What is an interim analysis in a clinical trial?

What is an interim analysis in a clinical trial?

The term ‘interim analysis’ is used to describe an evaluation of the current data from an ongoing trial, in which the primary research question is addressed, and which has the potential for modifying the conduct of the study. …

What is the purpose of interim analysis in clinical trials?

An interim analysis compares randomised arms at any time point before the end of a phase 3 trial and usually occurs before recruitment is complete. It is especially appealing to the regulatory agencies and the sponsor, allowing for decisions and changes to be made in the middle of the study.

What are the methods to perform interim analysis?

The three most commonly used techniques are Pocock, Haybittle/Peto, and O’Brien/Fleming. The differences among the three techniques mostly concern how much of the alpha is spent and when. FIGURE 15.40. Statistical boundaries for interim analysis.

What is primary analysis in clinical trial?

The primary analyses are pre-specified in the protocol and the findings form the basis for recommendations and clinical decisions. They typically adhere to the intention-to-treat principle. Secondary analyses are supplemental and of various sorts.

What is Alpha in a clinical trial?

The alpha level is the probability that the population from which the sample of the experiment was randomly drawn derives no therapeutic benefit but misleads the investigators by producing an unrepresentative sample with 15% efficacy. We term this event the type I error event.

What is LAN DeMets alpha spending function?

The alpha spending function developed by Lan and DeMets (1983) is a more flexible group sequential procedure that does not require the total number nor the exact time of the interim analyses to be specified in advance. The key to using the alpha spending function is being able to define the information fraction.

What is meant by interim analysis?

In clinical trials and other scientific studies, an interim analysis is an analysis of data that is conducted before data collection has been completed. Clinical trials are unusual in that enrollment of subjects is a continual process staggered in time.

How is the alpha spending function used in clinical trials?

Motivated by experience of clinical trials, the alpha spending function is one way to implement group sequential boundaries that control the type I error rate while allowing flexibility in how many interim analyses are to be conducted and at what times.

How are interim analyses used in clinical trials?

Interim Analyses Group Sequential Procedures „Two extreme Cases „Single-stage (Fixed sample) „Classical Sequential „Intermediate Case Group sequential or multi-stage trials with some adjustments in typeⅠerror probabilities at successive stages.

When does the alpha spending function approach bias?

Regardless of whether a sequential, group sequential or alpha spending function approach is invoked, the estimates of a treatment effect will be biased when a trial is terminated at an early stage. The earlier the decision, the larger the bias.

When is part of the Alpha is spent?

In other words, every time an analysis is performed, part of the overall alpha is “spent”. For the r t h interim analysis, where the information fraction is τ r, 0 ≤ τ r ≤ 1, α ( τ r) determines the probability of any of the first r analyses leading to rejection of the null hypothesis when the null hypothesis is true.