Mimicking Clinical Trials Using Real-World Data: A Novel Method and Applications.

Introduction: Simulating individual-level trial data when only summary data are available is often useful for meta-analysis, forming external control arms and calibrating trial results to real-world data (RWD). The joint distribution of baseline characteristics in a trial is usually simulated by combining its summary data with RWD's correlations. However, RWD correlations may not be a perfect proxy for the trial.

Racial Disparities in Access to Prostate Cancer Clinical Trials: A County-Level Analysis.

Background: African American men have a higher burden of prostate cancer compared with other populations. We sought to determine if they experience disparities in access to prostate cancer clinical trials.

Methods: We created a database of all US counties by linking prostate cancer clinical trial data with county-level socioeconomic, demographic, and health-care facility data derived from several external data sources.

Return of incidental findings in genomic medicine: measuring what patients value--development of an instrument to measure preferences for information from next-generation testing (IMPRINT).

Purpose: Little is known about the factors that influence patients' preferences for the return of incidental findings from genome sequencing. This study identified attributes of incidental findings that were important to patients and developed a discrete-choice experiment instrument to quantify patient preferences.

Methods: An initial set of key attributes and attribute levels was developed from a literature review and in consultation with experts.