The method of minimization for allocation to clinical trials. a review.

By N. Scott, G. McPherson, C. Ramsay, M. Campbell. Controlled Clinical Trials, 2002

650 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Rerandomization to improve covariate balance in experiments (2012, neutral): “…[Efron (1971); White and Freedman (1978); Pocock and Simon (1975); Pocock (1979); Simon (1979); Birkett (1985); Aickin (2001); Atkinson (2002); Scott et al. (2002); McEntegart (2003); Rosenberger and Sverdlov (2008)] are designed for clinical trials with sequential treatment allocation over…”
In Pursuit of Balance: Randomization in Practice in Development Field Experiments (2008, positive): “In practice this will be difficult to do, so adapting the minimization inference recommendations of Scott et al. (2002), we recommend researchers instead include all the variables used to check balance as linear covariates in the regression.22 Estimation of the treatment effect in (2b) will then be…”
Subgroup identification based on differential effect search—A recursive partitioning method for establishing response to treatment in patient subpopulations (2011, methodology): “The procedure for creating balanced training and test data sets is based on an extension of minimization algorithms developed by Traves [19] and extended by Pocock and Simon [20], see also [21], and is aimed at a balanced allocation separately for each categorical covariate.”