Lab4IQMintegrated quantitative modelling

Modules / biostat

Biostatistics

Survival curves with the log-rank test, ROC curves, group comparisons, contingency tables and dose–response fits, from a CSV file.

Version
0.1.2 in progress
Follows
Results checked against R and published values
Level
Medical and health research, postgraduate
Needs
Lab4IQM 1.7 or newer, Blender 4.2.0 or newer
Commands
5
Download lab4iqm_biostat-0.1.2.zip
Kaplan–Meier curves for two treatment groups

Try these

Each line is a command from the module's own examples; type it in the Lab4IQM console after import biostat.

Survival: leukemia trialkm("biostat:leukemia.csv", time=weeks, event=relapse, group=drug); axes(title="Remission in acute leukemia"); view2d()
Survival with 95% bandskm("biostat:leukemia.csv", time=weeks, event=relapse, group=drug, ci=true); view2d()
ROC curve of a biomarkerroc("biostat:biomarker.csv", score=marker, outcome=disease); view2d()
Compare groups (box plots)compare("biostat:plants.csv", value=weight, group=group); view2d()
Contingency tablecrosstab("biostat:biomarker.csv", row=smoker, col=disease)
Dose-response (EC50)dose("biostat:doses.csv", dose=conc_uM, response=viability); view2d()

Commands

help(biostat) in the console lists them with their options.

kmroccomparecrosstabdose