Resources and Tools

This page contains the various resources and tools that have been created by our group, our colleagues and the PRO community at-large. These are the links that we frequently send to each other, and want to make available more broadly. This list will be updated on a regular basis, as more are available and accessible to the public.

Patient-reported outcomes (PROs) resources: PROTEUS (toolbox of PRO resources): https://theproteusconsortium.org/

SISAQOL webtool: https://www.sisaqol-imi.org/interactive-webtool/

CONSORT-PRO extension (this website is currently being updated, all links can be found here): https://www.equator-network.org/

Project Patient Voice: https://www.fda.gov/about-fda/oncology-center-excellence/project-patient-voice

Oncology Center of Excellence Patient Focused Drug Development (OCE PFDD): https://www.fda.gov/about-fda/oncology-center-excellence/patient-focused-drug-development

EORTC Questionnaires: https://qol.eortc.org/questionnaires/

EORTC Item Library: https://qol.eortc.org/item-library/

FACT Questionnaires, Scoring & Item Library: https://www.facit.org/facit-measures-searchable-library

PROMIS: Intro to PROMIS: https://www.healthmeasures.net/explore-measurement-systems/promis/intro-to-promis

PROMIS Scoring: https://www.healthmeasures.net/promis-scoring-manuals

PROsetta Stone (cross walks PROMIS scores with other common questionnaires): http://www.prosettastone.org

PROPr (preference-based scores for use in cost-utility analyses and to estimate quality-adjusted life years [QALYs]): https://www.healthmeasures.net/score-and-interpret/calculate-scores/preference-based-scores

PRO-CTCAE: All about PRO-CTCAE: http://healthcaredelivery.cancer.gov/pro-ctcae/

Pediatric PRO-CTCAE: https://healthcaredelivery.cancer.gov/pro-ctcae/instrument-ped.html

ProAE (SAS macros for standard tables and graphics for PRO-CTCAE): https://github.com/DueckLab/ProAE-SAS

ProAE (R package for standard tables and graphics for PRO-CTCAE): https://cran.r-project.org/web/packages/ProAE/index.html

Adverse event (AE) analysis resources: ToxT SAS macros: http://bioinformaticstools.mayo.edu/research/toxt/

Blue Sky statistical software resources: Blue Sky is free point-and-click statistical software that operates on top of the R platform. R is a great platform to learn, but has a steep learning curve, so Blue Sky is a great way to tip toe into the R world of statistical computing!

Blue Sky homepage: https://www.blueskystatistics.com/product

Blue Sky video library (scroll down to refernce library section): https://www.blueskystatistics.com/ or access Blue Sky You Tube page: https://www.youtube.com/@blueskystatisticsllc6817"

Blue Sky user guide: https://r4stats.com/books/bluesky-statistics-user-guide/

R/R Studio resources: R main website: https://www.r-project.org/

R Studio (an interface for R) website: https://posit.co/download/rstudio-desktop/

R Studio cheat sheets: https://www.rstudio.com/resources/cheatsheets/

R Commander (another interface for R): https://socialsciences.mcmaster.ca/jfox/Misc/Rcmdr

R for Data Science (free book): https://r4ds.had.co.nz

An Introduction to R (online PDF): https://cran.r-project.org/doc/manuals/R-intro.pdf

R Cookbook (free book): https://rc2e.com

Impatient R (website): https://www.burns-stat.com/documents/tutorials/impatient-r/

Clinical Trial Design: Single-arm one-stage clinical trial design: https://stat.ethz.ch/education/semesters/as2012/bio/ahernSampleSize.pdf

Single-arm two-stage clinical trial design:
https://brb.nci.nih.gov/brb/samplesize/otsd.html
http://cancer.unc.edu/biostatistics/program/ivanova/SimonsTwoStageDesign.aspx

Ivanova toxicity monitoring boundary: http://cancer.unc.edu/biostatistics/program/ivanova/ContinuosMonitoringForToxicity.aspx

SWOG statistical tools: https://stattools.crab.org

MD Anderson statistical tools:
https://biostatistics.mdanderson.org/softwaredownload/
https://biostatistics.mdanderson.org/SoftwareDownload/SoftwareOnline/Index/

Phase I, II, and I/II designs (mostly Bayesian, includes BOIN, CRM, Keyboard, & BOP2): https://trialdesign.org

Mayo Clinic statistical code: https://bioinformaticstools.mayo.edu

CDISC standards: https://www.cdisc.org/standards

Publishing and other related resources: JANE (Journal Author/Name Estimator): https://jane.biosemantics.org/

Beall’s list (predatory journals): https://beallslist.net/

NIH Study Section finder (ART): https://public.csr.nih.gov/ForApplicants/ArtHome

If you are looking for more information on any of the above links, or want to suggest additions, feel free to reach out to our team! DueckLab@mayo.edu