import static java.lang.System.out;

import java.util.*;

import javastat.*;

import javastat.survival.inference.*;

import static javastat.util.Output.*;

import javastat.util.*;

/**

*

* <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>

*/

public class LogRankTestExample

{

public static void main(String arg[])

{

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};

DataManager dm = new DataManager();

LogRankTest testclass1 =

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

double testStatistic = testclass1.testStatistic;

double pValue = testclass1.pValue;

LogRankTest testclass2 = new LogRankTest();

testStatistic =

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

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

Hashtable argument = new Hashtable();

StatisticalAnalysis testclass3 = new LogRankTest(argument, time1,

censor1, time2, censor2).statisticalAnalysis;

testStatistic = (Double) testclass3.output.get(TEST_STATISTIC);

pValue = (Double) testclass3.output.get(PVALUE);

LogRankTest testclass4 = new LogRankTest(argument, null);

testStatistic = testclass4.testStatistic(argument, time1, censor1,

time2, censor2);

pValue = testclass4.pValue(argument, time1, censor1, time2, censor2);

}

}

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

{TEST_STATISTIC=1.766, PVALUE=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