Statsols Blog

15 Ways to Reduce Sample Size In Clinical Trials

How do you reduce sample size in clinical trials? Reducing sample size without losing power can be accomplished in one of three principles. This paper examines these methods and demonstrates 15 ways to reduce sample size in clinical trials.

Topics: Power & Sample Size Clinical Trials Reduce Sample Size

Why do phase III clinical trials fail?

Why do Phase III clinical trials fail and how can we improve them? Dr. Grignolo, PhD, Corporate Vice President of PAREXEL International, the multinational life sciences consulting firm, recently examined this issue in a paper titled: Phase III Trial Failures: Costly, But Preventable.

We have reviewed this journal and brought you the primary findings as they appeared in Applied Clinical Trials Volume 25, Issue 8 and also on appliedclinicaltrialsonline.com.

Topics: Power & Sample Size Phase III Failure

Making it personal: N-of-1 trials, allowing for individuality but not overdoing it

N-of-1 trials are the application of the machinery of randomised clinical trials to the individual patient. Episodes of treatment rather than individual patients become the fundamental unit of inference and patients are repeatedly randomised to an experimental and a control treatment (say) in order to establish the effect of treatment. Popular designs involve cycles of episodes of treatment with the patient being assigned to a random order within cycles. (Continued below)

Topics: Power & Sample Size Clinical Trials N-of-1 Trials Stephen Senn

Power Combined with Precision Helps Improve Sample Size Justification

 

Topics: Power & Sample Size

Why is Sample Size important?

Why Calculate Sample Size?

A good statistical study is one that is well designed and leads to valid conclusions. This however, is not always the case, even in published studies. In Cohen’s (1962) seminal power analysis of the journal of Abnormal and Social Psychology he concluded that over half of the published studies were insufficiently powered to result in statistical significance for the main hypothesis.

Topics: Power & Sample Size

nQuery Advisor + nTerim used to calculate sample size at St James Hospital, Dublin.

nQuery Advisor + nTerim was used to calculate sample size in a study conducted at St James Hospital, Dublin. The study evaluated the dose intensity and toxicities experienced by patients of normal and increased body mass index BMI treated with FOLFOX chemo- therapy, and demonstrated that overweight patients may tolerate doses based on actual body weight.

Topics: News & Events Power & Sample Size

Sample Size

What is Sample Size?

A good statistical study is one that is well designed and leads to valid conclusions. This however, is not always the case, even in published studies. In Cohen’s (1962) seminal power analysis of the journal of Abnormal and Social Psychology he concluded that over half of the published studies were insufficiently powered to result in statistical significance for the main hypothesis.

Topics: Industry News Power & Sample Size

Did you know?

 

 

Topics: Power & Sample Size

The DIA 2014 50th Annual Meeting

Next week from June 15-19, 2014, Statistical Solutions will be at the DIA 2014 50th Annual Meeting at the San Diego Convention Center, San Diego, CA.

 

Topics: Missing Data Industry News SOLAS for Missing Data Power & Sample Size

nQuery Advisor User Group for Clinical Trials.

We have created an nQuery Advisor user group for clinical trials on linkedIn.

The group has been created for exiting and future users of nQuery Advisor working in clinical trials to connect, support, share ideas, seek advice and draw from one anothers experiences.

Topics: Industry News Power & Sample Size