Published on in Vol 11, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39414, first published .
The Roles of a Secondary Data Analytics Tool and Experience in Scientific Hypothesis Generation in Clinical Research: Protocol for a Mixed Methods Study

The Roles of a Secondary Data Analytics Tool and Experience in Scientific Hypothesis Generation in Clinical Research: Protocol for a Mixed Methods Study

The Roles of a Secondary Data Analytics Tool and Experience in Scientific Hypothesis Generation in Clinical Research: Protocol for a Mixed Methods Study

Journals

  1. Jing X, Patel V, Cimino J, Shubrook J, Zhou Y, Draghi B, Ernst M, Liu C, De Lacalle S. A Visual Analytic Tool (VIADS) to Assist the Hypothesis Generation Process in Clinical Research: Mixed Methods Usability Study. JMIR Human Factors 2023;10:e44644 View
  2. Jing X, Cimino J, Patel V, Zhou Y, Shubrook J, De Lacalle S, Draghi B, Ernst M, Weaver A, Sekar S, Liu C. Data-driven hypothesis generation among inexperienced clinical researchers: A comparison of secondary data analyses with visualization (VIADS) and other tools. Journal of Clinical and Translational Science 2024;8(1) View
  3. Jing X, Zhou Y, Cimino J, Shubrook J, Patel V, De Lacalle S, Weaver A, Liu C. Development, validation, and usage of metrics to evaluate the quality of clinical research hypotheses. BMC Medical Research Methodology 2025;25(1) View

Books/Policy Documents

  1. Payne P. Clinical Research Informatics. View
  2. Vibha , Pai R, Sumith N. Transfer, Diffusion and Adoption of Next-Generation Digital Technologies. View