Comparing dose-finding designs by simulation
A simple, efficient method for comparing dose-finding designs described in preprint and implemented in escalation v0.1.8
Praise for statistical developers
Those that write statistical software sit at the intersection of two difficult disciplines. They are heroes.
Sending me data in Excel
If you want to send me data in an Excel sheet, laying it out like this will let me start analysing it right away.
New phase I methods in escalation
Introducing new methods in
escalation for TPI, mTPI and Neuenschwander et al.‘s design for phase I trials, plus MCMC-based CRM …
trialr and escalation
The
trialr package, the escalation package, how they work together, and how they will grow.
Fetching BibTeX citations using rcrossref
Fetching lots of BibTeX citations is simple using
rcrossref
Fitting the Emax Model in R
Emax is an awesome, flexible non-linear model for estimating dose-response curves. Come learn how to fit it in R.
Sample sizes in phase I
Empirically, what sample size is used in dose-escalation trials?
Dataset containing outcomes from dose-finding trials in cancer
Descriptive data and dose-level outcomes from 122 manuscripts reporting results of dose-finding clinical trials in cancer.
Simulation or enumeration with dose-finding designs?
Simulation is the popular approach but brute-force enumeration is more accurate and can even be quicker.
