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.