Sample Size Estimation in Bioequivalence? [Surveys]
Dear all,
on the occasion of recent discussions about software used for sample size estimation in BE I created a
with ten questions.
Attendance is anonymous and limited to one participation per device (i.e., same IP-address). If your institution has only one IP (like Novartis redirecting its 120,000+ employees to a single one in Basel…), sorry.
The survey should take about three minutes to complete.
The questions are:
If sample size estimation is not your cup of tea, consider inviting a responsible colleague.
I will post results mid June.
In the meantime I suggest this one.
Edit: 101 respondents as of 2020-10-23. Average time taken 3:30 minutes. THX!
on the occasion of recent discussions about software used for sample size estimation in BE I created a
with ten questions.
Attendance is anonymous and limited to one participation per device (i.e., same IP-address). If your institution has only one IP (like Novartis redirecting its 120,000+ employees to a single one in Basel…), sorry.
The survey should take about three minutes to complete.
The questions are:
- How do you estimate the sample size?
○ Sample size tables
○ Software
○ Both
- Which software do you use?
☐ Commercial (off-the-shelf, e.g., SAS Proc Plan, NQuery Advisor, PASS, StudySize, …)
☐ Open source (e.g., R-packages like PowerTOST, bear, …)
☐ Free (e.g., FARTSSIE, EFG, …)
☐ Web-based
☐ In-house (e.g., own SAS-macros, R, C, Excel-template, …)
☐ Optional: Please give the software you use most (incl. version, year of release)
┌──────────┐
└──────────┘ - How often do you update the software you use most?
○ Never
○ Occasionally
○ Regularly
○ I don’t want to disclose this information - Is the software you use most validated?
☐ IQ (Installation Qualification acc. to procedures provided by the vendor)
☐ OQ Type 1 (Operational Qualification acc. to procedures provided by the vendor)
☐ OQ Type 2 (Operational Qualification acc. to own pre-specified procedures)
☐ PQ (Performance Qualification)
☐ Comparison with sample size tables
☐ Cross-validated with other software
☐ Partly (i.e., only some of the procedures)
☐ No
☐ I don’t want to disclose this information
☐ Other approach (please specify) - Were you ever asked by a regulatory agency about software validation?
☐ Yes
☐ No
☐ I don’t want to disclose this information
☐ Optional: If you answered “Yes”, please give the year
┌─────┐
└─────┘ - Do you repeat the estimation in-house if provided by an external entity (CRO, sponsor, consultant)?
☐ Always
☐ Regularly
☐ Sometimes
☐ Never - Do you perform a Sensitivity Analysis in order to assess the impact on power if in the study values (e.g., T/R-ratio, CV, number of dropouts) will deviate from assumptions?
○ Never
○ Sometimes
○ Always
○ I don’t know what a Sensitivity Analysis is
○ I don’t want to disclose this information
- Do you increase the estimated sample size according to the expected dropout rate?
○ Yes (formula: n’ = n × (100 + dropout-rate in %) / 100)
○ Yes (formula: n’ = n / (100 – dropout-rate in %) × 100)
○ Yes (as provided by the software; I don’t know the formula)
○ Yes (chosen by management)
○ No (since the impact on power is limited) - Please give general problems that you faced in sample size estimation.
☐ Estimated sample size was substantially smaller/larger than expected
(compared to PARs / other studies)
☐ Result of re-assessment differed from the estimate given (by CRO, sponsor, consultant)
☐ Software, version, setup not given (by CRO, sponsor, consultant)
☐ Other (please give a short description)
┌───────────────────────────────┐
└───────────────────────────────┘ - Did you face problems with the software you use most?
☐ Planned design not available
☐ Only one design-variant provided (although alternatives exist)
☐ Methods based on simulations not reproducible (e.g., for reference-scaling)
☐ Operation is complicated
☐ User manual insufficient
(too short/verbose, methods not/poorly documented, lacking/outdated references, …)
☐ No
☐ Other (please specify)
┌───────────────────────────────┐
└───────────────────────────────┘
If sample size estimation is not your cup of tea, consider inviting a responsible colleague.
I will post results mid June.
In the meantime I suggest this one.
Edit: 101 respondents as of 2020-10-23. Average time taken 3:30 minutes. THX!
—
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
Helmut Schütz
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
Helmut Schütz
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- Sample Size Estimation in Bioequivalence?Helmut 2020-05-20 22:39 [Surveys]
- Evaluation ☑️ Helmut 2020-06-03 12:36