P30 Vision Research Core
Biostatistics for Eye and Vision Research
Laurel Stell, PhD, is in the Department of Biomedical Data Science, but Ophthalmology is funding part of her salary to provide biostatistical support for its clinical and laboratory research. She has extensive experience in statistical modelling (developing predictors or classifiers), inference, and multiple hypothesis testing; but she can assist in many types of analyses. She is particularly adept at manipulating and visualizing data to discover general patterns and highlight interesting features and relationships—or perhaps errors. Furthermore, she can help guide your research approach before you even have data.
To arrange a meeting to discuss how Laurel can help with your project, please fill in the consultation request form. Due to her other commitments outside of Ophthalmology, it is best to allow plenty of time for her to fit your analysis into her queue. You should also consider whether any of the resources listed below are more appropriate, depending upon your needs and affiliations. If you have funding or would like to include a biostatician on a grant, that will also affect your options.
Other Biostatistics Resources
The Quantitative Sciences Unit (QSU) is a collaborative statistics unit in the Biomedical Informatics Research (BMIR) Division in the Department of Medicine. They do not have an arrangement with Ophthalmology, but they do have arrangements with Stanford Cancer Institute (SCI), Child Health Research Institute (CHRI, including applicants for their grants), and several other centers do. For an up-to-date list, see the QSU Project Initiation Form (about a third of the way down).
The Department of Biomedical Data Science (DBDS) provides free time-limited consultation to investigators in the School of Medicine. It also collaborates on longer term projects with other departments. In particular, if you are designing a clinical trial, you should request a consultation with DBDS. For more information about DBDS services, click here.
Data Studio is a collaboration between Spectrum (The Stanford Center for Clinical and Translational Research and Education) and DBDS. Its fundamental goal is to foster dialog between statisticians/data scientists and researchers in clinics and laboratories. Data Studio meets weekly during the fall, winter, and spring quarters. One session per month is drop-in consulting. Most sessions, however, consist of an extensive and in-depth consultation for a Medical School researcher.
Data Management and Database Repositories
There are many SOM resources to help with data access. If you need to create and manage your own database, you might consider using REDCap, which requires funding for certain services, or the more advanced services provided by the Data Coordinating Center (DCC), which is a service center.
Stanford also has access to many existing databases containing data from a wide array of sources such as:
- STARR (formerly known as STRIDE)
- The Data Center at the Center for Population Health Sciences
- For SCI members, the Stanford Cancer Institute Research Database (SCIRDB) has a rich set of data that integrates many resources.
The menu at the SOM IT Web page lists some additional databases.
This is an initial start at listing SOM resources that might be useful to Ophthalmology researchers. It will be updated based on feedback and as the SOM updates its Web pages.
Some additional "meta" resources are:
- SOM list of core research facilities. Some of the links on this page are broken, but you can Google the name of the facility to find its new page.
- Spectrum, Stanford's Clinical and Translational Science Award (CTSA)-supported research hub. Spectrum is an independent, interdisciplinary center that facilitates clinical and translational research across the university. Its Web site has resources on informatics, research IT, study design, regulatory affairs, and much more.
- DoResearch is a Stanford University knowledge base, oriented primarily toward policy matters.