Adaptive designs in clinical trials
2011

Adaptive Designs in Clinical Trials

publication Evidence: moderate

Author Information

Author(s): Bowalekar Suresh

Primary Institution: PharmaNet Clinical Services Pvt. Ltd.

Hypothesis

Can adaptive designs improve the efficiency and effectiveness of clinical trials?

Conclusion

Adaptive designs have the potential to reduce patient numbers and trial duration while maintaining scientific integrity.

Supporting Evidence

  • Adaptive designs can lead to fewer patients being needed in trials.
  • These designs allow for mid-course adjustments based on data collected during the trial.
  • Regulatory bodies are increasingly supportive of adaptive trial designs.

Takeaway

Adaptive designs in clinical trials allow researchers to change the study as it goes along based on what they learn, which can save time and resources.

Methodology

The paper describes various adaptive designs and their feasibility based on stakeholder views.

Potential Biases

Risks include conducting unplanned interim analyses and adjusting final p-values without proper justification.

Limitations

The complexity of Bayesian approaches and potential for bias in unplanned interim analyses.

Digital Object Identifier (DOI)

10.4103/2229-3485.76286

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