Real-World Evidence Study

Real-World Evidence · Study Design

Designing a Real-World Evidence Study

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

A real-world evidence study turns routine healthcare data into a credible answer, but only if it is designed with the same rigor as a trial.

The craft of designing these studies is a core thread at RWE Connect 2026 in Boston.

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

    Why design matters

    The Study Is Only as Good as Its Design

    A real-world evidence study draws on data generated by routine care, not a controlled trial. That makes it powerful and representative, but also vulnerable to bias if it is not designed carefully.

    Good design is what separates a credible real-world study from a misleading one. It applies the RWE methods toolkit to a specific question, and it underpins everything from HEOR to regulatory submissions.

    The options

    Types of Real-World Evidence Study

    Different questions call for different designs. These are the workhorses of real-world research.

    Retrospective Cohort
    Look back at data already collected.
    Prospective Cohort
    Follow patients forward from a start point.
    Case-Control
    Compare those with and without an outcome.
    Cross-Sectional
    A snapshot of a population at one time.
    Registry-Based
    Use structured, ongoing registry data.
    Pragmatic Trials
    Trials run in real-world conditions.

    How to do it

    Designing the Study, Step by Step

    A well-designed study is built in a deliberate order, with the target trial as its north star.

    Step 1
    Frame the QuestionA precise, answerable research question.
    Step 2
    Emulate a Target TrialDesign as if mimicking the ideal trial.
    Step 3
    Choose Fit-for-Purpose DataData adequate for the question.
    Step 4
    Define Population & OutcomesClear eligibility and endpoints.
    Step 5
    Plan Bias ControlConfounding, time zero and adjustment.
    Step 6
    Pre-Specify & AnalyzeLock the protocol, then run it.

    The decisions

    Key Design Choices

    A handful of choices shape the credibility of the whole study. Each deserves careful thought.

    Study Design
    The design that fits the question.
    Data Source
    Fit-for-purpose real-world data.
    Eligibility & Time Zero
    Who is in, and when follow-up starts.
    Exposure & Outcomes
    Clear, consistent definitions.
    Confounder Control
    Balancing the factors that distort results.
    Sensitivity Analyses
    Testing how robust the findings are.

    What to watch for

    Common Pitfalls in RWE Studies

    Most flawed real-world studies fall into a few well-known traps. Knowing them is the first line of defense.

    Immortal Time Bias
    Misclassified follow-up time flatters results.
    Confounding
    Hidden factors distorting the comparison.
    Selection Bias
    A study group that is not representative.
    Misclassification
    Exposures or outcomes recorded wrongly.
    Data Gaps
    Missing information that skews the result.
    No Pre-Specification
    Analysis decisions made after seeing data.

    The direction of travel

    Where RWE Study Design Is Heading in 2026

    Study design is being sharpened by new frameworks, richer data and better methods. These are the shifts on the agenda at RWE Connect 2026.

    Target Trial Emulation
    Designing to mimic the ideal trial.
    Tokenized Data
    Richer, linked patient-level datasets.
    Transparency & Registration
    Pre-registering study protocols.
    AI-Assisted Analysis
    Machine learning in design and analysis.
    Regulatory-Grade Design
    Studies built to meet agency standards.
    Causal Inference Methods
    Rigorous approaches to cause and effect.

    Who is in the room

    Who Attends RWE Connect 2026

    A senior, focused audience of the people who design and defend real-world studies.

    60%Director / VP and Above
    Director / VP and AboveOther senior roles
    RWE & Real-World Data26%
    Epidemiology & Biostatistics22%
    Clinical & Regulatory16%
    Data Science & Analytics14%
    HEOR & Market Access12%
    Research, Academia & Startups10%

    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 Study Designers in Boston

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

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

    RWE Connect 2026

    Get the RWE Study Methods Primer

    A plain-English guide to the methods behind a credible real-world study. See the methods, then meet the people applying them in Boston.

    • How to design around bias
    • What makes a study regulatory-grade
    • Where study design is heading in 2026

    Interested in sponsoring? See sponsorship options

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










      Free. Instant download. No obligation.

      Real-World Evidence Studies: Common Questions

      What is a real-world evidence study?

      A real-world evidence study uses data collected outside clinical trials, such as EHRs, claims and registries, to answer a question about how a treatment is used or how well it works in everyday practice.

      How do you design a real-world evidence study?

      Frame a clear question, emulate a target trial, choose fit-for-purpose data, define the population and outcomes, plan how to control bias, and pre-specify the analysis before running it.

      What are the types of real-world evidence study?

      Retrospective and prospective cohort studies, case-control studies, cross-sectional studies, registry-based studies and pragmatic clinical trials.

      What is target trial emulation?

      A framework that designs a real-world study to mimic the randomized trial you would ideally run, which helps avoid common biases and makes the results more credible.

      How is an RWE study different from a clinical trial?

      A clinical trial assigns treatment under controlled conditions. An RWE study observes treatment as it happens in routine care, so it needs careful design and methods to draw reliable conclusions.

      What data is used in a real-world evidence study?

      Electronic health records, administrative claims, disease registries, patient-reported and wearable data, and linked or tokenized datasets.

      How do you control bias in an RWE study?

      Through careful eligibility and time-zero definitions, propensity scores and adjustment for confounders, clear exposure and outcome definitions, and sensitivity analyses.

      What is immortal time bias?

      A design flaw where a period during which the outcome could not occur is misclassified, making a treatment look more effective than it is. Careful time-zero definition avoids it.

      What makes an RWE study regulatory-grade?

      Fit-for-purpose data, a pre-specified protocol, rigorous bias control, clear data provenance and transparent reporting, aligned with regulatory guidance.

      How do you avoid confounding?

      By measuring and adjusting for the factors that influence both treatment and outcome, using methods such as propensity scores, weighting and sensitivity analyses for unmeasured confounders.

      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.

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