KnowraSimpson's paradoxLinked fromLinked fromThe 22 pages that link to Simpson's paradox, each with the reason it gives.All 22Broader topic 3Related 16Compared with 3Causal inferenceRelated: The reversal illustrates how group composition can distort apparent causal comparisons.ConfoundingRelated: Confounding can produce the aggregate-versus-stratified reversal associated with this paradox.Conditional probabilityRelated: Different conditioning choices can reveal or conceal associations in the same data.Ecological fallacyRelated: It demonstrates how an aggregate pattern can differ sharply from patterns inside groups.CorrelationRelated: It shows how an overall correlation can differ sharply from within-group patterns.Independence (probability theory)Related: It highlights that dependence patterns can change when a third variable is introduced.Regression analysisRelated: Unmodeled group structure can make an overall regression relationship misleading.A/B testingRelated: Uneven traffic composition can make aggregate A/B results conflict with subgroup patterns.Descriptive statisticsRelated: Aggregated descriptions can suggest a pattern opposite to the one within subgroups.Mortality rateRelated: Aggregated mortality rates can reverse comparisons made within age or other strata.Pearson correlation coefficientRelated: Aggregated correlations can conceal or reverse patterns present within subgroups.Gini coefficientRelated: Aggregate Gini comparisons can conceal subgroup patterns when population composition changes.Scatter plotRelated: A pooled scatter plot can conceal relationships that differ across subgroups.Line chartRelated: A visible aggregate trend may differ from the trajectories within the chart’s subgroups.Coefficient of determinationRelated: Aggregation and omitted group structure can make an overall fit statistic obscure subgroup patterns.Statistics (numerical data)Related: Aggregation can make a valid numerical comparison misleading.
KnowraSimpson's paradoxLinked fromLinked fromThe 22 pages that link to Simpson's paradox, each with the reason it gives.All 22Broader topic 3Related 16Compared with 3Causal inferenceRelated: The reversal illustrates how group composition can distort apparent causal comparisons.ConfoundingRelated: Confounding can produce the aggregate-versus-stratified reversal associated with this paradox.Conditional probabilityRelated: Different conditioning choices can reveal or conceal associations in the same data.Ecological fallacyRelated: It demonstrates how an aggregate pattern can differ sharply from patterns inside groups.CorrelationRelated: It shows how an overall correlation can differ sharply from within-group patterns.Independence (probability theory)Related: It highlights that dependence patterns can change when a third variable is introduced.Regression analysisRelated: Unmodeled group structure can make an overall regression relationship misleading.A/B testingRelated: Uneven traffic composition can make aggregate A/B results conflict with subgroup patterns.Descriptive statisticsRelated: Aggregated descriptions can suggest a pattern opposite to the one within subgroups.Mortality rateRelated: Aggregated mortality rates can reverse comparisons made within age or other strata.Pearson correlation coefficientRelated: Aggregated correlations can conceal or reverse patterns present within subgroups.Gini coefficientRelated: Aggregate Gini comparisons can conceal subgroup patterns when population composition changes.Scatter plotRelated: A pooled scatter plot can conceal relationships that differ across subgroups.Line chartRelated: A visible aggregate trend may differ from the trajectories within the chart’s subgroups.Coefficient of determinationRelated: Aggregation and omitted group structure can make an overall fit statistic obscure subgroup patterns.Statistics (numerical data)Related: Aggregation can make a valid numerical comparison misleading.