Center for Evidence Synthesis in Health

Technology

Technology

Our team doesn’t just conduct evidence synthesis. We also develop software, methods and courses that make it easier for our peers to do this kind of research.

All of our tools are free, open source, and available to anyone. We also offer consultations for companies or individuals who want to know more about our work.

Turnkey software

Are you looking for software to help you streamline and organize your systematic reviews? We've developed these free, open-source programs.

Abstrackr

Abstrackr helps you upload and organize the results of a literature search for a systematic review. It also makes it possible for your team to screen, organize, and manipulate all of your abstracts in one place.

SRDR+

SRDR+ (The Systematic Review Data Repository: Plus) is a tool for extracting, managing, and archiving data. It is an open and searchable archive of systematic reviews and their data.

Research Core

Code, data or other additional information associated with various publications.

Appendix for Treatments for Primary Squamous Cell Carcinoma

Appendix: Treatments for primary squamous cell carcinoma and squamous cell carcinoma in situ of the skin: a systematic review and network meta-analysis

Technical Appendix for Urinary Incontinence (Annals of Internal Medicine)

Network Meta-Analysis Model and Code 
Associated papers: Pharmacologic and Nonpharmacologic Treatments for Urinary Incontinence in Women: A Systematic Review and Network Meta-analysis of Clinical Outcome

Technical Appendix for NMSC

Network Meta-Analysis Model and Code 
Associated papers: Appendix G. Network Meta-Analysis Model and Code     

ACL 2014 (irony)

Data (& code) for our ACL 2014 paper 
Associated papers: Humans Require Context to Infer Ironic Intent (so Computers Probably do, too)

JAS code

Source code for our Joint, Additive, Sequential model of topics and speech acts. 
Associated papers: A Generative Joint, Additive, Sequential Model of Topics and Speech Acts in Patient-Doctor Communication

Code for all-subsets meta-analysis

Stata c-plug-in to perform all-subsets meta-analysis. 
Associated papers: GOSH – a graphical display of study heterogeneity

Multiple time points

Stata code for "Meta-analysis of outcomes reported at multiple time points: a multivariate approach" 
Associated papers: Meta-analysis of effect sizes reported at multiple time points: A multivariate approach