public static String NoDummyVariables(double[,] cm, String[] bLabels, double[] B, String lastVar1, String lastVar2, int interactions, int iaTerms, double[,] DataArray)
{
String iorOut = "";
double Z = SharedResources.ZFromP(0.025);
int column2 = 1;
for (int i = 0; i < bLabels.Length; i++)
{
if (bLabels[i] != null && bLabels[i].Equals(lastVar2))
{
column2 += i;
}
}
double ref2 = getColumnMean(column2, DataArray);
int singleIndex = getContinuousIndex(lastVar1, bLabels);
int[] interactionIndexes = getInteractionIndexes(interactions, iaTerms, bLabels);
iorOut = iorOut + "<table><tr><td class=\"stats\" colspan=4 align=\"left\"><strong>Odds Ratios for " + lastVar1 + " * " + lastVar2 + " Interaction</strong></td></tr><tr><td class=\"stats\" align=\"left\"><strong>Label</strong></td><td class=\"stats\" align=\"center\"><strong>Estimate</strong></td><td class=\"stats\" colspan=2 align=\"center\"><strong>95% Confidence Limits</strong></td></tr>";
double est = B[singleIndex] + ref2 * B[interactionIndexes[0]];
double variance = cm[singleIndex, singleIndex] + Math.Pow(ref2, 2.0) * cm[interactionIndexes[0], interactionIndexes[0]] +
2 * ref2 * cm[singleIndex, interactionIndexes[0]];
double lcl = est - Z * Math.Sqrt(variance);
double ucl = est + Z * Math.Sqrt(variance);
iorOut = iorOut + "<tr><td class=\"stats\"><strong>" + lastVar1 + " at " + lastVar2 + "=" + ref2.ToString("F3") + "</strong></td>";
if (Math.Exp(est) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(est).ToString("F4") + "</td>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(est).ToString("0.##E+0") + "</td>";
}
if (Math.Exp(lcl) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(lcl).ToString("F4") + "</td>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(lcl).ToString("0.##E+0") + "</td>";
}
if (Math.Exp(ucl) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(ucl).ToString("F4") + "</td></tr>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(ucl).ToString("0.##E+0") + "</td></tr>";
}
return(iorOut + "</table>");
}
public static String DummyLast(double[,] cm, String[] bLabels, double[] B, String lastVar1, String lastVar2, int interactions, int iaTerms, double[,] DataArray)
{
String iorOut = "";
double Z = SharedResources.ZFromP(0.025);
String ref1 = getRef(lastVar1, bLabels);
int singleIndex = getContinuousIndex(lastVar2, bLabels);
int[] interactionIndexes = getInteractionIndexes(interactions, iaTerms, bLabels);
String[] otherValues1 = getNonRef(lastVar1, bLabels);
iorOut = iorOut + "<table><tr><td class=\"stats\" colspan=4 align=\"left\"><strong>Odds Ratios for " + lastVar2 + " * " + lastVar1 + " Interaction</strong></td></tr><tr><td class=\"stats\" align=\"left\"><strong>Label</strong></td><td class=\"stats\" align=\"center\"><strong>Estimate</strong></td><td class=\"stats\" colspan=2 align=\"center\"><strong>95% Confidence Limits</strong></td></tr>";
double est0 = B[singleIndex];
double variance0 = cm[singleIndex, singleIndex];
double lcl0 = est0 - Z * Math.Sqrt(variance0);
double ucl0 = est0 + Z * Math.Sqrt(variance0);
iorOut = iorOut + "<tr><td class=\"stats\"><strong>" + lastVar2 + " at " + lastVar1 + "=" + ref1 + "</strong></td>";
if (Math.Exp(0) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(est0).ToString("F4") + "</td>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(est0).ToString("0.##E+0") + "</td>";
}
if (Math.Exp(lcl0) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(lcl0).ToString("F4") + "</td>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(lcl0).ToString("0.##E+0") + "</td>";
}
if (Math.Exp(ucl0) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(ucl0).ToString("F4") + "</td></tr>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(ucl0).ToString("0.##E+0") + "</td></tr>";
}
for (int i = 0; i < otherValues1.Length / 2; i++)
{
double est = B[singleIndex] + B[interactionIndexes[i]];
double variance = cm[singleIndex, singleIndex] +
cm[interactionIndexes[i], interactionIndexes[i]] +
2 * cm[singleIndex, interactionIndexes[i]];
double lcl = est - Z * Math.Sqrt(variance);
double ucl = est + Z * Math.Sqrt(variance);
iorOut = iorOut + "<tr><td class=\"stats\"><strong>" + lastVar2 + " at " + lastVar1 + "=" + otherValues1[2 * i + 1] + "</strong></td>";
if (Math.Exp(est) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(est).ToString("F4") + "</td>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(est).ToString("0.##E+0") + "</td>";
}
if (Math.Exp(lcl) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(lcl).ToString("F4") + "</td>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(lcl).ToString("0.##E+0") + "</td>";
}
if (Math.Exp(ucl) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(ucl).ToString("F4") + "</td></tr>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(ucl).ToString("0.##E+0") + "</td></tr>";
}
}
return(iorOut + "</table>");
}
public static String DummyFirst(double[,] cm, String[] bLabels, double[] B, String lastVar1, String lastVar2, int interactions, int iaTerms, double[,] DataArray)
{
String iorOut = "";
double Z = SharedResources.ZFromP(0.025);
String ref1 = getRef(lastVar1, bLabels);
int column2 = 1;
for (int i = 0; i < bLabels.Length; i++)
{
if (bLabels[i] != null && bLabels[i].Equals(lastVar2))
{
column2 += i;
}
}
double ref2 = getColumnMean(column2, DataArray);
String[] otherValues1 = getNonRef(lastVar1, bLabels);
int[] interactionIndexes = getInteractionIndexes(interactions, iaTerms, bLabels);
iorOut = iorOut + "<table><tr><td class=\"stats\" colspan=4 align=\"left\"><strong>Odds Ratios for " + lastVar1 + " * " + lastVar2 + " Interaction</strong></td></tr><tr><td class=\"stats\" align=\"left\"><strong>Label</strong></td><td class=\"stats\" align=\"center\"><strong>Estimate</strong></td><td class=\"stats\" colspan=2 align=\"center\"><strong>95% Confidence Limits</strong></td></tr>";
for (int i = 0; i < otherValues1.Length / 2; i++)
{
double est = -B[Int32.Parse(otherValues1[2 * i])] - ref2 * B[interactionIndexes[i]];
double variance = cm[Int32.Parse(otherValues1[2 * i]), Int32.Parse(otherValues1[2 * i])] + Math.Pow(ref2, 2.0) * cm[interactionIndexes[i], interactionIndexes[i]] +
2 * ref2 * cm[Int32.Parse(otherValues1[2 * i]), interactionIndexes[i]];
double lcl = est - Z * Math.Sqrt(variance);
double ucl = est + Z * Math.Sqrt(variance);
iorOut = iorOut + "<tr><td class=\"stats\"><strong>" + lastVar1 + " " + ref1 + " vs " + otherValues1[2 * i + 1] +
" at " + lastVar2 + "=" + ref2.ToString("F3") + "</strong></td>";
if (Math.Exp(est) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(est).ToString("F4") + "</td>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(est).ToString("0.##E+0") + "</td>";
}
if (Math.Exp(lcl) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(lcl).ToString("F4") + "</td>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(lcl).ToString("0.##E+0") + "</td>";
}
if (Math.Exp(ucl) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(ucl).ToString("F4") + "</td></tr>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(ucl).ToString("0.##E+0") + "</td></tr>";
}
}
for (int i = 0; i < otherValues1.Length / 2; i++)
{
for (int j = i + 1; j < otherValues1.Length / 2; j++)
{
double est = B[Int32.Parse(otherValues1[2 * i])] + ref2 * B[interactionIndexes[i]] - B[Int32.Parse(otherValues1[2 * j])] - ref2 * B[interactionIndexes[j]];
double variance = cm[Int32.Parse(otherValues1[2 * i]), Int32.Parse(otherValues1[2 * i])] +
Math.Pow(ref2, 2.0) * cm[interactionIndexes[i], interactionIndexes[i]] +
cm[Int32.Parse(otherValues1[2 * j]), Int32.Parse(otherValues1[2 * j])] +
Math.Pow(ref2, 2.0) * cm[interactionIndexes[j], interactionIndexes[j]] +
2 * ref2 * cm[Int32.Parse(otherValues1[2 * i]), interactionIndexes[i]] -
2 * cm[Int32.Parse(otherValues1[2 * i]), Int32.Parse(otherValues1[2 * j])] -
2 * ref2 * cm[Int32.Parse(otherValues1[2 * i]), interactionIndexes[j]] -
2 * ref2 * cm[Int32.Parse(otherValues1[2 * j]), interactionIndexes[i]] -
2 * ref2 * ref2 * cm[interactionIndexes[j], interactionIndexes[i]] +
2 * ref2 * cm[Int32.Parse(otherValues1[2 * j]), interactionIndexes[j]];
double lcl = est - Z * Math.Sqrt(variance);
double ucl = est + Z * Math.Sqrt(variance);
iorOut = iorOut + "<tr><td class=\"stats\"><strong>" + lastVar1 + " " + otherValues1[2 * i + 1] + " vs " +
otherValues1[2 * j + 1] + " at " + lastVar2 + "=" + ref2.ToString("F3") + "</strong></td>";
if (Math.Exp(est) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(est).ToString("F4") + "</td>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(est).ToString("0.##E+0") + "</td>";
}
if (Math.Exp(lcl) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(lcl).ToString("F4") + "</td>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(lcl).ToString("0.##E+0") + "</td>";
}
if (Math.Exp(ucl) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(ucl).ToString("F4") + "</td></tr>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(ucl).ToString("0.##E+0") + "</td></tr>";
}
}
}
return(iorOut + "</table>");
}
public static String TwoDummyVariables(double[,] cm, String[] bLabels, double[] B, String lastVar1, String lastVar2, int interactions, int iaTerms)
{
String iorOut = "";
double Z = SharedResources.ZFromP(0.025);
String ref1 = getRef(lastVar1, bLabels);
String ref2 = getRef(lastVar2, bLabels);
String[] otherValues1 = getNonRef(lastVar1, bLabels);
String[] otherValues2 = getNonRef(lastVar2, bLabels);
iorOut = iorOut + "<table><tr><td class=\"stats\" colspan=4 align=\"left\"><strong>Odds Ratios for " + lastVar1 + " * " + lastVar2 + " Interaction</strong></td></tr><tr><td class=\"stats\" align=\"left\"><strong>Label</strong></td><td class=\"stats\" align=\"center\"><strong>Estimate</strong></td><td class=\"stats\" colspan=2 align=\"center\"><strong>95% Confidence Limits</strong></td></tr>";
for (int i = 0; i < otherValues1.Length / 2; i++)
{
double est = -B[Int32.Parse(otherValues1[2 * i])];
double lcl = est - Z * Math.Sqrt(cm[Int32.Parse(otherValues1[2 * i]), Int32.Parse(otherValues1[2 * i])]);
double ucl = est + Z * Math.Sqrt(cm[Int32.Parse(otherValues1[2 * i]), Int32.Parse(otherValues1[2 * i])]);
iorOut = iorOut + "<tr><td class=\"stats\"><strong>" + lastVar1 + " " + ref1 + " vs " + otherValues1[2 * i + 1] +
" at " + lastVar2 + "=" + ref2 + "</strong></td>";
if (Math.Exp(est) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(est).ToString("F4") + "</td>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(est).ToString("0.##E+0") + "</td>";
}
if (Math.Exp(lcl) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(lcl).ToString("F4") + "</td>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(lcl).ToString("0.##E+0") + "</td>";
}
if (Math.Exp(ucl) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(ucl).ToString("F4") + "</td></tr>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(ucl).ToString("0.##E+0") + "</td></tr>";
}
}
for (int i = 0; i < otherValues1.Length / 2; i++)
{
for (int j = i + 1; j < otherValues1.Length / 2; j++)
{
double est = B[Int32.Parse(otherValues1[2 * i])] - B[Int32.Parse(otherValues1[2 * j])];
double variance = cm[Int32.Parse(otherValues1[2 * i]), Int32.Parse(otherValues1[2 * i])] +
cm[Int32.Parse(otherValues1[2 * j]), Int32.Parse(otherValues1[2 * j])] -
2 * cm[Int32.Parse(otherValues1[2 * i]), Int32.Parse(otherValues1[2 * j])];
double lcl = est - Z * Math.Sqrt(variance);
double ucl = est + Z * Math.Sqrt(variance);
iorOut = iorOut + "<tr><td class=\"stats\"><strong>" + lastVar1 + " " + otherValues1[2 * i + 1] + " vs " +
otherValues1[2 * j + 1] + " at " + lastVar2 + "=" + ref2 + "</strong></td>";
if (Math.Exp(est) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(est).ToString("F4") + "</td>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(est).ToString("0.##E+0") + "</td>";
}
if (Math.Exp(lcl) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(lcl).ToString("F4") + "</td>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(lcl).ToString("0.##E+0") + "</td>";
}
if (Math.Exp(ucl) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(ucl).ToString("F4") + "</td></tr>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(ucl).ToString("0.##E+0") + "</td></tr>";
}
}
}
int[] interactionIndexes = getInteractionIndexes(interactions, iaTerms, bLabels);
int multiple = otherValues2.Length / 2;
for (int k = 0; k < otherValues2.Length / 2; k++)
{
Stack <double> betaStack = new Stack <double>();
for (int i = 0; i < otherValues1.Length / 2; i++)
{
double est = -(B[Int32.Parse(otherValues1[2 * i])] + B[interactionIndexes[multiple * i + k]]);
double variance = cm[Int32.Parse(otherValues1[2 * i]), Int32.Parse(otherValues1[2 * i])] +
cm[interactionIndexes[multiple * i + k], interactionIndexes[multiple * i + k]] +
2 * cm[Int32.Parse(otherValues1[2 * i]), interactionIndexes[multiple * i + k]];
double lcl = est - Z * Math.Sqrt(variance);
double ucl = est + Z * Math.Sqrt(variance);
betaStack.Push(est);
iorOut = iorOut + "<tr><td class=\"stats\"><strong>" + lastVar1 + " " + ref1 + " vs " +
otherValues1[2 * i + 1] + " at " + lastVar2 + "=" + otherValues2[2 * k + 1] + "</strong></td>";
if (Math.Exp(est) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(est).ToString("F4") + "</td>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(est).ToString("0.##E+0") + "</td>";
}
if (Math.Exp(lcl) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(lcl).ToString("F4") + "</td>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(lcl).ToString("0.##E+0") + "</td>";
}
if (Math.Exp(ucl) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(ucl).ToString("F4") + "</td></tr>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(ucl).ToString("0.##E+0") + "</td></tr>";
}
}
double[] betas = betaStack.ToArray();
for (int i = 0; i < otherValues1.Length / 2; i++)
{
for (int j = i + 1; j < otherValues1.Length / 2; j++)
{
double est = (B[Int32.Parse(otherValues1[2 * i])] + B[interactionIndexes[multiple * i + k]]) -
(B[Int32.Parse(otherValues1[2 * j])] + B[interactionIndexes[multiple * j + k]]);
double variance = cm[Int32.Parse(otherValues1[2 * i]), Int32.Parse(otherValues1[2 * i])] +
cm[interactionIndexes[multiple * i + k], interactionIndexes[multiple * i + k]] +
cm[Int32.Parse(otherValues1[2 * j]), Int32.Parse(otherValues1[2 * j])] +
cm[interactionIndexes[multiple * j + k], interactionIndexes[multiple * j + k]] +
2 * cm[Int32.Parse(otherValues1[2 * i]), interactionIndexes[multiple * i + k]] +
-2 * cm[Int32.Parse(otherValues1[2 * i]), Int32.Parse(otherValues1[2 * j])] +
-2 * cm[Int32.Parse(otherValues1[2 * i]), interactionIndexes[multiple * j + k]] +
-2 * cm[interactionIndexes[multiple * i + k], Int32.Parse(otherValues1[2 * j])] +
-2 * cm[interactionIndexes[multiple * i + k], interactionIndexes[multiple * j + k]] +
2 * cm[Int32.Parse(otherValues1[2 * j]), interactionIndexes[multiple * j + k]];
double lcl = est - Z * Math.Sqrt(variance);
double ucl = est + Z * Math.Sqrt(variance);
iorOut = iorOut + "<tr><td class=\"stats\"><strong>" + lastVar1 + " " + otherValues1[2 * i + 1] + " vs " +
otherValues1[2 * j + 1] + " at " + lastVar2 + "=" + otherValues2[2 * k + 1] + "</strong></td>";
if (Math.Exp(est) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(est).ToString("F4") + "</td>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(est).ToString("0.##E+0") + "</td>";
}
if (Math.Exp(lcl) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(lcl).ToString("F4") + "</td>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(lcl).ToString("0.##E+0") + "</td>";
}
if (Math.Exp(ucl) < 1000)
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(ucl).ToString("F4") + "</td></tr>";
}
else
{
iorOut = iorOut + "<td class=\"stats\" align=\"center\">" + Math.Exp(ucl).ToString("0.##E+0") + "</td></tr>";
}
}
}
}
return(iorOut + "</table>");
}
public static double[] MHStats(double a, double b, double c, double d, double P)
{
double[] MHStats = new double[15];
double z = 0.0;
if (P < 0.9500001 && P > 0.95 - 0.00001)
{
z = 1.96;
}
else if (P < 0.9900001 && P > 0.99 - 0.00001)
{
z = 2.58;
}
else if (P < 0.900001 && P > 0.9 + 0.00001)
{
z = 1.64;
}
else
{
z = SharedResources.ZFromP(P);
}
double n1 = a + b;
double n0 = c + d;
double m1 = a + c;
double m0 = b + d;
double n = m1 + m0;
double re = a / n1;
double ru = c / n0;
double r = m1 / n;
double pe = n1 / n;
if (b * c < 0.00000001)
{
MHStats[0] = -1.0;
MHStats[1] = -1.0;
MHStats[2] = -1.0;
}
else
{
MHStats[0] = (a * d) / (b * c);
if (d * a < 0.000001)
{
MHStats[1] = -1;
MHStats[2] = -1;
}
else
{
MHStats[1] = Math.Exp(Math.Log((a * d) / (b * c)) - z * Math.Sqrt(1 / a + 1 / b + 1 / c + 1 / d));
MHStats[2] = Math.Exp(Math.Log((a * d) / (b * c)) + z * Math.Sqrt(1 / a + 1 / b + 1 / c + 1 / d));
}
}
if (ru < 0.00001)
{
MHStats[3] = -1.0;
MHStats[4] = -1.0;
MHStats[5] = -1.0;
}
else
{
MHStats[3] = re / ru;
if (re < 0.00001)
{
MHStats[4] = -1.0;
MHStats[5] = -1.0;
}
else
{
MHStats[4] = Math.Exp(Math.Log((a / n1) / (c / n0)) - z * Math.Sqrt(d / (c * n0) + b / (n1 * a)));
MHStats[5] = Math.Exp(Math.Log((a / n1) / (c / n0)) + z * Math.Sqrt(d / (c * n0) + b / (n1 * a)));
}
}
MHStats[6] = (re - ru) * 100;
MHStats[7] = (re - ru - z * Math.Sqrt(re * (1 - re) / n1 + ru * (1 - ru) / n0)) * 100;
MHStats[8] = (re - ru + z * Math.Sqrt(re * (1 - re) / n1 + ru * (1 - ru) / n0)) * 100;
double h3 = m1 * m0 * n1 * n0;
double phi = ((a * d) - b * c) / Math.Sqrt(h3);
MHStats[9] = n * Math.Pow(phi, 2.0);
MHStats[10] = SharedResources.PValFromChiSq(MHStats[9], 1);
MHStats[11] = (n - 1) / h3 * Math.Pow((a * d - b * c), 2.0);
MHStats[12] = SharedResources.PValFromChiSq(MHStats[11], 1);
MHStats[13] = (n - 1) / h3 * Math.Pow((Math.Abs(a * d - b * c) - n * 0.5), 2.0);
MHStats[14] = SharedResources.PValFromChiSq(MHStats[13], 1.0);
return(MHStats);
}
