally distributed? I ask so because i am not sure when to use the 95% confidence interval or the p value
Very good question - the data themselves are discrete, so cannot be normal distributed. However, the log odds ratios are roughly normal distributed, hence you can calculate the 95% confidence interval of the log odds ratio. Note - the odds ratio is NOT normal distributed - that’s why you have to do the log-transformation.
How did the -0.37 come about
Please how did you get 1.96
Thank you so much
Thank you very much. This was helpful 🥺❤
Ln 0.6894
Thankyou so much 🙏🏻☺️
Hi Doc. Where did de 1.96 came from? Thank you
Its z score for 95 % confidence interval value from table.
Thankyou Soo much
Where did 0.37 came from?
It’s the value of ln(0,689).. type that in the calculator and u will get it -0.37