EE Student Information

The Department of Electrical Engineering supports Black Lives Matter. Read more.

• • • • 

 EE Student Information, Spring & Summer Quarters 19-20: FAQs and Updated EE Course List.

Updates will be posted on this page, as well as emailed to the EE student mail list.

Please see Stanford University Health Alerts for course and travel updates.

As always, use your best judgement and consider your own and others' well-being at all times.

Workshop in Biostatistics presents Survival Analysis using a 5-STAR Approach in Randomized Clinical Trials"

Topic: 
Survival Analysis using a 5-STAR Approach in Randomized Clinical Trials
Thursday, March 5, 2020 - 1:30pm
Venue: 
Medical School Office Building (MSOB), Rm x303
Speaker: 
Devan Mehrotra (Biostatistics at Merck & Co.)
Abstract / Description: 

Randomized clinical trials are commonly designed to assess whether a test treatment prolongs survival relative to a control treatment. Increased patient heterogeneity, while desirable for generalizability of results, weakens the ability of common statistical approaches to detect treatment differences, potentially hampering the regulatory approval of safe and efficacious therapies. A novel solution to this problem is proposed. A list of baseline covariates that have the potential to be prognostic for survival under either treatment is pre-specified in the analysis plan (Step 1). At the analysis stage, using observed survival times but blinded to patient-level treatment assignment, the covariate list is shortened via elastic net Cox regression (Step 2) for input into a conditional inference tree algorithm that segments the heterogeneous trial population into subpopulations (strata) of prognostically homogeneous patients (Step 3). After patient-level treatment unblinding, a treatment comparison is done within each formed stratum (Step 4) and stratum-level results are combined for statistical inference using an adaptive strategy (Step 5). The impressive power-boosting performance of our proposed 5-step stratified testing and amalgamation routine (5-STAR) relative to the logrank test and other methods for survival analysis is illustrated using two real datasets and simulations. An R package is available for implementation.


 

The Workshop is held from 1:30-2:50pm in Medical School Office Building (MSOB), Rm x303, 1265 Welch Road, Stanford, unless otherwise specified on the calendar at the link below.