/* * (c) 2008- RANDI2 Core Development Team * * This file is part of RANDI2. * * RANDI2 is free software: you can redistribute it and/or modify it under the * terms of the GNU General Public License as published by the Free Software * Foundation, either version 3 of the License, or (at your option) any later * version. * * RANDI2 is distributed in the hope that it will be useful, but WITHOUT ANY * WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR * A PARTICULAR PURPOSE. See the GNU General Public License for more details. * * You should have received a copy of the GNU General Public License along with * RANDI2. If not, see <http://www.gnu.org/licenses/>. */ package de.randi2.randomization; import java.util.ArrayList; import java.util.List; import java.util.Random; import de.randi2.model.TreatmentArm; import de.randi2.model.Trial; import de.randi2.model.TrialSubject; import de.randi2.model.randomization.ResponseAdaptiveRConfig; import de.randi2.model.randomization.ResponseAdaptiveRandomizationTempData; import de.randi2.model.randomization.ResponseAdaptiveUrn; /** * @author Natalie Waskowzow * */ public class ResponseAdaptiveRandomization extends RandomizationAlgorithm<ResponseAdaptiveRConfig> { public ResponseAdaptiveRandomization(Trial trial) { super(trial); } public ResponseAdaptiveRandomization(Trial trial, long seed) { super(trial, seed); } @Override protected TreatmentArm doRadomize(TrialSubject subject, Random random) { ResponseAdaptiveRandomizationTempData tempData = (ResponseAdaptiveRandomizationTempData) super.configuration.getTempData(); String stratum = ""; if(trial.isStratifyTrialSite()) stratum = subject.getTrialSite().getId() + "__"; stratum += subject.getStratum(); ResponseAdaptiveUrn responseAdaptiveUrn = tempData.getResponseAdaptiveUrn(stratum); if (responseAdaptiveUrn == null) { responseAdaptiveUrn = ResponseAdaptiveUrn.generate(configuration); tempData.setResponseAdaptiveUrn(stratum, responseAdaptiveUrn); } TreatmentArm drawnArm = responseAdaptiveUrn.drawFromUrn(configuration,random); return drawnArm; } public void addResponse(TrialSubject subject){ ResponseAdaptiveRandomizationTempData tempData = (ResponseAdaptiveRandomizationTempData) super.configuration.getTempData(); String stratum = ""; if(trial.isStratifyTrialSite()) stratum = subject.getTrialSite().getId() + "__"; stratum += subject.getStratum(); ResponseAdaptiveUrn responseAdaptiveUrn = tempData.getResponseAdaptiveUrn(stratum); TreatmentArm arm = subject.getArm(); List<TreatmentArm> arms = new ArrayList<TreatmentArm>(trial.getTreatmentArms()); arms.remove(arm); String response = subject.getResponseProperty().getValue(); if (response.equals(trial.getTreatmentResponse().getOption1())) { for (int i = 0; i < configuration.getCountBallsResponseSuccess(); i++) { responseAdaptiveUrn.add(arm); } int countBallsOtherArms = configuration .getCountBallsResponseFailure() / (arms.size()); for (TreatmentArm tArm : arms) { for (int i = 0; i < countBallsOtherArms; i++) { responseAdaptiveUrn.add(tArm); } } } else { for (int i = 0; i < configuration.getCountBallsResponseFailure(); i++) { responseAdaptiveUrn.add(arm); } int countBallsOtherArms = configuration .getCountBallsResponseSuccess() / (arms.size()); for (TreatmentArm tArm : arms) { for (int i = 0; i < countBallsOtherArms; i++) { responseAdaptiveUrn.add(tArm); } } } } }