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Evimed Health

Comparative Effectiveness Research

Assess how treatments perform against available alternatives in real-world settings.

Comparative charts on a laptop and tablet

Determining What Works Best in Real-World Practice

Clinical trials often demonstrate efficacy against placebo or controlled comparators. However, decision-makers frequently need evidence comparing treatment alternatives within routine healthcare settings.

Comparative Effectiveness Research (CER) evaluates the relative benefits and risks of different healthcare interventions.

Common Research Questions

  • Which treatment produces better outcomes?
  • What are the differences in healthcare utilization?
  • Which patients benefit most?
  • How do therapies perform in specific subgroups?

Methodologies

  • Propensity Score Matching

    Create balanced comparison groups.

  • Inverse Probability Weighting

    Reduce treatment-selection bias.

  • Multivariable Regression

    Adjust for confounding factors.

  • Time-to-Event Analyses

    Assess outcome occurrence over time.

Deliverables

What you receive at the end of a comparative effectiveness study.

Comparative Effectiveness Reports

How treatments compare when used in routine care.

Publication-Ready Results

Tables, figures and text ready for journal submission.

Clinical Outcome Analyses

Differences in clinical outcomes between treatment groups.

Economic Outcome Assessments

Costs and resource use compared across treatments.

Frequently Asked Questions

Short answers about epidemiology and real-world research.

Have a different question?

Our epidemiologists can talk through your research question and data needs.

What is comparative effectiveness research?

Comparative effectiveness research evaluates the relative benefits and risks of different healthcare interventions as they are used in routine care.

How does comparative effectiveness research differ from an RCT?

A randomized controlled trial compares treatments under controlled conditions. Comparative effectiveness research compares alternatives in everyday practice, often using real-world data.

What is propensity score matching?

Propensity score matching pairs patients with similar characteristics who received different treatments, creating balanced comparison groups in observational data.

What is inverse probability weighting?

Inverse probability weighting gives each patient a weight based on their chance of receiving their treatment, reducing treatment-selection bias.

What is a time-to-event analysis?

A time-to-event analysis studies how long it takes for an outcome to occur, such as hospitalization or progression, while accounting for follow-up time.

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