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Enum: StatisticalTestEnum

Statistical hypothesis tests, drawn primarily from the descendants of 'statistical hypothesis test' (OBI:0000673) in STATO.

This enum deliberately mixes abstraction levels: alongside concrete tests it retains STATO's grouping classes (GOODNESS_OF_FIT_TEST, HOMOSKEDASTICITY_TEST, SPHERICITY_TEST, POST_HOC_ANALYSIS, NON_PARAMETRIC_TEST and similar) so that a source reporting only "a test of normality was applied" can still be annotated. Prefer the most specific value that the source supports, and use a grouping value only when the specific test is genuinely not stated.

Several values are also repeated in the narrower enums below (TTestTypeEnum, NormalityTestEnum, HomoscedasticityTestEnum, PostHocTestEnum), which exist to constrain slot ranges. The duplicated meanings are intentional; from_meaning() resolves per enum class.

URI: valuesets:StatisticalTestEnum

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Permissible Values

Value Title Meaning Description Close Mappings Related Mappings Note
STUDENTS_T_TEST Student's t-test OBI:0000739 Test in which the test statistic follows a Student's t distribution under the null hypothesis; used when the population is assumed normal but the sample is small
ONE_SAMPLE_T_TEST one sample t-test STATO:0000302 Student's t-test comparing a sample mean against a specified population mean NCIT:C53240
PAIRED_T_TEST paired t-test STATO:0000095 Student's t-test for differences between paired observations, as in a repeated measures design with two measurements per subject NCIT:C53232
TWO_SAMPLE_T_TEST_EQUAL_VARIANCE two sample t-test with equal variance STATO:0000303 Two-sample t-test comparing the means of two independent samples assumed to have equal variances The bare terms "unpaired t-test" and "independent samples t-test" are ambiguous: they are attached here because this is the classical equal-variance form, but common software defaults to the Welch variant (R's t.test, scipy.stats.ttest_ind with equal_var=False). Choose TWO_SAMPLE_T_TEST_UNEQUAL_VARIANCE when the source did not assume equal variances.
TWO_SAMPLE_T_TEST_UNEQUAL_VARIANCE two sample t-test with unequal variance STATO:0000304 Two-sample t-test used when the variances of the two populations are not assumed equal This is the default two-sample t-test in R and SciPy, so an unqualified "unpaired t-test" in a methods section often means this rather than TWO_SAMPLE_T_TEST_EQUAL_VARIANCE.
YUEN_T_TEST Yuen t-Test with trimmed means STATO:0000406 Robust two-sample t-test computed on trimmed means and winsorized variances
Z_TEST Z-test STATO:0000052 Test evaluating the null hypothesis that the means of two populations are equal using a normal reference distribution
ONE_SAMPLE_HOTELLING_T2_TEST one sample Hotelling T2 test STATO:0000153 Multivariate extension of the one-sample t-test comparing a vector of means against a reference vector
TWO_SAMPLE_HOTELLING_T2_TEST two sample Hotelling T2 test STATO:0000098 Multivariate generalization of the two-sample t-test comparing mean vectors of two populations
ANOVA ANOVA OBI:0200201 Analysis of variance testing whether the means of several groups are equal
ONE_WAY_ANOVA one-way ANOVA STATO:0000044 Analysis of variance in which the groups compared correspond to the levels of a single independent variable
TWO_WAY_ANOVA two-way ANOVA STATO:0000045 Analysis of variance in which the groups compared correspond to the levels of exactly two independent variables
MULTIWAY_ANOVA multiway ANOVA STATO:0000048 Analysis of variance in which the groups compared correspond to the levels of more than two independent variables
REPEATED_MEASURES_ANOVA repeated measure ANOVA STATO:0000260 Analysis of variance developed for non-independent observations arising from repeated measurements on the same experimental unit
MANOVA multivariate analysis of variance STATO:0000454 Procedure for comparing multivariate sample means when there are two or more dependent variables
ANCOVA ANCOVA STATO:0000179 Analysis of covariance evaluating whether population means of a dependent variable are equal across levels of a categorical independent variable while controlling for covariates
F_TEST F-test STATO:0000086 Test in which the test statistic follows an F-distribution under the null hypothesis
MANN_WHITNEY_U_TEST Mann-Whitney U-test STATO:0000076 Non-parametric test comparing two independent groups without assuming normally distributed values NCIT:C53247
WILCOXON_SIGNED_RANK_TEST Wilcoxon signed rank test STATO:0000092 Non-parametric test of the null hypothesis that the median difference between paired observations is zero NCIT:C53246
KRUSKAL_WALLIS_TEST Kruskal Wallis test STATO:0000094 Non-parametric test comparing two or more groups without assuming normally distributed values NCIT:C53248
FRIEDMAN_TEST Friedman test STATO:0000641 Non-parametric test for differences among multiple related groups; extension of the Wilcoxon signed-rank test to more than two conditions
SIGN_TEST sign test STATO:0000644 Non-parametric test assessing whether the median of a population equals a specified value
CHI_SQUARE_TEST chi square test OBI:0200200 Test in which the sampling distribution of the test statistic is a chi-square distribution under the null hypothesis NCIT:C53235
PEARSON_CHI_SQUARE_TEST_OF_INDEPENDENCE Pearson's Chi square test of independence between categorical variables STATO:0000081 Chi-square test of the independence of two categorical variables in a contingency table
PEARSON_CHI_SQUARE_GOODNESS_OF_FIT_TEST Pearson's Chi square test of goodness of fit STATO:0000309 Chi-square test evaluating the goodness of fit of observed counts to an expected distribution
YATES_CORRECTED_CHI_SQUARE_TEST Yate's corrected Chi-Squared test STATO:0000070 Chi-square test of association between two dichotomous variables with a continuity correction
CHI_SQUARE_TEST_FOR_HOMOGENEITY Chi-square test for homogeneity STATO:0000701 Test comparing proportions observed across multiple groups using contingency table frequencies
FISHERS_EXACT_TEST Fisher's exact test STATO:0000073 Exact test for non-random association between two categorical variables NCIT:C45725
BARNARDS_TEST Barnard's test STATO:0000310 Exact unconditional test of association between two categorical variables, often more powerful than Fisher's exact test
MCNEMAR_TEST McNemar test STATO:0000433 Test applied to 2 x 2 contingency tables of paired nominal data to compare marginal frequencies
COCHRANS_Q_TEST Cochran's q test for heterogeneity STATO:0000434 Test for unreplicated randomized block designs with a binary response and paired data
COCHRAN_ARMITAGE_TEST_FOR_TREND Cochran-Armitage test for trend STATO:0000148 Test for association between a dichotomous variable and an ordered categorical variable
COCHRAN_MANTEL_HAENSZEL_TEST Cochran-Mantel-Haenzel test for repeated tests of independence STATO:0000074 Test of independence between two categorical variables stratified by a third variable
EXACT_BINOMIAL_TEST exact binomial test STATO:0000298 Test of the statistical significance of deviations from a theoretically expected distribution of observations into two categories
HYPERGEOMETRIC_TEST hypergeometric test STATO:0000285 Test evaluating whether a random variable follows a hypergeometric distribution; widely used for over-representation analysis
TEST_OF_ASSOCIATION_BETWEEN_CATEGORICAL_VARIABLES test of association between categorical variables STATO:0000027 Test evaluating whether a discrete predictor variable is associated with a discrete response variable
GOODNESS_OF_FIT_TEST goodness of fit statistical test STATO:0000191 Test evaluating whether a sample distribution can be considered equivalent to a theoretical distribution
SHAPIRO_WILK_TEST Shapiro-Wilk test STATO:0000077 Goodness of fit test of the null hypothesis that a sample is drawn from a normally distributed population
KOLMOGOROV_SMIRNOV_TEST Kolmogorov-Smirnov test STATO:0000083 Goodness of fit test of the null hypothesis that a sample is drawn from a specified continuous probability distribution NCIT:C53250
ANDERSON_DARLING_TEST Anderson-Darling test STATO:0000042 Goodness of fit test of whether a sample is drawn from a given probability distribution, weighting the tails more heavily
HOSMER_LEMESHOW_TEST Hosmer-Lemeshow goodness-of-fit test STATO:0000653 Goodness of fit test for logistic regression models comparing predicted probabilities against observed outcomes
LEVENES_TEST Levene's test STATO:0000078 Test of the null hypothesis of equality of variance across several populations
BARTLETTS_TEST Barlett's test STATO:0000079 Test of whether k samples are drawn from populations with equal variances; sensitive to departures from normality
BROWN_FORSYTHE_TEST Brown Forsythe test STATO:0000080 Test of equality of group variances based on deviations from the group medians
BREUSCH_PAGAN_TEST Breusch-Pagan test STATO:0000284 Score test of the hypothesis of constant error variance against the alternative that error variance depends on the fitted values
HOMOSKEDASTICITY_TEST homoskedasticity test STATO:0000137 Test evaluating whether variances from several random samples are similar
HOMOGENEITY_TEST homogeneity test STATO:0000697 Test evaluating whether a statistical measure computed from several random samples is similar
SPHERICITY_TEST sphericity test STATO:0000131 Test of the null hypothesis of equality of the variances of differences between levels of a repeated measures factor
MAUCHLYS_TEST Mauchly's test for sphericity STATO:0000199 Test of sphericity in the context of repeated measures analysis of variance
ODDS_RATIO_HOMOGENEITY_TEST odds ratio homogeneity test STATO:0000247 Test of the null hypothesis that odds ratios are consistent across strata of a population
BRESLOW_DAY_TEST Breslow-Day test for homogeneity of odds ratio STATO:0000130 Test of whether odds ratios are homogeneous across several 2x2 contingency tables
TARONES_TEST Tarone's test for homogeneity of odds ratio STATO:0000136 Test of the null hypothesis that odds ratios are homogeneous across strata
WOOLFS_TEST Woolf's test STATO:0000246 Test of the null hypothesis that odds ratios are the same across all strata of the population under investigation
POST_HOC_ANALYSIS post-hoc analysis STATO:0000133 Test carried out following an analysis of variance that rejected the null hypothesis, to identify which groups differ
TUKEY_HSD_TEST Tukey HSD for Post-Hoc Analysis STATO:0000187 Post-hoc test following a significant ANOVA that determines which means differ, controlling the family-wise error rate
NEWMAN_KEULS_TEST Newman-Keuls test post-hoc analysis STATO:0000261 Stepwise multiple comparison procedure identifying sample means that differ significantly, based on the studentized range statistic
SCHEFFE_TEST Scheffe test STATO:0000156 Conservative post-hoc procedure evaluating all possible contrasts while adjusting significance levels for multiple comparisons
LEAST_SIGNIFICANT_DIFFERENCE_TEST Least significance different test STATO:0000157 Post-hoc test for multiple comparisons of treatments by means of the least significant difference following an ANOVA
DUNNS_TEST Dunn’s multiple comparison test STATO:0000490 Non-parametric post-hoc test run after a Kruskal-Wallis test to identify which groups differ
CONOVER_IMAN_TEST Conover-Iman test of multiple comparisons using rank sums STATO:0000491 Post-hoc test for pairwise multiple comparisons using rank sums following a Kruskal-Wallis test
GRUBBS_TEST Grubbs' test STATO:0000441 Test detecting a single outlier in a univariate data set assumed to come from a normally distributed population
DIXON_Q_TEST Dixon Q test STATO:0000440 Test detecting outliers in a univariate data set assumed to come from a normally distributed population
TIETJEN_MOORE_TEST Tietjen-Moore test for outliers STATO:0000442 Generalization of Grubbs' test allowing detection of more than one outlier
GENERALIZED_ESD_TEST generalized extreme studentized deviate test STATO:0000443 Outlier detection test with a built-in correction for multiple testing
LIKELIHOOD_RATIO_TEST Likelihood-ratio test OBI:0000861 Test of whether there is evidence for moving from a simple model to a more complex model in which the simple model is nested
WALD_TEST Wald test STATO:0000559 Test evaluating whether one or more model coefficients differ from zero, given their variance-covariance matrix
LOG_RANK_TEST log-rank test STATO:0000640 Test comparing the survival distributions of two or more groups
HARDY_WEINBERG_EQUILIBRIUM_TEST Hardy-Weinberg equilibrium testing STATO:0000181 Test of whether a population's allele proportions are in Hardy-Weinberg equilibrium, often used as a genotyping quality control
TRANSMISSION_DISEQUILIBRIUM_TEST transmission disequilibrium test STATO:0000275 Test for genetic linkage between a genetic marker and a trait in families, robust to population structure
PEARSON_CORRELATION_TEST Pearson Correlation Test NCIT:C53244 Test of whether two continuous variables are linearly associated, based on Pearson's correlation coefficient STATO:0000280
SPEARMAN_CORRELATION_TEST Spearman Correlation Test NCIT:C53249 Non-parametric test of whether two variables are monotonically associated, based on Spearman's rank correlation coefficient STATO:0000201
AB_TEST A/B testing STATO:0000715 Statistical testing comparing two types of treatments or interventions
BETWEEN_GROUP_COMPARISON_TEST between group comparison statistical test STATO:0000279 Test detecting differences between the means computed for each study group population
WITHIN_SUBJECT_COMPARISON_TEST within subject comparison statistical test STATO:0000202 Test evaluating whether a change occurs within one experimental unit over time following a treatment or event
NON_PARAMETRIC_TEST non-parametric test STATO:0000198 Test making no assumption about the underlying data distribution NCIT:C53229

Slots

Name Description
statistical_test The statistical hypothesis test applied

See Also

Identifier and Mapping Information

Schema Source

  • from schema: https://w3id.org/valuesets

LinkML Source

name: StatisticalTestEnum
instantiates:
- valuesets_meta:ValueSetEnumDefinition
description: 'Statistical hypothesis tests, drawn primarily from the descendants of
  ''statistical hypothesis test'' (OBI:0000673) in STATO.

  This enum deliberately mixes abstraction levels: alongside concrete tests it retains
  STATO''s grouping classes (GOODNESS_OF_FIT_TEST, HOMOSKEDASTICITY_TEST, SPHERICITY_TEST,
  POST_HOC_ANALYSIS, NON_PARAMETRIC_TEST and similar) so that a source reporting only
  "a test of normality was applied" can still be annotated. Prefer the most specific
  value that the source supports, and use a grouping value only when the specific
  test is genuinely not stated.

  Several values are also repeated in the narrower enums below (TTestTypeEnum, NormalityTestEnum,
  HomoscedasticityTestEnum, PostHocTestEnum), which exist to constrain slot ranges.
  The duplicated meanings are intentional; from_meaning() resolves per enum class.'
title: Statistical Test
from_schema: https://w3id.org/valuesets
see_also:
- http://purl.obolibrary.org/obo/OBI_0000673
- https://obofoundry.org/ontology/stato.html
contributors:
- orcid:0000-0002-6601-2165
- https://github.com/anthropics/claude-code
status: DRAFT
rank: 1000
permissible_values:
  STUDENTS_T_TEST:
    text: STUDENTS_T_TEST
    description: Test in which the test statistic follows a Student's t distribution
      under the null hypothesis; used when the population is assumed normal but the
      sample is small
    meaning: OBI:0000739
    title: Student's t-test
    aliases:
    - t-test
    - t-Test
  ONE_SAMPLE_T_TEST:
    text: ONE_SAMPLE_T_TEST
    description: Student's t-test comparing a sample mean against a specified population
      mean
    meaning: STATO:0000302
    title: one sample t-test
    close_mappings:
    - NCIT:C53240
  PAIRED_T_TEST:
    text: PAIRED_T_TEST
    description: Student's t-test for differences between paired observations, as
      in a repeated measures design with two measurements per subject
    meaning: STATO:0000095
    title: paired t-test
    close_mappings:
    - NCIT:C53232
  TWO_SAMPLE_T_TEST_EQUAL_VARIANCE:
    text: TWO_SAMPLE_T_TEST_EQUAL_VARIANCE
    description: Two-sample t-test comparing the means of two independent samples
      assumed to have equal variances
    meaning: STATO:0000303
    annotations:
      note:
        tag: note
        value: 'The bare terms "unpaired t-test" and "independent samples t-test"
          are ambiguous: they are attached here because this is the classical equal-variance
          form, but common software defaults to the Welch variant (R''s t.test, scipy.stats.ttest_ind
          with equal_var=False). Choose TWO_SAMPLE_T_TEST_UNEQUAL_VARIANCE when the
          source did not assume equal variances.'
    title: two sample t-test with equal variance
    aliases:
    - independent samples t-test
    - unpaired t-test
  TWO_SAMPLE_T_TEST_UNEQUAL_VARIANCE:
    text: TWO_SAMPLE_T_TEST_UNEQUAL_VARIANCE
    description: Two-sample t-test used when the variances of the two populations
      are not assumed equal
    meaning: STATO:0000304
    annotations:
      note:
        tag: note
        value: This is the default two-sample t-test in R and SciPy, so an unqualified
          "unpaired t-test" in a methods section often means this rather than TWO_SAMPLE_T_TEST_EQUAL_VARIANCE.
    title: two sample t-test with unequal variance
    aliases:
    - Welch's t-test
  YUEN_T_TEST:
    text: YUEN_T_TEST
    description: Robust two-sample t-test computed on trimmed means and winsorized
      variances
    meaning: STATO:0000406
    title: Yuen t-Test with trimmed means
  Z_TEST:
    text: Z_TEST
    description: Test evaluating the null hypothesis that the means of two populations
      are equal using a normal reference distribution
    meaning: STATO:0000052
    title: Z-test
  ONE_SAMPLE_HOTELLING_T2_TEST:
    text: ONE_SAMPLE_HOTELLING_T2_TEST
    description: Multivariate extension of the one-sample t-test comparing a vector
      of means against a reference vector
    meaning: STATO:0000153
    title: one sample Hotelling T2 test
  TWO_SAMPLE_HOTELLING_T2_TEST:
    text: TWO_SAMPLE_HOTELLING_T2_TEST
    description: Multivariate generalization of the two-sample t-test comparing mean
      vectors of two populations
    meaning: STATO:0000098
    title: two sample Hotelling T2 test
  ANOVA:
    text: ANOVA
    description: Analysis of variance testing whether the means of several groups
      are equal
    meaning: OBI:0200201
    title: ANOVA
    aliases:
    - analysis of variance
  ONE_WAY_ANOVA:
    text: ONE_WAY_ANOVA
    description: Analysis of variance in which the groups compared correspond to the
      levels of a single independent variable
    meaning: STATO:0000044
    title: one-way ANOVA
  TWO_WAY_ANOVA:
    text: TWO_WAY_ANOVA
    description: Analysis of variance in which the groups compared correspond to the
      levels of exactly two independent variables
    meaning: STATO:0000045
    title: two-way ANOVA
  MULTIWAY_ANOVA:
    text: MULTIWAY_ANOVA
    description: Analysis of variance in which the groups compared correspond to the
      levels of more than two independent variables
    meaning: STATO:0000048
    title: multiway ANOVA
  REPEATED_MEASURES_ANOVA:
    text: REPEATED_MEASURES_ANOVA
    description: Analysis of variance developed for non-independent observations arising
      from repeated measurements on the same experimental unit
    meaning: STATO:0000260
    title: repeated measure ANOVA
  MANOVA:
    text: MANOVA
    description: Procedure for comparing multivariate sample means when there are
      two or more dependent variables
    meaning: STATO:0000454
    title: multivariate analysis of variance
  ANCOVA:
    text: ANCOVA
    description: Analysis of covariance evaluating whether population means of a dependent
      variable are equal across levels of a categorical independent variable while
      controlling for covariates
    meaning: STATO:0000179
    title: ANCOVA
    aliases:
    - analysis of covariance
  F_TEST:
    text: F_TEST
    description: Test in which the test statistic follows an F-distribution under
      the null hypothesis
    meaning: STATO:0000086
    title: F-test
  MANN_WHITNEY_U_TEST:
    text: MANN_WHITNEY_U_TEST
    description: Non-parametric test comparing two independent groups without assuming
      normally distributed values
    meaning: STATO:0000076
    title: Mann-Whitney U-test
    aliases:
    - Wilcoxon rank sum test
    - Mann-Whitney Test
    close_mappings:
    - NCIT:C53247
  WILCOXON_SIGNED_RANK_TEST:
    text: WILCOXON_SIGNED_RANK_TEST
    description: Non-parametric test of the null hypothesis that the median difference
      between paired observations is zero
    meaning: STATO:0000092
    title: Wilcoxon signed rank test
    close_mappings:
    - NCIT:C53246
  KRUSKAL_WALLIS_TEST:
    text: KRUSKAL_WALLIS_TEST
    description: Non-parametric test comparing two or more groups without assuming
      normally distributed values
    meaning: STATO:0000094
    title: Kruskal Wallis test
    aliases:
    - Kruskal-Wallis Test
    close_mappings:
    - NCIT:C53248
  FRIEDMAN_TEST:
    text: FRIEDMAN_TEST
    description: Non-parametric test for differences among multiple related groups;
      extension of the Wilcoxon signed-rank test to more than two conditions
    meaning: STATO:0000641
    title: Friedman test
  SIGN_TEST:
    text: SIGN_TEST
    description: Non-parametric test assessing whether the median of a population
      equals a specified value
    meaning: STATO:0000644
    title: sign test
  CHI_SQUARE_TEST:
    text: CHI_SQUARE_TEST
    description: Test in which the sampling distribution of the test statistic is
      a chi-square distribution under the null hypothesis
    meaning: OBI:0200200
    title: chi square test
    close_mappings:
    - NCIT:C53235
  PEARSON_CHI_SQUARE_TEST_OF_INDEPENDENCE:
    text: PEARSON_CHI_SQUARE_TEST_OF_INDEPENDENCE
    description: Chi-square test of the independence of two categorical variables
      in a contingency table
    meaning: STATO:0000081
    title: Pearson's Chi square test of independence between categorical variables
  PEARSON_CHI_SQUARE_GOODNESS_OF_FIT_TEST:
    text: PEARSON_CHI_SQUARE_GOODNESS_OF_FIT_TEST
    description: Chi-square test evaluating the goodness of fit of observed counts
      to an expected distribution
    meaning: STATO:0000309
    title: Pearson's Chi square test of goodness of fit
  YATES_CORRECTED_CHI_SQUARE_TEST:
    text: YATES_CORRECTED_CHI_SQUARE_TEST
    description: Chi-square test of association between two dichotomous variables
      with a continuity correction
    meaning: STATO:0000070
    title: Yate's corrected Chi-Squared test
    aliases:
    - Yates' chi-squared test
  CHI_SQUARE_TEST_FOR_HOMOGENEITY:
    text: CHI_SQUARE_TEST_FOR_HOMOGENEITY
    description: Test comparing proportions observed across multiple groups using
      contingency table frequencies
    meaning: STATO:0000701
    title: Chi-square test for homogeneity
  FISHERS_EXACT_TEST:
    text: FISHERS_EXACT_TEST
    description: Exact test for non-random association between two categorical variables
    meaning: STATO:0000073
    title: Fisher's exact test
    close_mappings:
    - NCIT:C45725
  BARNARDS_TEST:
    text: BARNARDS_TEST
    description: Exact unconditional test of association between two categorical variables,
      often more powerful than Fisher's exact test
    meaning: STATO:0000310
    title: Barnard's test
  MCNEMAR_TEST:
    text: MCNEMAR_TEST
    description: Test applied to 2 x 2 contingency tables of paired nominal data to
      compare marginal frequencies
    meaning: STATO:0000433
    title: McNemar test
  COCHRANS_Q_TEST:
    text: COCHRANS_Q_TEST
    description: Test for unreplicated randomized block designs with a binary response
      and paired data
    meaning: STATO:0000434
    title: Cochran's q test for heterogeneity
  COCHRAN_ARMITAGE_TEST_FOR_TREND:
    text: COCHRAN_ARMITAGE_TEST_FOR_TREND
    description: Test for association between a dichotomous variable and an ordered
      categorical variable
    meaning: STATO:0000148
    title: Cochran-Armitage test for trend
  COCHRAN_MANTEL_HAENSZEL_TEST:
    text: COCHRAN_MANTEL_HAENSZEL_TEST
    description: Test of independence between two categorical variables stratified
      by a third variable
    meaning: STATO:0000074
    title: Cochran-Mantel-Haenzel test for repeated tests of independence
    aliases:
    - Cochran-Mantel-Haenszel test
  EXACT_BINOMIAL_TEST:
    text: EXACT_BINOMIAL_TEST
    description: Test of the statistical significance of deviations from a theoretically
      expected distribution of observations into two categories
    meaning: STATO:0000298
    title: exact binomial test
    aliases:
    - binomial test
  HYPERGEOMETRIC_TEST:
    text: HYPERGEOMETRIC_TEST
    description: Test evaluating whether a random variable follows a hypergeometric
      distribution; widely used for over-representation analysis
    meaning: STATO:0000285
    title: hypergeometric test
    aliases:
    - over-representation test
  TEST_OF_ASSOCIATION_BETWEEN_CATEGORICAL_VARIABLES:
    text: TEST_OF_ASSOCIATION_BETWEEN_CATEGORICAL_VARIABLES
    description: Test evaluating whether a discrete predictor variable is associated
      with a discrete response variable
    meaning: STATO:0000027
    title: test of association between categorical variables
  GOODNESS_OF_FIT_TEST:
    text: GOODNESS_OF_FIT_TEST
    description: Test evaluating whether a sample distribution can be considered equivalent
      to a theoretical distribution
    meaning: STATO:0000191
    title: goodness of fit statistical test
  SHAPIRO_WILK_TEST:
    text: SHAPIRO_WILK_TEST
    description: Goodness of fit test of the null hypothesis that a sample is drawn
      from a normally distributed population
    meaning: STATO:0000077
    title: Shapiro-Wilk test
  KOLMOGOROV_SMIRNOV_TEST:
    text: KOLMOGOROV_SMIRNOV_TEST
    description: Goodness of fit test of the null hypothesis that a sample is drawn
      from a specified continuous probability distribution
    meaning: STATO:0000083
    title: Kolmogorov-Smirnov test
    close_mappings:
    - NCIT:C53250
  ANDERSON_DARLING_TEST:
    text: ANDERSON_DARLING_TEST
    description: Goodness of fit test of whether a sample is drawn from a given probability
      distribution, weighting the tails more heavily
    meaning: STATO:0000042
    title: Anderson-Darling test
  HOSMER_LEMESHOW_TEST:
    text: HOSMER_LEMESHOW_TEST
    description: Goodness of fit test for logistic regression models comparing predicted
      probabilities against observed outcomes
    meaning: STATO:0000653
    title: Hosmer-Lemeshow goodness-of-fit test
  LEVENES_TEST:
    text: LEVENES_TEST
    description: Test of the null hypothesis of equality of variance across several
      populations
    meaning: STATO:0000078
    title: Levene's test
  BARTLETTS_TEST:
    text: BARTLETTS_TEST
    description: Test of whether k samples are drawn from populations with equal variances;
      sensitive to departures from normality
    meaning: STATO:0000079
    title: Barlett's test
    aliases:
    - Bartlett's test
  BROWN_FORSYTHE_TEST:
    text: BROWN_FORSYTHE_TEST
    description: Test of equality of group variances based on deviations from the
      group medians
    meaning: STATO:0000080
    title: Brown Forsythe test
  BREUSCH_PAGAN_TEST:
    text: BREUSCH_PAGAN_TEST
    description: Score test of the hypothesis of constant error variance against the
      alternative that error variance depends on the fitted values
    meaning: STATO:0000284
    title: Breusch-Pagan test
  HOMOSKEDASTICITY_TEST:
    text: HOMOSKEDASTICITY_TEST
    description: Test evaluating whether variances from several random samples are
      similar
    meaning: STATO:0000137
    title: homoskedasticity test
    aliases:
    - homoscedasticity test
  HOMOGENEITY_TEST:
    text: HOMOGENEITY_TEST
    description: Test evaluating whether a statistical measure computed from several
      random samples is similar
    meaning: STATO:0000697
    title: homogeneity test
  SPHERICITY_TEST:
    text: SPHERICITY_TEST
    description: Test of the null hypothesis of equality of the variances of differences
      between levels of a repeated measures factor
    meaning: STATO:0000131
    title: sphericity test
  MAUCHLYS_TEST:
    text: MAUCHLYS_TEST
    description: Test of sphericity in the context of repeated measures analysis of
      variance
    meaning: STATO:0000199
    title: Mauchly's test for sphericity
  ODDS_RATIO_HOMOGENEITY_TEST:
    text: ODDS_RATIO_HOMOGENEITY_TEST
    description: Test of the null hypothesis that odds ratios are consistent across
      strata of a population
    meaning: STATO:0000247
    title: odds ratio homogeneity test
  BRESLOW_DAY_TEST:
    text: BRESLOW_DAY_TEST
    description: Test of whether odds ratios are homogeneous across several 2x2 contingency
      tables
    meaning: STATO:0000130
    title: Breslow-Day test for homogeneity of odds ratio
  TARONES_TEST:
    text: TARONES_TEST
    description: Test of the null hypothesis that odds ratios are homogeneous across
      strata
    meaning: STATO:0000136
    title: Tarone's test for homogeneity of odds ratio
  WOOLFS_TEST:
    text: WOOLFS_TEST
    description: Test of the null hypothesis that odds ratios are the same across
      all strata of the population under investigation
    meaning: STATO:0000246
    title: Woolf's test
  POST_HOC_ANALYSIS:
    text: POST_HOC_ANALYSIS
    description: Test carried out following an analysis of variance that rejected
      the null hypothesis, to identify which groups differ
    meaning: STATO:0000133
    title: post-hoc analysis
  TUKEY_HSD_TEST:
    text: TUKEY_HSD_TEST
    description: Post-hoc test following a significant ANOVA that determines which
      means differ, controlling the family-wise error rate
    meaning: STATO:0000187
    title: Tukey HSD for Post-Hoc Analysis
    aliases:
    - Tukey honestly significant difference test
  NEWMAN_KEULS_TEST:
    text: NEWMAN_KEULS_TEST
    description: Stepwise multiple comparison procedure identifying sample means that
      differ significantly, based on the studentized range statistic
    meaning: STATO:0000261
    title: Newman-Keuls test post-hoc analysis
    aliases:
    - Student-Newman-Keuls test
  SCHEFFE_TEST:
    text: SCHEFFE_TEST
    description: Conservative post-hoc procedure evaluating all possible contrasts
      while adjusting significance levels for multiple comparisons
    meaning: STATO:0000156
    title: Scheffe test
    aliases:
    - Scheffé test
  LEAST_SIGNIFICANT_DIFFERENCE_TEST:
    text: LEAST_SIGNIFICANT_DIFFERENCE_TEST
    description: Post-hoc test for multiple comparisons of treatments by means of
      the least significant difference following an ANOVA
    meaning: STATO:0000157
    title: Least significance different test
    aliases:
    - Fisher's LSD test
    - Least significant difference test
  DUNNS_TEST:
    text: DUNNS_TEST
    description: Non-parametric post-hoc test run after a Kruskal-Wallis test to identify
      which groups differ
    meaning: STATO:0000490
    title: Dunn’s multiple comparison test
    aliases:
    - Dunn's multiple comparison test
  CONOVER_IMAN_TEST:
    text: CONOVER_IMAN_TEST
    description: Post-hoc test for pairwise multiple comparisons using rank sums following
      a Kruskal-Wallis test
    meaning: STATO:0000491
    title: Conover-Iman test of multiple comparisons using rank sums
  GRUBBS_TEST:
    text: GRUBBS_TEST
    description: Test detecting a single outlier in a univariate data set assumed
      to come from a normally distributed population
    meaning: STATO:0000441
    title: Grubbs' test
  DIXON_Q_TEST:
    text: DIXON_Q_TEST
    description: Test detecting outliers in a univariate data set assumed to come
      from a normally distributed population
    meaning: STATO:0000440
    title: Dixon Q test
  TIETJEN_MOORE_TEST:
    text: TIETJEN_MOORE_TEST
    description: Generalization of Grubbs' test allowing detection of more than one
      outlier
    meaning: STATO:0000442
    title: Tietjen-Moore test for outliers
  GENERALIZED_ESD_TEST:
    text: GENERALIZED_ESD_TEST
    description: Outlier detection test with a built-in correction for multiple testing
    meaning: STATO:0000443
    title: generalized extreme studentized deviate test
    aliases:
    - generalized ESD test
  LIKELIHOOD_RATIO_TEST:
    text: LIKELIHOOD_RATIO_TEST
    description: Test of whether there is evidence for moving from a simple model
      to a more complex model in which the simple model is nested
    meaning: OBI:0000861
    title: Likelihood-ratio test
  WALD_TEST:
    text: WALD_TEST
    description: Test evaluating whether one or more model coefficients differ from
      zero, given their variance-covariance matrix
    meaning: STATO:0000559
    title: Wald test
    aliases:
    - Wald chi-squared test
  LOG_RANK_TEST:
    text: LOG_RANK_TEST
    description: Test comparing the survival distributions of two or more groups
    meaning: STATO:0000640
    title: log-rank test
    aliases:
    - logrank test
  HARDY_WEINBERG_EQUILIBRIUM_TEST:
    text: HARDY_WEINBERG_EQUILIBRIUM_TEST
    description: Test of whether a population's allele proportions are in Hardy-Weinberg
      equilibrium, often used as a genotyping quality control
    meaning: STATO:0000181
    title: Hardy-Weinberg equilibrium testing
  TRANSMISSION_DISEQUILIBRIUM_TEST:
    text: TRANSMISSION_DISEQUILIBRIUM_TEST
    description: Test for genetic linkage between a genetic marker and a trait in
      families, robust to population structure
    meaning: STATO:0000275
    title: transmission disequilibrium test
  PEARSON_CORRELATION_TEST:
    text: PEARSON_CORRELATION_TEST
    description: Test of whether two continuous variables are linearly associated,
      based on Pearson's correlation coefficient
    meaning: NCIT:C53244
    title: Pearson Correlation Test
    related_mappings:
    - STATO:0000280
  SPEARMAN_CORRELATION_TEST:
    text: SPEARMAN_CORRELATION_TEST
    description: Non-parametric test of whether two variables are monotonically associated,
      based on Spearman's rank correlation coefficient
    meaning: NCIT:C53249
    title: Spearman Correlation Test
    related_mappings:
    - STATO:0000201
  AB_TEST:
    text: AB_TEST
    description: Statistical testing comparing two types of treatments or interventions
    meaning: STATO:0000715
    title: A/B testing
  BETWEEN_GROUP_COMPARISON_TEST:
    text: BETWEEN_GROUP_COMPARISON_TEST
    description: Test detecting differences between the means computed for each study
      group population
    meaning: STATO:0000279
    title: between group comparison statistical test
  WITHIN_SUBJECT_COMPARISON_TEST:
    text: WITHIN_SUBJECT_COMPARISON_TEST
    description: Test evaluating whether a change occurs within one experimental unit
      over time following a treatment or event
    meaning: STATO:0000202
    title: within subject comparison statistical test
  NON_PARAMETRIC_TEST:
    text: NON_PARAMETRIC_TEST
    description: Test making no assumption about the underlying data distribution
    meaning: STATO:0000198
    title: non-parametric test
    close_mappings:
    - NCIT:C53229