Precision in Endrényi L, Tóthfalusi L tables [Power / Sample Size]
Dear mittyri,
What do you mean by 'unfortunately'?
This sentence describes an investigation of how precise the simulated power values are.
Read the paragraph forward:
"The standard deviation of the simulated powers (20 values under each combination of CV, GMR and design, each with 10 000 sims; my insertion) was calculated under each condition; the mean of these standard deviations was 0.460. Thus, the precision of the power estimation is about ±0.5%."
They must have of course always choosen a different seed for the 20 repetitions under each combination of CV, GMR and design. Else you would get always the same result under each combination.
Of course they had also the opportunity to obtain a precision estimate via binomial distribution, without the burden of all that calculations. But then the random number generator had to be ideal.
BTW: Both Laszlos recommend to use PowerTOST if they were asked .
❝ here comes a magik (citing the paper):
❝ The precision of the estimation was evaluated by running the simulations twenty times at twenty-two different conditions (different CV’s, different GMR’s and different designs).
❝
❝
❝ Seed was sampled 'unfortunately' about 20 times?
What do you mean by 'unfortunately'?
This sentence describes an investigation of how precise the simulated power values are.
Read the paragraph forward:
"The standard deviation of the simulated powers (20 values under each combination of CV, GMR and design, each with 10 000 sims; my insertion) was calculated under each condition; the mean of these standard deviations was 0.460. Thus, the precision of the power estimation is about ±0.5%."
They must have of course always choosen a different seed for the 20 repetitions under each combination of CV, GMR and design. Else you would get always the same result under each combination.
Of course they had also the opportunity to obtain a precision estimate via binomial distribution, without the burden of all that calculations. But then the random number generator had to be ideal.
BTW: Both Laszlos recommend to use PowerTOST if they were asked .
—
Regards,
Detlew
Regards,
Detlew
Complete thread:
- Sample Size Estimation -Replicate design- BE limits cakhatri 2017-11-30 09:44 [Power / Sample Size]
- Reference-scaling: Don’t use FARTSSIE! Helmut 2017-11-30 10:58
- Reference-scaling: Don’t use FARTSSIE? Astea 2017-11-30 22:50
- Reference-scaling: Don’t use FARTSSIE! Helmut 2017-12-01 11:42
- Reference-scaling: USE PowerTOST Astea 2017-12-01 14:16
- Reference-scaling: USE PowerTOST cakhatri 2017-12-04 06:00
- Reference-scaling: USE PowerTOST Helmut 2017-12-04 15:07
- Reference-scaling: USE PowerTOST cakhatri 2017-12-05 05:33
- Reference-scaling: USE PowerTOST Helmut 2017-12-04 15:07
- Use PowerTOST d_labes 2017-12-06 09:52
- Use PowerTOST, not Endrényi L, Tóthfalusi L tables mittyri 2017-12-07 16:03
- Precision in Endrényi L, Tóthfalusi L tablesd_labes 2017-12-07 18:21
- Precision of PowerTOST mittyri 2017-12-08 22:56
- Precision of PowerTOST Helmut 2017-12-09 17:00
- Precision of PowerTOST mittyri 2017-12-09 21:05
- Precision of PowerTOST Astea 2017-12-10 00:10
- Precision of PowerTOST Helmut 2017-12-10 20:27
- Precision of PowerTOST Astea 2017-12-10 21:13
- Precision of PowerTOST Helmut 2017-12-10 20:27
- Precision of PowerTOST Astea 2017-12-10 00:10
- Precision of PowerTOST mittyri 2017-12-09 21:05
- Precision of PowerTOST Helmut 2017-12-09 17:00
- Precision of PowerTOST mittyri 2017-12-08 22:56
- Precision in Endrényi L, Tóthfalusi L tablesd_labes 2017-12-07 18:21
- Use PowerTOST, not Endrényi L, Tóthfalusi L tables mittyri 2017-12-07 16:03
- Reference-scaling: USE PowerTOST cakhatri 2017-12-04 06:00
- Reference-scaling: USE PowerTOST Astea 2017-12-01 14:16
- Reference-scaling: Don’t use FARTSSIE! Helmut 2017-12-01 11:42
- Reference-scaling: Don’t use FARTSSIE! pjs 2018-02-09 13:08
- Reference-scaling: Don’t use FARTSSIE! Helmut 2018-02-09 20:15
- Reference-scaling: Don’t use FARTSSIE? Astea 2017-11-30 22:50
- Reference-scaling: Don’t use FARTSSIE! Helmut 2017-11-30 10:58