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Stratified survival

Experimental The curves are safety.viz's Kaplan–Meier estimator, kmEstimate, which awaits its clinical review.

Do participants with high and low levels of this biomarker have different outcomes? Kaplan–Meier curves per group, with censor marks and an at-risk strip, above a histogram of the biomarker showing where the cut falls and how many land each side. The groups are a column's or a biomarker cut at its median, tertiles, quartiles or typed points, and the cut line can be dragged: the curves follow at once, and R is asked again when it is let go. Under it R's log-rank test, each group's median survival with its interval and, for two groups, the hazard ratio with its interval. Click a curve or a count at risk to list its participants and open a participant's profile. The data is the synthetic study: 200 made-up participants, and no real one.

The controls, the filters, the listing, the participant profile and the Chart.js this chart draws with are safety.viz's, version 1.9.0, loaded beside bio.viz from a copy with a record of where it came from.

The statistics are gsm.bio's, version 0.1.0: R in this browser is given one file of R, copied from gsm.bio at commit 514cbc3 with a record of where it came from. The same file, run in desktop R on the rows this chart hands over, wrote the answers the browser tests hold this page to.