Your English writing platform
Discover LudwigSuggestions(2)
Exact(1)
Minimising sample size is particularly important for rare disorders where recruiting even 10 15 patients could take several months.
Similar(59)
Strategies that maximise recruitment, minimise sample size, or maximise the usefulness of the evidence could enable the application of conventional clinical trial design to rare cancer populations.
The last analysis in our study showed that there are optimal follow-up times which minimise the sample size needed per group if all infectious parameters and the fraction developing PID are fixed (Fig. 5).
This would be especially useful for studies of novel agents (where little is known about the treatment) or for rare disorders, where it is appropriate to minimise the sample size.
For constant progression to PID, a follow-up time of 294 days minimises the sample size needed to 4574 per group with a RR of 0.358 and a PID incidence of 0.0056 per year.
For progression to PID at the end, a follow-up time of 328 days minimises the sample size needed to 4106 per group with a RR of 0.359 and a PID incidence of 0.0063 per year.
The conventional optimal design, for given type 1 and type 2 error rates, is the one which minimises the expected sample size under the null hypothesis.
To minimise loss of sample size due to absenteeism, we administered the questionnaire on the day of an examination.
An obvious strength of our study is the rather large sample size minimising the chance of type I and II errors.
The first one minimises the expected sample size under the null hypothesis and is referred to as the 'optimal' design.
The effects of regression to the mean can be minimised by powering the sample size to account for regression to the mean and by using ANCOVA to adjust each follow-up measurement according to their baseline measurement40.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com