feat(analyze): add the gehan generalized wilcoxon test

The rank-sum carried over to right-censored samples: every pair of runs is
scored by which one outlived the other, and a pair censoring cannot order
counts as half rather than as a difference neither run supports. The effect
size and the p-value are the same statistic, and with nothing censored both
are exactly what the rank-sum reports.
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pj committed 2026-08-18 20:13:05 +05:30
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package main
import "math"
// gehanResult is one pairwise comparison of two arms of right-censored runs: an
// effect size, the run pairs that have no order between them, and the test of
// the same statistic against the null of equal hazards.
type gehanResult struct {
FirstSize int
SecondSize int
Statistic float64
A12 float64
Unordered int
PValue float64
}
// outlives orders two runs the only way right-censoring allows. A run censored
// at step t violated at no step up to t and stopped for a reason of its own, so
// it outlives a violation at or before t and nothing orders it against a
// violation after t or against another censored run. Comparing the two step
// counts as plain numbers instead reads a run the wall clock stopped at step 12
// as one that violated at step 12.
func outlives(left, right observation) int {
switch {
case left.Event && right.Event:
switch {
case left.Steps > right.Steps:
return 1
case left.Steps < right.Steps:
return -1
}
case left.Event:
if right.Steps >= left.Steps {
return -1
}
case right.Event:
if left.Steps >= right.Steps {
return 1
}
}
return 0
}
// atRiskWeight is Gehan's weight: an event counts for as many runs as were still
// at risk when it happened. It is what makes the weighted log-rank statistic the
// same quantity as the pairwise count below, so the effect size and the p-value
// are one statistic rather than two that can disagree.
func atRiskWeight(atRisk float64) float64 { return atRisk }
// gehanTest is the Gehan-Breslow generalized Wilcoxon test: the rank-sum
// carried over to right-censored samples by scoring every pair of runs by which
// one outlived the other and leaving the pairs censoring cannot order out of the
// count. Gehan (1965), "A Generalized Wilcoxon Test for Comparing Arbitrarily
// Singly-Censored Samples", Biometrika 52(1-2), 203-223; Breslow (1970).
//
// Statistic is that count, U, and A12 is it over the number of pairs: the share
// of run pairs in which the first arm survived longer, an unordered pair
// counting as half. With nothing censored the two are exactly the Mann-Whitney U
// and the Vargha-Delaney A12 the uncensored rank-sum reports. Where censoring
// leaves a pair unordered, the half it contributes is the null value, so an
// unordered pair can only pull the effect size toward 0.5 and can never
// manufacture a direction.
//
// The p-value is the same statistic standardized: the weighted log-rank with
// Gehan's weight has this U for its statistic, and its variance is the
// conditional hypergeometric one summed over event times, which is what keeps
// the test honest when the arms censor on different schedules. The permutation
// variance Gehan originally paired with the statistic does not.
func gehanTest(first, second []observation) gehanResult {
result := gehanResult{
FirstSize: len(first),
SecondSize: len(second),
Statistic: math.NaN(),
A12: math.NaN(),
PValue: math.NaN(),
}
if len(first) == 0 || len(second) == 0 {
return result
}
outlived := 0.0
for _, left := range first {
for _, right := range second {
switch outlives(left, right) {
case 1:
outlived++
case 0:
outlived += 0.5
result.Unordered++
}
}
}
result.Statistic = outlived
result.A12 = outlived / float64(len(first)*len(second))
test := weightedLogRank([]string{"first", "second"}, [][]observation{first, second}, atRiskWeight)
result.PValue = test.PValue
return result
}
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package main
import (
"math"
"testing"
)
func tiedPairs(first, second []float64) int {
tied := 0
for _, left := range first {
for _, right := range second {
if left == right {
tied++
}
}
}
return tied
}
func events(values []float64) []observation {
items := make([]observation, 0, len(values))
for _, value := range values {
items = append(items, observation{Steps: value, Event: true})
}
return items
}
// Every ordering censoring supports and every ordering it does not.
func TestOutlives_OrdersOnlyWhatTheCensoringSupports(t *testing.T) {
cases := []struct {
name string
left, right observation
want int
}{
{"two violations", observation{30, true}, observation{10, true}, 1},
{"two violations the other way", observation{10, true}, observation{30, true}, -1},
{"two violations at the same step", observation{10, true}, observation{10, true}, 0},
{"censored after the violation", observation{30, false}, observation{10, true}, 1},
{"censored on the violation's own step", observation{10, false}, observation{10, true}, 1},
{"censored before the violation", observation{10, false}, observation{30, true}, 0},
{"violation before the censoring", observation{10, true}, observation{30, false}, -1},
{"violation after the censoring", observation{30, true}, observation{10, false}, 0},
{"both censored", observation{10, false}, observation{30, false}, 0},
}
for _, test := range cases {
if got := outlives(test.left, test.right); got != test.want {
t.Errorf("%s: %v against %v ordered %+d, want %+d", test.name, test.left, test.right, got, test.want)
}
}
}
// With nothing censored the test is the rank-sum, so its statistic and effect
// size have to be the ones the rank-sum reports on the same numbers, ties
// included.
func TestGehanTest_ReducesToTheRankSumWhenNothingIsCensored(t *testing.T) {
cases := [][2][]float64{
{chorioamnionTerm, chorioamnionEarly},
{{1, 2, 3, 4}, {3, 4, 5, 6}},
{{40, 40, 40}, {40, 40, 40, 40}},
{{5, 6, 7}, {1, 2}},
{{3}, {9}},
}
for _, test := range cases {
result := gehanTest(events(test[0]), events(test[1]))
reference := rankSum(test[0], test[1])
if result.Statistic != reference.Statistic {
t.Errorf("u %v over %v and %v, want the rank-sum's %v",
result.Statistic, test[0], test[1], reference.Statistic)
}
if result.A12 != reference.A12 {
t.Errorf("a12 %v over %v and %v, want the rank-sum's %v",
result.A12, test[0], test[1], reference.A12)
}
if want := tiedPairs(test[0], test[1]); result.Unordered != want {
t.Errorf("%d unordered pair(s) over %v and %v, want the %d tied ones and no others",
result.Unordered, test[0], test[1], want)
}
}
}
// The failure the flattening produced: an arm the wall clock stopped at step 12
// says nothing about step 100, so there is no difference to find and no
// direction to report.
func TestGehanTest_RunsStoppedBeforeEveryViolationOrderNothing(t *testing.T) {
stopped := []observation{{12, false}, {12, false}, {12, false}, {12, false}}
violated := []observation{{100, true}, {100, true}, {100, true}}
result := gehanTest(stopped, violated)
if result.Unordered != 12 || result.A12 != 0.5 {
t.Errorf("%d of 12 pairs unordered, a12 %v, want all of them and 0.5", result.Unordered, result.A12)
}
if result.PValue < 0.05 {
t.Errorf("p %v, want no difference between arms never observed over the same steps", result.PValue)
}
}
// A censored run outliving a violation is evidence, and it is the only kind the
// wall-clock case leaves: four runs still clean at step 12 against three
// violations by step 5.
func TestGehanTest_CensoringLeavesTheEvidenceItDoesSupport(t *testing.T) {
stopped := []observation{{12, false}, {12, false}, {12, false}, {12, false}}
violated := []observation{{5, true}, {5, true}, {5, true}}
result := gehanTest(stopped, violated)
if result.Unordered != 0 || result.Statistic != 12 || result.A12 != 1 {
t.Errorf("result %+v, want every pair ordered for the arm that had not violated", result)
}
if result.PValue > 0.05 {
t.Errorf("p %v, want the arms to separate", result.PValue)
}
}
func riskAndDeaths(group []observation, steps float64) (float64, float64) {
atRisk, deaths := 0.0, 0.0
for _, item := range group {
if item.Steps >= steps {
atRisk++
}
if item.Steps == steps && item.Event {
deaths++
}
}
return atRisk, deaths
}
// gehanReference is Gehan's statistic and its conditional variance written
// straight from the definitions,
//
// S = sum over event times of (Y2*d1 - Y1*d2)
// V = sum over event times of d(Y-d)/(Y-1) * Y1*Y2
//
// which is an independent calculation rather than a second call into the code
// under test.
func gehanReference(first, second []observation) (float64, float64) {
pooled := append(append([]observation{}, first...), second...)
statistic, variance := 0.0, 0.0
for _, steps := range distinctSteps(pooled) {
firstAtRisk, firstDeaths := riskAndDeaths(first, steps)
secondAtRisk, secondDeaths := riskAndDeaths(second, steps)
deaths := firstDeaths + secondDeaths
if deaths == 0 {
continue
}
atRisk := firstAtRisk + secondAtRisk
statistic += secondAtRisk*firstDeaths - firstAtRisk*secondDeaths
if atRisk > 1 {
variance += deaths * (atRisk - deaths) / (atRisk - 1) * firstAtRisk * secondAtRisk
}
}
return statistic, variance
}
// The effect size and the p-value have to be the same statistic seen twice, or
// the report can carry a direction its p-value does not support. Counting run
// pairs and accumulating over risk sets are two routes to Gehan's statistic, and
// they are tied by S = mn - 2U.
func TestGehanTest_PairCountAndRiskSetAgreeOnOneStatistic(t *testing.T) {
cases := []struct {
name string
first, second []observation
}{
{"6-mp against placebo", gehanSixMercaptopurine, gehanPlacebo},
{"maintained against nonmaintained", amlMaintained, amlNonmaintained},
{"stopped short against violating late", []observation{{12, false}, {12, false}, {14, false}},
[]observation{{5, true}, {100, true}, {100, true}}},
{"censoring tied with an event", []observation{{20, false}, {20, true}, {35, true}},
[]observation{{20, true}, {20, false}, {9, true}}},
}
for _, test := range cases {
result := gehanTest(test.first, test.second)
statistic, variance := gehanReference(test.first, test.second)
pairs := float64(len(test.first) * len(test.second))
if got := pairs - 2*result.Statistic; math.Abs(got-statistic) > 1e-9 {
t.Errorf("%s: pair count gives a statistic of %v, the risk sets give %v", test.name, got, statistic)
}
expected := chiSquareUpperTail(statistic*statistic/variance, 1)
if math.Abs(result.PValue-expected) > 1e-12 {
t.Errorf("%s: p %v, want %v from statistic %v over variance %v",
test.name, result.PValue, expected, statistic, variance)
}
}
}
// The 6-MP trial is the dataset the test is named for. Its log-rank result is
// checked elsewhere against the published one; here the generalized Wilcoxon
// has to reach the same conclusion, with the maintained arm outliving the
// placebo arm on both routes.
func TestGehanTest_SeparatesThePublishedLeukaemiaTrial(t *testing.T) {
result := gehanTest(gehanSixMercaptopurine, gehanPlacebo)
if result.A12 <= 0.5 {
t.Errorf("a12 %v, want the 6-mp arm to outlive the placebo arm", result.A12)
}
if result.PValue > 0.001 {
t.Errorf("p %v, want the arms to separate as the log-rank has them separate", result.PValue)
}
logRankResult := logRank([]string{"6-mp", "placebo"},
[][]observation{gehanSixMercaptopurine, gehanPlacebo})
if logRankResult.PValue > 0.001 {
t.Fatalf("log-rank p %v: the comparison being made is not the one this test assumes", logRankResult.PValue)
}
}
func censoredAt(count int, steps float64) []observation {
items := make([]observation, 0, count)
for index := 0; index < count; index++ {
items = append(items, observation{Steps: steps})
}
return items
}
// A specification whose violations are all obligations reported when the run
// ends puts every event on one step, and the comparison collapses to a single
// two-by-two table of violated against clean. The statistic there is the
// Mantel-Haenszel chi-square of that table,
//
// (N-1)(ad-bc)^2 / ((a+b)(c+d)(a+c)(b+d))
//
// and the (Y-d)/(Y-1) term in the variance is what carries the (N-1)/N that
// separates it from the Pearson chi-square. Nothing else in the pipeline
// exercises that term hard, because tied events are otherwise rare.
func TestGehanTest_EveryViolationOnOneStepIsTheMantelHaenszelTable(t *testing.T) {
cases := [][4]int{{30, 20, 10, 40}, {25, 25, 15, 35}, {20, 20, 12, 28}}
for _, test := range cases {
firstEvents, firstCensored, secondEvents, secondCensored := test[0], test[1], test[2], test[3]
first := append(events(repeated(firstEvents, 400)), censoredAt(firstCensored, 400)...)
second := append(events(repeated(secondEvents, 400)), censoredAt(secondCensored, 400)...)
total := float64(firstEvents + firstCensored + secondEvents + secondCensored)
crossProduct := float64(firstEvents*secondCensored - firstCensored*secondEvents)
chiSquare := (total - 1) * crossProduct * crossProduct /
(float64(firstEvents+firstCensored) * float64(secondEvents+secondCensored) *
float64(firstEvents+secondEvents) * float64(firstCensored+secondCensored))
got := gehanTest(first, second).PValue
want := chiSquareUpperTail(chiSquare, 1)
if math.Abs(got-want) > 1e-12 {
t.Errorf("%v: p %v, want the table's %v from chi-square %v", test, got, want, chiSquare)
}
}
}
func repeated(count int, value float64) []float64 {
values := make([]float64, 0, count)
for index := 0; index < count; index++ {
values = append(values, value)
}
return values
}
func TestGehanTest_EmptyArmHasNoComparison(t *testing.T) {
result := gehanTest(nil, []observation{{5, true}})
if !math.IsNaN(result.PValue) || !math.IsNaN(result.A12) || !math.IsNaN(result.Statistic) {
t.Errorf("result %+v, want everything undefined", result)
}
}