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Clarified language a bit more
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st94070
st94070
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I have not done a power analysis in a long time, but was asked to do so for a new study. The design is as follows:

  • At enrollment, every patient has no diagnosis because conventional testing did not detect any disease
  • The patients are then given a new test
  • The results of the new test is given to the clinician, who then makes changes to treatment as needed.
  • The clinician would then determine whether the test result had a postivie impact on clinical care for the patient (Yes or No)

The goal is to find out what is the sample size needed to detect a positive impact in 10%, 20%, 30%, or 40% in positive clinical impactof the patients. I'm a little confused as to how to do a power analysis based on percentage impact. Any guidance would be well appreciated!

I have not done a power analysis in a long time, but was asked to do so for a new study. The design is as follows:

  • At enrollment, every patient has no diagnosis because conventional testing did not detect any disease
  • The patients are then given a new test
  • The results of the new test is given to the clinician, who then makes changes to treatment as needed.
  • The clinician would then determine whether the test result had a postivie impact on clinical care for the patient (Yes or No)

The goal is to find out what is the sample size needed to detect a 10%, 20%, 30%, or 40% in positive clinical impact. I'm a little confused as to how to do a power analysis based on percentage impact. Any guidance would be well appreciated!

I have not done a power analysis in a long time, but was asked to do so for a new study. The design is as follows:

  • At enrollment, every patient has no diagnosis because conventional testing did not detect any disease
  • The patients are then given a new test
  • The results of the new test is given to the clinician, who then makes changes to treatment as needed.
  • The clinician would then determine whether the test result had a postivie impact on clinical care for the patient (Yes or No)

The goal is to find out what is the sample size needed to detect a positive impact in 10%, 20%, 30%, or 40% of the patients. I'm a little confused as to how to do a power analysis based on percentage impact. Any guidance would be well appreciated!

Clarified outcome measure
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st94070
st94070
  • 13
  • 3

I have not done a power analysis in a long time, but was asked to do so for a new study. The design is as follows:

  • At enrollment, every patient has no diagnosis because conventional testing did not detect any disease
  • The patients are then given a new test
  • The results of the new test is given to the clinician, who then makes changes to treatment as needed.
  • The clinician would then determine whether the test result had a postivie impact on clinical care for the patient (Yes or No)

The goal is to find out what is the sample size needed to detect a 10%, 20%, 30%, or 40% in positive clinical impact. I'm a little confused as to how to do a power analysis based on percentage impact. Any guidance would be well appreciated!

I have not done a power analysis in a long time, but was asked to do so for a new study. The design is as follows:

  • At enrollment, every patient has no diagnosis because conventional testing did not detect any disease
  • The patients are then given a new test
  • The results of the new test is given to the clinician, who then makes changes to treatment as needed.
  • The clinician would then determine whether the test result had a postivie impact on clinical care for the patient

The goal is to find out what is the sample size needed to detect a 10%, 20%, 30%, or 40% in positive clinical impact. I'm a little confused as to how to do a power analysis based on percentage impact. Any guidance would be well appreciated!

I have not done a power analysis in a long time, but was asked to do so for a new study. The design is as follows:

  • At enrollment, every patient has no diagnosis because conventional testing did not detect any disease
  • The patients are then given a new test
  • The results of the new test is given to the clinician, who then makes changes to treatment as needed.
  • The clinician would then determine whether the test result had a postivie impact on clinical care for the patient (Yes or No)

The goal is to find out what is the sample size needed to detect a 10%, 20%, 30%, or 40% in positive clinical impact. I'm a little confused as to how to do a power analysis based on percentage impact. Any guidance would be well appreciated!

Source Link
st94070
st94070
  • 13
  • 3

Sample size calculation for percent increase

I have not done a power analysis in a long time, but was asked to do so for a new study. The design is as follows:

  • At enrollment, every patient has no diagnosis because conventional testing did not detect any disease
  • The patients are then given a new test
  • The results of the new test is given to the clinician, who then makes changes to treatment as needed.
  • The clinician would then determine whether the test result had a postivie impact on clinical care for the patient

The goal is to find out what is the sample size needed to detect a 10%, 20%, 30%, or 40% in positive clinical impact. I'm a little confused as to how to do a power analysis based on percentage impact. Any guidance would be well appreciated!