Log in
Registerhow to construct confidence interval for un-transformed metric? [Power / Sample Size]
Dear all,
For clinical endpoints, I suppose the log-normal distribution doesn't hold, therefore I should use un-transformed data to construct the 90% confidence interval? Then it would be the confidence interval of mean Test/Reference ratio? Am I correct?
But then, would the acceptance limits become 80% to 120% instead? If somebody could help me out, it would be greatly appreaciated!!
Thanks!
For clinical endpoints, I suppose the log-normal distribution doesn't hold, therefore I should use un-transformed data to construct the 90% confidence interval? Then it would be the confidence interval of mean Test/Reference ratio? Am I correct?
But then, would the acceptance limits become 80% to 120% instead? If somebody could help me out, it would be greatly appreaciated!!
Thanks!
Complete thread:
- how to construct confidence interval for un-transformed metric?lizhao 2016-02-17 19:01
![[Mix]](https://static.bebac.at/img/mix.png "open in Mix view")
- how to construct confidence interval for un-transformed metric? jag009 2016-02-17 20:43
- how to construct confidence interval for un-transformed metric? mittyri 2016-02-17 22:34
- Fieller’s confidence interval Helmut 2016-02-18 13:38
- Fieller’s confidence interval lizhao 2016-02-22 20:20
- Fieller’s confidence interval yjlee168 2016-02-23 08:23
- Rescue approaching – PowerTOST d_labes 2016-02-23 09:08
- Rescue approaching – PowerTOST Weidson 2024-11-28 23:15
- Why not base 🇷? Helmut 2024-12-03 13:39
- Why not base 🇷? Weidson 2025-02-15 20:42
- Why not base 🇷? Helmut 2024-12-03 13:39
- Rescue approaching – PowerTOST Weidson 2024-11-28 23:15
- Fieller’s confidence interval lizhao 2016-02-22 20:20
- Fieller’s confidence interval Helmut 2016-02-18 13:38
Ing. Helmut Schütz