Comparative Effectiveness Research

RWE Methods · Comparative Effectiveness

Comparative Effectiveness Research

14 to 15 October 2026Hampton Inn by Hilton, Boston Seaport, USA

Comparative effectiveness research (CER) compares treatments as they are used in real practice, to show which works better, for whom, and at what value.

CER and the real-world methods behind it are central to the agenda at RWE Connect 2026 in Boston.

Get the RWE Study Methods Primer
A plain-English guide to the core methods. Instant download, three fields.










    Free. Instant download. No obligation.

    150+Attendees
    60%Director / VP and Above
    40+Speakers
    200+Meetings Facilitated

    The approaches

    Approaches to Comparative Effectiveness Research

    CER draws on several designs, each suited to a different question and data situation. These are the main approaches.

    Pragmatic Randomized Trials
    Randomized trials run under routine, real-world conditions.
    Observational Cohort Studies
    Comparing treatments as they are used in real care.
    Target Trial Emulation
    Designing an observational study to mimic a randomized trial.
    Network Meta-Analysis
    Indirect comparison across many trials at once.
    External Control Arms
    Real-world comparators for single-arm trials.
    Registry-Based Studies
    Comparisons drawn from disease and product registries.

    The distinction

    Effectiveness vs Efficacy

    CER answers a different question from a classic explanatory trial. One asks what can work; the other asks what does work.

    Efficacy (Explanatory Trials)

    • Controlled, ideal conditions
    • Narrow, selected patients
    • Strong internal validity
    • Answers: can it work?

    Effectiveness (CER)

    • Routine, real-world conditions
    • Broad, representative patients
    • Strong external validity
    • Answers: does it work in practice?

    CER often uses real-world data, so it relies on careful design and methods to reduce bias. See observational studies for the designs behind it.

    How it works

    How a CER Study Works

    Good comparative effectiveness research follows a disciplined path from question to decision.

    Step 1
    Define the QuestionThe treatments and outcomes to compare.
    Step 2
    Choose the DesignA pragmatic trial, cohort or target trial emulation.
    Step 3
    Select Fit-for-Purpose DataReal-world data that suits the comparison.
    Step 4
    Control ConfoundingPropensity scores and active-comparator designs.
    Step 5
    Analyze & TestEstimate effects and run sensitivity checks.
    Step 6
    Interpret for DecisionsEvidence for regulators, payers and clinicians.

    Getting it right

    Keeping CER Reliable

    Because CER often compares treatments in observational data, its credibility rests on the methods that keep bias out.

    New-User, Active-Comparator
    Compare comparable patients starting comparable treatments.
    Propensity Score Methods
    Balance measured confounders through matching or weighting.
    Target Trial Emulation
    Pre-specify eligibility, treatment and outcomes like a trial.
    Sensitivity & Bias Analysis
    Test how robust the findings are to unmeasured confounding.
    Negative Controls
    Use outcomes with no plausible link to detect hidden bias.
    Transparency & Pre-Registration
    Pre-specify and report methods so the analysis is reproducible.

    The impact

    What CER Informs

    Comparative effectiveness evidence shapes decisions across the healthcare system.

    Regulatory Decisions
    Evidence for approvals, labels and post-market commitments.
    HTA & Payer Decisions
    Value and reimbursement, from HTA bodies to payers.
    Clinical Guidelines
    Which treatment to recommend, and for whom.
    Formulary & Coverage
    What payers and systems choose to cover.
    Treatment Sequencing
    The order in which therapies are used.
    Shared Decision-Making
    Informing choices between clinicians and patients.

    The direction of travel

    Where CER Is Heading in 2026

    CER is being reshaped by better methods and richer data. These are the shifts to watch, and debates on the agenda at RWE Connect 2026.

    Target Trial Emulation
    The framework becoming the default for causal comparisons.
    AI-Assisted Confounding Control
    Machine learning for high-dimensional adjustment.
    External Control Arms
    Real-world comparators accepted in more submissions.
    Federated Multi-Database CER
    One protocol run across data networks.
    Regulatory-Grade RWE
    FDA and HTA guidance tightening design expectations.
    Pre-Registration & Transparency
    Pre-specified protocols and open code as the norm.

    Who is in the room

    Who Attends RWE Connect 2026

    A senior, focused audience of the people who design and commission comparative studies.

    60%Director / VP and Above
    Director / VP and AboveOther senior roles
    RWE & Real-World Data26%
    HEOR & Market Access22%
    Epidemiology & Biostatistics18%
    Clinical & Medical Affairs14%
    Regulatory, Payer & Policy12%
    Data Science & Analytics8%

    Seniority is confirmed: 150+ attendees, around 60% at Director or VP level and above. The functional mix shown is indicative; confirmed registration splits are shared with sponsors from the live delegate list.

    Sponsor RWE Connect 2026

    Meet the Evidence and Methods Buyers in Boston

    The teams that design and commission comparative studies gather at RWE Connect 2026: 150+ attendees, around 60% at Director or VP level and above.

    Reach the BuyersRWE, HEOR, epidemiology and biostatistics leaders who commission comparative studies.
    Pre-Scheduled 1:1 MeetingsName the buyers you want; the Partnering Lounge books the meetings before the doors open.
    Demos and SpeakingShow your methods, data and case studies to the teams who use them.

    RWE Connect 2026

    Get the RWE Study Methods Primer

    A plain-English guide to the core real-world evidence methods, including comparative effectiveness. See the methods, then meet the people applying them in Boston.

    • The core RWE study designs
    • How to keep comparisons reliable
    • Where the methods are heading in 2026

    Interested in sponsoring? See sponsorship options

    Get the RWE Study Methods Primer
    Instant download. Three fields.










      Free. Instant download. No obligation.

      Comparative Effectiveness Research: Common Questions

      What is comparative effectiveness research?

      Comparative effectiveness research (CER) compares the benefits and harms of different treatments as they are used in real practice, to show which works better, for whom, and at what value.

      What is the difference between efficacy and effectiveness?

      Efficacy is whether a treatment can work under ideal, controlled trial conditions. Effectiveness is whether it does work in routine, real-world practice. CER focuses on effectiveness.

      How is CER different from a randomized controlled trial?

      A randomized trial tests efficacy under controlled conditions. CER often uses real-world data and observational or pragmatic designs to compare treatments as they are actually used, relying on methods to reduce bias.

      What methods are used in CER?

      Pragmatic randomized trials, observational cohort studies, target trial emulation, network meta-analysis, external control arms and registry-based comparisons.

      What is target trial emulation?

      Target trial emulation designs an observational study to mimic the randomized trial you would ideally run, specifying eligibility, treatment strategies and outcomes up front to reduce bias.

      How do you control for confounding in CER?

      Through new-user active-comparator designs, propensity score methods, target trial emulation, sensitivity analyses and negative controls, supported by fit-for-purpose data.

      What is network meta-analysis?

      Network meta-analysis compares multiple treatments indirectly by combining evidence from many trials, even when they were not compared head to head.

      Is CER accepted by regulators and payers?

      Yes. CER informs regulatory, HTA and payer decisions when the study design, methods and underlying data are fit for the question, within the FDA real-world evidence framework.

      What data is used for comparative effectiveness research?

      Electronic health records, administrative claims, registries and linked real-world data, alongside pragmatic trial data, chosen to fit the comparison being made.

      Who uses comparative effectiveness research?

      Regulators, HTA bodies and payers, clinical guideline developers, and pharmaceutical HEOR and medical teams use CER to decide which treatment delivers better outcomes and value.

      What is RWE Connect 2026?

      RWE Connect 2026 is a two-day real-world evidence summit in Boston bringing together the RWE, HEOR and methods leaders who generate and apply real-world evidence, with 40+ speakers and 150+ attendees.

      When and where is RWE Connect 2026?

      14 to 15 October 2026 at the Hampton Inn by Hilton, Boston Seaport District, Boston, MA.

      Join the Movement. Shape the Future.

      Be part of a community that’s redefining how the world measures healthcare impact.

      Join us at RWE Connect 2026
      where data meets decisions.

      Get Your Complimentary Delegate Pass◆Get Your Complimentary Delegate Pass◆Get Your Complimentary Delegate Pass◆Get Your Complimentary Delegate Pass◆Get Your Complimentary Delegate Pass◆Get Your Complimentary Delegate Pass◆