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Updated: Apr 27, 2026

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Pre-study feasibility and identifying sensitivity analyses for protocol pre-specification in comparative

Cynthia J Girman1, Douglas Faries, Patrick Ryan

  • 1Comparative & Outcomes Evidence, Center for Observational & Real-world Evidence, Merck Sharp & Dohme, North Wales, PA 19454, USA.

Journal of Comparative Effectiveness Research
|June 28, 2014
PubMed
Summary
This summary is machine-generated.

Researchers can improve comparative effectiveness research (CER) by assessing data sources and pre-specifying sensitivity analyses. This ensures more valid and interpretable results from healthcare databases.

Keywords:
comparative effectivenessempirical equipoisefeasibilityobservational studypharmacoepidemiologysensitivity analysis

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Area of Science:

  • Health Services Research
  • Biostatistics
  • Epidemiology

Background:

  • Comparative Effectiveness Research (CER) utilizing healthcare databases is rapidly expanding.
  • Challenges include data source limitations, insufficient capture of outcomes, exposures, and confounders, and difficulties in minimizing bias.
  • Existing study designs often lack robust sensitivity analyses, with performed analyses typically being post hoc.

Purpose of the Study:

  • To propose pre-study steps for assessing the feasibility of CER.
  • To identify crucial sensitivity analyses that should be pre-specified.
  • To enhance the validity and interpretability of CER findings from healthcare databases.

Main Methods:

  • Development of a framework for pre-study feasibility assessment in CER.
  • Guidelines for identifying and pre-specifying key sensitivity analyses.
  • Focus on evaluating data source adequacy for research questions.

Main Results:

  • The proposed pre-study steps facilitate a systematic evaluation of healthcare databases for CER.
  • Pre-specification of sensitivity analyses enhances the robustness of study designs.
  • A proactive approach improves the likelihood of generating valid and interpretable CER results.

Conclusions:

  • Implementing pre-study feasibility assessments and pre-specifying sensitivity analyses are critical for rigorous CER.
  • This approach addresses key challenges in utilizing healthcare databases.
  • Ensuring data adequacy and analytical robustness leads to more reliable comparative effectiveness findings.