private void randomizeInValidTrialTwoYears()
throws IllegalArgumentException, TrialStateException {
authenticatAsPrincipalInvestigator();
validTrial.setStartDate(new GregorianCalendar(2009, 0, 1));
validTrial.setEndDate(new GregorianCalendar(2010, 11, 1));
int blocksize = 4;
int randomizations = 240;
TreatmentArm arm1 = new TreatmentArm();
arm1.setPlannedSubjects(randomizations / 2);
arm1.setName("arm1");
arm1.setTrial(validTrial);
TreatmentArm arm2 = new TreatmentArm();
arm2.setPlannedSubjects(randomizations / 2);
arm2.setName("arm2");
arm2.setTrial(validTrial);
List<TreatmentArm> arms = new ArrayList<TreatmentArm>();
arms.add(arm1);
arms.add(arm2);
trialService.create(validTrial);
validTrial.setTreatmentArms(arms);
BlockRandomizationConfig config = new BlockRandomizationConfig();
config.setMaximum(blocksize);
config.setMinimum(blocksize);
validTrial.setRandomizationConfiguration(config);
trialService.update(validTrial);
assertTrue(validTrial.getId() > 0);
assertEquals(2, validTrial.getTreatmentArms().size());
authenticatAsInvestigator();
for (int i = 0; i < randomizations; i++) {
TrialSubject subject = new TrialSubject();
subject.setIdentification("identification" + i);
subject.setTrialSite(validTrial.getLeadingSite());
trialService.randomize(validTrial, subject);
subject.setCreatedAt(new GregorianCalendar(2009 + (i >= 120 ? 1 : 0), i % 12, 1));
sessionFactory.getCurrentSession().update(subject);
if ((i % blocksize) == (blocksize - 1)) {
assertEquals(
validTrial.getTreatmentArms().get(0).getSubjects().size(),
validTrial.getTreatmentArms().get(1).getSubjects().size());
}
int diff =
validTrial.getTreatmentArms().get(0).getSubjects().size()
- validTrial.getTreatmentArms().get(1).getSubjects().size();
assertTrue((blocksize / 2) >= diff && (-1) * (blocksize / 2) <= diff);
}
Trial dbTrial = trialService.getObject(validTrial.getId());
assertNotNull(dbTrial);
assertEquals(validTrial.getName(), dbTrial.getName());
assertEquals(2, dbTrial.getTreatmentArms().size());
assertEquals(
randomizations,
dbTrial.getTreatmentArms().get(0).getSubjects().size()
+ dbTrial.getTreatmentArms().get(1).getSubjects().size());
assertEquals(randomizations / 2, dbTrial.getTreatmentArms().get(0).getSubjects().size());
assertEquals(randomizations / 2, dbTrial.getTreatmentArms().get(1).getSubjects().size());
}
@Test
public void testRandomizationConfigurationCorrect() {
CompleteRandomizationConfig conf = new CompleteRandomizationConfig();
conf.setTrial(null);
assertNull(conf.getTrial());
validTrial.setRandomizationConfiguration(conf);
assertEquals(conf, validTrial.getRandomizationConfiguration());
assertEquals(validTrial, conf.getTrial());
assertValid(validTrial);
}
@Test
public void testRandomizationConfigurationNull() {
validTrial.setRandomizationConfiguration(null);
assertNull(validTrial.getRandomizationConfiguration());
assertValid(validTrial);
}
@Test
public void testChartSubGroups() {
authenticatAsPrincipalInvestigator();
validTrial.setStartDate(new GregorianCalendar(2009, 0, 1));
validTrial.setEndDate(new GregorianCalendar(2010, 11, 1));
int blocksize = 4;
int randomizations = 240;
TreatmentArm arm1 = new TreatmentArm();
arm1.setPlannedSubjects(randomizations / 2);
arm1.setName("arm1");
arm1.setTrial(validTrial);
TreatmentArm arm2 = new TreatmentArm();
arm2.setPlannedSubjects(randomizations / 2);
arm2.setName("arm2");
arm2.setTrial(validTrial);
List<TreatmentArm> arms = new ArrayList<TreatmentArm>();
arms.add(arm1);
arms.add(arm2);
validTrial.setTreatmentArms(arms);
DichotomousCriterion cr = new DichotomousCriterion();
cr.setOption1("1");
cr.setOption2("2");
DichotomousCriterion cr1 = new DichotomousCriterion();
cr1.setOption1("1");
cr1.setOption2("2");
DichotomousCriterion cr2 = new DichotomousCriterion();
cr2.setOption1("1");
cr2.setOption2("2");
try {
cr.addStrata(new DichotomousConstraint(Arrays.asList(new String[] {"1"})));
cr.addStrata(new DichotomousConstraint(Arrays.asList(new String[] {"2"})));
cr1.addStrata(new DichotomousConstraint(Arrays.asList(new String[] {"1"})));
cr1.addStrata(new DichotomousConstraint(Arrays.asList(new String[] {"2"})));
cr2.addStrata(new DichotomousConstraint(Arrays.asList(new String[] {"1"})));
cr2.addStrata(new DichotomousConstraint(Arrays.asList(new String[] {"2"})));
validTrial.addCriterion(cr);
validTrial.addCriterion(cr1);
validTrial.addCriterion(cr2);
} catch (ContraintViolatedException e) {
BoxedException.throwBoxed(e);
}
BlockRandomizationConfig config = new BlockRandomizationConfig();
config.setMaximum(blocksize);
config.setMinimum(blocksize);
validTrial.setRandomizationConfiguration(config);
trialService.create(validTrial);
assertTrue(validTrial.getId() > 0);
assertEquals(2, validTrial.getTreatmentArms().size());
authenticatAsInvestigator();
for (int i = 0; i < randomizations; i++) {
TrialSubject subject = new TrialSubject();
subject.setIdentification("identification" + i);
subject.setTrialSite(validTrial.getLeadingSite());
SubjectProperty<Serializable> subprob =
new SubjectProperty<Serializable>(validTrial.getCriteria().get(0));
SubjectProperty<Serializable> subprob1 =
new SubjectProperty<Serializable>(validTrial.getCriteria().get(1));
SubjectProperty<Serializable> subprob2 =
new SubjectProperty<Serializable>(validTrial.getCriteria().get(2));
try {
if ((new Random()).nextInt(2) == 0) {
subprob.setValue(cr.getOption1());
} else {
subprob.setValue(cr.getOption2());
}
if ((new Random()).nextInt(2) == 0) {
subprob1.setValue(cr1.getOption1());
} else {
subprob1.setValue(cr1.getOption2());
}
if ((new Random()).nextInt(2) == 0) {
subprob2.setValue(cr2.getOption1());
} else {
subprob2.setValue(cr2.getOption2());
}
} catch (ContraintViolatedException e) {
BoxedException.throwBoxed(e);
}
Set<SubjectProperty<?>> proberties = new HashSet<SubjectProperty<?>>();
proberties.add(subprob);
proberties.add(subprob1);
proberties.add(subprob2);
subject.setProperties(proberties);
trialService.randomize(validTrial, subject);
subject.setCreatedAt(new GregorianCalendar(2009 + (i >= 120 ? 1 : 0), i % 12, 1));
sessionFactory.getCurrentSession().update(subject);
}
ChartData data = chartsService.generateRecruitmentChartFactors(validTrial);
assertEquals(8, data.getData().size());
assertEquals(8, data.getData().get(0).length);
assertEquals(8, data.getXLabels().size());
}
private void randomizeInValidTrialTwoTrialSites31()
throws IllegalArgumentException, TrialStateException {
authenticatAsAdmin();
Person cp1 = new Person();
cp1.setFirstname("Contact");
cp1.setSurname("Person");
cp1.setEmail("*****@*****.**");
cp1.setPhone("1234567");
cp1.setSex(Gender.MALE);
TrialSite trialSite1 = new TrialSite();
trialSite1.setCity("Heidelberg");
trialSite1.setCountry("Germany");
trialSite1.setName("NCT");
trialSite1.setPostcode("69120");
trialSite1.setStreet("INF");
trialSite1.setPassword("1$heidelberg");
trialSite1.setContactPerson(cp1);
trialSiteService.create(trialSite1);
Person cp2 = new Person();
cp2.setFirstname("Contact");
cp2.setSurname("Person");
cp2.setEmail("*****@*****.**");
cp2.setPhone("1234567");
cp2.setSex(Gender.MALE);
TrialSite trialSite2 = new TrialSite();
trialSite2.setCity("Heidelberg");
trialSite2.setCountry("Germany");
trialSite2.setName("NCT2");
trialSite2.setPostcode("69120");
trialSite2.setStreet("INF");
trialSite2.setPassword("1$heidelberg");
trialSite2.setContactPerson(cp2);
trialSiteService.create(trialSite2);
validTrial.addParticipatingSite(trialSite1);
validTrial.addParticipatingSite(trialSite2);
validTrial.setStartDate(new GregorianCalendar(2009, 0, 1));
validTrial.setEndDate(new GregorianCalendar(2009, 11, 1));
authenticatAsPrincipalInvestigator();
int blocksize = 4;
int randomizations = 120;
TreatmentArm arm1 = new TreatmentArm();
arm1.setPlannedSubjects(randomizations / 2);
arm1.setName("arm1");
arm1.setTrial(validTrial);
TreatmentArm arm2 = new TreatmentArm();
arm2.setPlannedSubjects(randomizations / 2);
arm2.setName("arm2");
arm2.setTrial(validTrial);
List<TreatmentArm> arms = new ArrayList<TreatmentArm>();
arms.add(arm1);
arms.add(arm2);
trialService.create(validTrial);
validTrial.setTreatmentArms(arms);
BlockRandomizationConfig config = new BlockRandomizationConfig();
config.setMaximum(blocksize);
config.setMinimum(blocksize);
validTrial.setRandomizationConfiguration(config);
trialService.update(validTrial);
assertTrue(validTrial.getId() > 0);
assertEquals(2, validTrial.getTreatmentArms().size());
Iterator<TrialSite> it = validTrial.getParticipatingSites().iterator();
TrialSite site1 = it.next();
TrialSite site2 = it.next();
authenticatAsInvestigator();
for (int i = 0; i < randomizations; i++) {
TrialSubject subject = new TrialSubject();
subject.setIdentification("identification" + i);
if (i < 90) {
subject.setTrialSite(site1);
} else {
subject.setTrialSite(site2);
}
trialService.randomize(validTrial, subject);
subject.setCreatedAt(new GregorianCalendar(2009, i % 12, 1));
sessionFactory.getCurrentSession().update(subject);
if ((i % blocksize) == (blocksize - 1)) {
assertEquals(
validTrial.getTreatmentArms().get(0).getSubjects().size(),
validTrial.getTreatmentArms().get(1).getSubjects().size());
}
int diff =
validTrial.getTreatmentArms().get(0).getSubjects().size()
- validTrial.getTreatmentArms().get(1).getSubjects().size();
assertTrue((blocksize / 2) >= diff && (-1) * (blocksize / 2) <= diff);
}
Trial dbTrial = trialService.getObject(validTrial.getId());
assertNotNull(dbTrial);
assertEquals(validTrial.getName(), dbTrial.getName());
assertEquals(2, dbTrial.getTreatmentArms().size());
assertEquals(
randomizations,
dbTrial.getTreatmentArms().get(0).getSubjects().size()
+ dbTrial.getTreatmentArms().get(1).getSubjects().size());
assertEquals(randomizations / 2, dbTrial.getTreatmentArms().get(0).getSubjects().size());
assertEquals(randomizations / 2, dbTrial.getTreatmentArms().get(1).getSubjects().size());
}