Fit For Purpose RWD | Droice Labs

Fit For Purpose RWD

Explore the key elements that make RWD fit for purpose to address the research questions at hand – data relevance and reliability – and how to ensure RWD is fit for purpose for clinical trials.

Robust RWE Analyses

Use of Propensity Scoring and Its Application to Real-World Data: Advantages, Disadvantages, and Methodological Objectives Explained to Researchers Without Using Mathematical Equations

Paper

JCP

Robust RWE Analyses

Applying Quantitative Bias Analysis to Epidemiologic Data

Paper

Springer

RWD Validation

Validation of algorithms in studies based on routinely collected health data: general principles

Paper

AJE

RWD Reliability

Considerations for the Use of Real-World Data and Real-World Evidence to Support Regulatory Decision-Making for Drug and Biological Products

Guidance

FDA

RWD Reliability

RWD in SDTM is Unreliable, Until It Isn’t

Blog Post

RWD in SDTM

RWD Reliability

Know Thy Data: Trusting RWD in Common Data Models for Regulatory Submissions

Blog Post

Ktd

RWD Reliability

Real-World Data: Assessing Electronic Health Records and Medical Claims Data To Support Regulatory Decision-Making for Drug and Biological Products

Guidance

FDA

RWD Reliability

Determining Real-World Data’s Fitness for Use and the Role of Reliability

Paper

DMCHP