Fast and powerful conditional randomization testing via distillation
Biometrika. 2022 Jun;109(2):277-293. doi: 10.1093/biomet/asab039. Epub 2021 Jul 8.ABSTRACTWe consider the problem of conditional independence testing: given a response Y and covariates (X,Z), we test the null hypothesis that Y⫫X∣Z. The conditional randomization test was recently proposed as a way to use distributional information about X∣Z to exactly and nonasymptotically control Type-I error using any test statistic in any dimensionality without assuming anything about Y∣(X,Z). This flexibility, in principle, allows one to derive powerful test statistics from complex prediction algorithms while maintaining statist...
Source: Biometrika - July 7, 2023 Category: Biotechnology Authors: Molei Liu Eugene Katsevich Lucas Janson Aaditya Ramdas Source Type: research
Fast and powerful conditional randomization testing via distillation
Biometrika. 2022 Jun;109(2):277-293. doi: 10.1093/biomet/asab039. Epub 2021 Jul 8.ABSTRACTWe consider the problem of conditional independence testing: given a response Y and covariates (X,Z), we test the null hypothesis that Y⫫X∣Z. The conditional randomization test was recently proposed as a way to use distributional information about X∣Z to exactly and nonasymptotically control Type-I error using any test statistic in any dimensionality without assuming anything about Y∣(X,Z). This flexibility, in principle, allows one to derive powerful test statistics from complex prediction algorithms while maintaining statist...
Source: Biometrika - July 7, 2023 Category: Biotechnology Authors: Molei Liu Eugene Katsevich Lucas Janson Aaditya Ramdas Source Type: research
Fast and powerful conditional randomization testing via distillation
Biometrika. 2022 Jun;109(2):277-293. doi: 10.1093/biomet/asab039. Epub 2021 Jul 8.ABSTRACTWe consider the problem of conditional independence testing: given a response Y and covariates (X,Z), we test the null hypothesis that Y⫫X∣Z. The conditional randomization test was recently proposed as a way to use distributional information about X∣Z to exactly and nonasymptotically control Type-I error using any test statistic in any dimensionality without assuming anything about Y∣(X,Z). This flexibility, in principle, allows one to derive powerful test statistics from complex prediction algorithms while maintaining statist...
Source: Biometrika - July 7, 2023 Category: Biotechnology Authors: Molei Liu Eugene Katsevich Lucas Janson Aaditya Ramdas Source Type: research
Fast and powerful conditional randomization testing via distillation
Biometrika. 2022 Jun;109(2):277-293. doi: 10.1093/biomet/asab039. Epub 2021 Jul 8.ABSTRACTWe consider the problem of conditional independence testing: given a response Y and covariates (X,Z), we test the null hypothesis that Y⫫X∣Z. The conditional randomization test was recently proposed as a way to use distributional information about X∣Z to exactly and nonasymptotically control Type-I error using any test statistic in any dimensionality without assuming anything about Y∣(X,Z). This flexibility, in principle, allows one to derive powerful test statistics from complex prediction algorithms while maintaining statist...
Source: Biometrika - July 7, 2023 Category: Biotechnology Authors: Molei Liu Eugene Katsevich Lucas Janson Aaditya Ramdas Source Type: research
Fast and powerful conditional randomization testing via distillation
Biometrika. 2022 Jun;109(2):277-293. doi: 10.1093/biomet/asab039. Epub 2021 Jul 8.ABSTRACTWe consider the problem of conditional independence testing: given a response Y and covariates (X,Z), we test the null hypothesis that Y⫫X∣Z. The conditional randomization test was recently proposed as a way to use distributional information about X∣Z to exactly and nonasymptotically control Type-I error using any test statistic in any dimensionality without assuming anything about Y∣(X,Z). This flexibility, in principle, allows one to derive powerful test statistics from complex prediction algorithms while maintaining statist...
Source: Biometrika - July 7, 2023 Category: Biotechnology Authors: Molei Liu Eugene Katsevich Lucas Janson Aaditya Ramdas Source Type: research
Fast and powerful conditional randomization testing via distillation
Biometrika. 2022 Jun;109(2):277-293. doi: 10.1093/biomet/asab039. Epub 2021 Jul 8.ABSTRACTWe consider the problem of conditional independence testing: given a response Y and covariates (X,Z), we test the null hypothesis that Y⫫X∣Z. The conditional randomization test was recently proposed as a way to use distributional information about X∣Z to exactly and nonasymptotically control Type-I error using any test statistic in any dimensionality without assuming anything about Y∣(X,Z). This flexibility, in principle, allows one to derive powerful test statistics from complex prediction algorithms while maintaining statist...
Source: Biometrika - July 7, 2023 Category: Biotechnology Authors: Molei Liu Eugene Katsevich Lucas Janson Aaditya Ramdas Source Type: research
Fast and powerful conditional randomization testing via distillation
Biometrika. 2022 Jun;109(2):277-293. doi: 10.1093/biomet/asab039. Epub 2021 Jul 8.ABSTRACTWe consider the problem of conditional independence testing: given a response Y and covariates (X,Z), we test the null hypothesis that Y⫫X∣Z. The conditional randomization test was recently proposed as a way to use distributional information about X∣Z to exactly and nonasymptotically control Type-I error using any test statistic in any dimensionality without assuming anything about Y∣(X,Z). This flexibility, in principle, allows one to derive powerful test statistics from complex prediction algorithms while maintaining statist...
Source: Biometrika - July 7, 2023 Category: Biotechnology Authors: Molei Liu Eugene Katsevich Lucas Janson Aaditya Ramdas Source Type: research
Fast and powerful conditional randomization testing via distillation
Biometrika. 2022 Jun;109(2):277-293. doi: 10.1093/biomet/asab039. Epub 2021 Jul 8.ABSTRACTWe consider the problem of conditional independence testing: given a response Y and covariates (X,Z), we test the null hypothesis that Y⫫X∣Z. The conditional randomization test was recently proposed as a way to use distributional information about X∣Z to exactly and nonasymptotically control Type-I error using any test statistic in any dimensionality without assuming anything about Y∣(X,Z). This flexibility, in principle, allows one to derive powerful test statistics from complex prediction algorithms while maintaining statist...
Source: Biometrika - July 7, 2023 Category: Biotechnology Authors: Molei Liu Eugene Katsevich Lucas Janson Aaditya Ramdas Source Type: research
Fast and powerful conditional randomization testing via distillation
Biometrika. 2022 Jun;109(2):277-293. doi: 10.1093/biomet/asab039. Epub 2021 Jul 8.ABSTRACTWe consider the problem of conditional independence testing: given a response Y and covariates (X,Z), we test the null hypothesis that Y⫫X∣Z. The conditional randomization test was recently proposed as a way to use distributional information about X∣Z to exactly and nonasymptotically control Type-I error using any test statistic in any dimensionality without assuming anything about Y∣(X,Z). This flexibility, in principle, allows one to derive powerful test statistics from complex prediction algorithms while maintaining statist...
Source: Biometrika - July 7, 2023 Category: Biotechnology Authors: Molei Liu Eugene Katsevich Lucas Janson Aaditya Ramdas Source Type: research
Fast and powerful conditional randomization testing via distillation
Biometrika. 2022 Jun;109(2):277-293. doi: 10.1093/biomet/asab039. Epub 2021 Jul 8.ABSTRACTWe consider the problem of conditional independence testing: given a response Y and covariates (X,Z), we test the null hypothesis that Y⫫X∣Z. The conditional randomization test was recently proposed as a way to use distributional information about X∣Z to exactly and nonasymptotically control Type-I error using any test statistic in any dimensionality without assuming anything about Y∣(X,Z). This flexibility, in principle, allows one to derive powerful test statistics from complex prediction algorithms while maintaining statist...
Source: Biometrika - July 7, 2023 Category: Biotechnology Authors: Molei Liu Eugene Katsevich Lucas Janson Aaditya Ramdas Source Type: research
Fast and powerful conditional randomization testing via distillation
Biometrika. 2022 Jun;109(2):277-293. doi: 10.1093/biomet/asab039. Epub 2021 Jul 8.ABSTRACTWe consider the problem of conditional independence testing: given a response Y and covariates (X,Z), we test the null hypothesis that Y⫫X∣Z. The conditional randomization test was recently proposed as a way to use distributional information about X∣Z to exactly and nonasymptotically control Type-I error using any test statistic in any dimensionality without assuming anything about Y∣(X,Z). This flexibility, in principle, allows one to derive powerful test statistics from complex prediction algorithms while maintaining statist...
Source: Biometrika - July 7, 2023 Category: Biotechnology Authors: Molei Liu Eugene Katsevich Lucas Janson Aaditya Ramdas Source Type: research
Fast and powerful conditional randomization testing via distillation
Biometrika. 2022 Jun;109(2):277-293. doi: 10.1093/biomet/asab039. Epub 2021 Jul 8.ABSTRACTWe consider the problem of conditional independence testing: given a response Y and covariates (X,Z), we test the null hypothesis that Y⫫X∣Z. The conditional randomization test was recently proposed as a way to use distributional information about X∣Z to exactly and nonasymptotically control Type-I error using any test statistic in any dimensionality without assuming anything about Y∣(X,Z). This flexibility, in principle, allows one to derive powerful test statistics from complex prediction algorithms while maintaining statist...
Source: Biometrika - July 7, 2023 Category: Biotechnology Authors: Molei Liu Eugene Katsevich Lucas Janson Aaditya Ramdas Source Type: research
Fast and powerful conditional randomization testing via distillation
Biometrika. 2022 Jun;109(2):277-293. doi: 10.1093/biomet/asab039. Epub 2021 Jul 8.ABSTRACTWe consider the problem of conditional independence testing: given a response Y and covariates (X,Z), we test the null hypothesis that Y⫫X∣Z. The conditional randomization test was recently proposed as a way to use distributional information about X∣Z to exactly and nonasymptotically control Type-I error using any test statistic in any dimensionality without assuming anything about Y∣(X,Z). This flexibility, in principle, allows one to derive powerful test statistics from complex prediction algorithms while maintaining statist...
Source: Biometrika - July 7, 2023 Category: Biotechnology Authors: Molei Liu Eugene Katsevich Lucas Janson Aaditya Ramdas Source Type: research
Fast and powerful conditional randomization testing via distillation
Biometrika. 2022 Jun;109(2):277-293. doi: 10.1093/biomet/asab039. Epub 2021 Jul 8.ABSTRACTWe consider the problem of conditional independence testing: given a response Y and covariates (X,Z), we test the null hypothesis that Y⫫X∣Z. The conditional randomization test was recently proposed as a way to use distributional information about X∣Z to exactly and nonasymptotically control Type-I error using any test statistic in any dimensionality without assuming anything about Y∣(X,Z). This flexibility, in principle, allows one to derive powerful test statistics from complex prediction algorithms while maintaining statist...
Source: Biometrika - July 7, 2023 Category: Biotechnology Authors: Molei Liu Eugene Katsevich Lucas Janson Aaditya Ramdas Source Type: research
Fast and powerful conditional randomization testing via distillation
Biometrika. 2022 Jun;109(2):277-293. doi: 10.1093/biomet/asab039. Epub 2021 Jul 8.ABSTRACTWe consider the problem of conditional independence testing: given a response Y and covariates (X,Z), we test the null hypothesis that Y⫫X∣Z. The conditional randomization test was recently proposed as a way to use distributional information about X∣Z to exactly and nonasymptotically control Type-I error using any test statistic in any dimensionality without assuming anything about Y∣(X,Z). This flexibility, in principle, allows one to derive powerful test statistics from complex prediction algorithms while maintaining statist...
Source: Biometrika - July 7, 2023 Category: Biotechnology Authors: Molei Liu Eugene Katsevich Lucas Janson Aaditya Ramdas Source Type: research
