import javastat.survival.inference.LogRankTest;

/**

*

* <p>Example: class LogRankTest.</p>

* <p>Data Source: Collett, D. (1994). Modelling Survival Data in Medical

* Research. New York: Chapman and Hall, pp. 290-291. </p>

*/

double[] time1 = {156, 1040, 59, 329, 268, 638, 1106, 431, 855, 803,

115, 477, 448};

double[] time2 = {421, 769, 365, 770, 1227, 475, 1129, 464, 1206, 563,

744, 353, 377};

double[] censor1 = {1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0};

double[] censor2 = {0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0};

testclass1 = new LogRankTest(time1, censor1, time2, censor2);

testStatistic = testclass1.testStatistic;

pValue = testclass1.pValue;

print("The log rank statistic (non-null constructor) = " + testStatistic);

print("The p-value for the test (non-null constructor) = " + pValue);

testclass2 = new LogRankTest();

testStatistic = testclass2.testStatistic(time1, censor1, time2, censor2);

pValue = testclass2.pValue(time1, censor1, time2, censor2);

print("The log rank statistic (null constructor) = " + testStatistic);

print("The p-value for the test (null constructor) = " + pValue);

Results:

The log rank statistic based on non-null constructor = 1.766

The p-value for the test based on non-null constructor = 0.303

The log rank statistic based on null constructor = 1.766

The p-value for the test based on non-null constructor = 0.303