Statistical inference on shape and size indexes for counting processes
Biometrika. 2022 Mar;109(1):195-208. doi: 10.1093/biomet/asab008. Epub 2021 Feb 12.ABSTRACTSingle-index models have gained increased popularity in time-to-event analysis owing to their model flexibility and advantage in dimension reduction. We propose a semiparametric framework for the rate function of a recurrent event counting process by modelling its size and shape components with single-index models. With additional monotone constraints on the two link functions for the size and shape components, the proposed model possesses the desired directional interpretability of covariate effects and encompasses many commonly use...
Source: Biometrika - October 4, 2023 Category: Biotechnology Authors: Yifei Sun Sy Han Chiou Kieren A Marr Chiung-Yu Huang Source Type: research
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference
Biometrika. 2023 Sep;110(3):645-662. doi: 10.1093/biomet/asac065. Epub 2022 Nov 24.ABSTRACTThe micro-randomized trial (MRT) is a sequential randomized experimental design to empirically evaluate the effectiveness of mobile health (mHealth) intervention components that may be delivered at hundreds or thousands of decision points. MRTs have motivated a new class of causal estimands, termed "causal excursion effects", for which semiparametric inference can be conducted via a weighted, centered least squares criterion (Boruvka et al., 2018). Existing methods assume between-subject independence and non-interference. Deviations ...
Source: Biometrika - September 15, 2023 Category: Biotechnology Authors: Jieru Shi Zhenke Wu Walter Dempsey Source Type: research
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference
Biometrika. 2023 Sep;110(3):645-662. doi: 10.1093/biomet/asac065. Epub 2022 Nov 24.ABSTRACTThe micro-randomized trial (MRT) is a sequential randomized experimental design to empirically evaluate the effectiveness of mobile health (mHealth) intervention components that may be delivered at hundreds or thousands of decision points. MRTs have motivated a new class of causal estimands, termed "causal excursion effects", for which semiparametric inference can be conducted via a weighted, centered least squares criterion (Boruvka et al., 2018). Existing methods assume between-subject independence and non-interference. Deviations ...
Source: Biometrika - September 15, 2023 Category: Biotechnology Authors: Jieru Shi Zhenke Wu Walter Dempsey Source Type: research
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference
Biometrika. 2023 Sep;110(3):645-662. doi: 10.1093/biomet/asac065. Epub 2022 Nov 24.ABSTRACTThe micro-randomized trial (MRT) is a sequential randomized experimental design to empirically evaluate the effectiveness of mobile health (mHealth) intervention components that may be delivered at hundreds or thousands of decision points. MRTs have motivated a new class of causal estimands, termed "causal excursion effects", for which semiparametric inference can be conducted via a weighted, centered least squares criterion (Boruvka et al., 2018). Existing methods assume between-subject independence and non-interference. Deviations ...
Source: Biometrika - September 15, 2023 Category: Biotechnology Authors: Jieru Shi Zhenke Wu Walter Dempsey Source Type: research
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference
Biometrika. 2023 Sep;110(3):645-662. doi: 10.1093/biomet/asac065. Epub 2022 Nov 24.ABSTRACTThe micro-randomized trial (MRT) is a sequential randomized experimental design to empirically evaluate the effectiveness of mobile health (mHealth) intervention components that may be delivered at hundreds or thousands of decision points. MRTs have motivated a new class of causal estimands, termed "causal excursion effects", for which semiparametric inference can be conducted via a weighted, centered least squares criterion (Boruvka et al., 2018). Existing methods assume between-subject independence and non-interference. Deviations ...
Source: Biometrika - September 15, 2023 Category: Biotechnology Authors: Jieru Shi Zhenke Wu Walter Dempsey Source Type: research
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference
Biometrika. 2023 Sep;110(3):645-662. doi: 10.1093/biomet/asac065. Epub 2022 Nov 24.ABSTRACTThe micro-randomized trial (MRT) is a sequential randomized experimental design to empirically evaluate the effectiveness of mobile health (mHealth) intervention components that may be delivered at hundreds or thousands of decision points. MRTs have motivated a new class of causal estimands, termed "causal excursion effects", for which semiparametric inference can be conducted via a weighted, centered least squares criterion (Boruvka et al., 2018). Existing methods assume between-subject independence and non-interference. Deviations ...
Source: Biometrika - September 15, 2023 Category: Biotechnology Authors: Jieru Shi Zhenke Wu Walter Dempsey Source Type: research
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference
Biometrika. 2023 Sep;110(3):645-662. doi: 10.1093/biomet/asac065. Epub 2022 Nov 24.ABSTRACTThe micro-randomized trial (MRT) is a sequential randomized experimental design to empirically evaluate the effectiveness of mobile health (mHealth) intervention components that may be delivered at hundreds or thousands of decision points. MRTs have motivated a new class of causal estimands, termed "causal excursion effects", for which semiparametric inference can be conducted via a weighted, centered least squares criterion (Boruvka et al., 2018). Existing methods assume between-subject independence and non-interference. Deviations ...
Source: Biometrika - September 15, 2023 Category: Biotechnology Authors: Jieru Shi Zhenke Wu Walter Dempsey Source Type: research
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference
Biometrika. 2023 Sep;110(3):645-662. doi: 10.1093/biomet/asac065. Epub 2022 Nov 24.ABSTRACTThe micro-randomized trial (MRT) is a sequential randomized experimental design to empirically evaluate the effectiveness of mobile health (mHealth) intervention components that may be delivered at hundreds or thousands of decision points. MRTs have motivated a new class of causal estimands, termed "causal excursion effects", for which semiparametric inference can be conducted via a weighted, centered least squares criterion (Boruvka et al., 2018). Existing methods assume between-subject independence and non-interference. Deviations ...
Source: Biometrika - September 15, 2023 Category: Biotechnology Authors: Jieru Shi Zhenke Wu Walter Dempsey Source Type: research
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference
Biometrika. 2023 Sep;110(3):645-662. doi: 10.1093/biomet/asac065. Epub 2022 Nov 24.ABSTRACTThe micro-randomized trial (MRT) is a sequential randomized experimental design to empirically evaluate the effectiveness of mobile health (mHealth) intervention components that may be delivered at hundreds or thousands of decision points. MRTs have motivated a new class of causal estimands, termed "causal excursion effects", for which semiparametric inference can be conducted via a weighted, centered least squares criterion (Boruvka et al., 2018). Existing methods assume between-subject independence and non-interference. Deviations ...
Source: Biometrika - September 15, 2023 Category: Biotechnology Authors: Jieru Shi Zhenke Wu Walter Dempsey Source Type: research
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference
Biometrika. 2023 Sep;110(3):645-662. doi: 10.1093/biomet/asac065. Epub 2022 Nov 24.ABSTRACTThe micro-randomized trial (MRT) is a sequential randomized experimental design to empirically evaluate the effectiveness of mobile health (mHealth) intervention components that may be delivered at hundreds or thousands of decision points. MRTs have motivated a new class of causal estimands, termed "causal excursion effects", for which semiparametric inference can be conducted via a weighted, centered least squares criterion (Boruvka et al., 2018). Existing methods assume between-subject independence and non-interference. Deviations ...
Source: Biometrika - September 15, 2023 Category: Biotechnology Authors: Jieru Shi Zhenke Wu Walter Dempsey Source Type: research
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference
Biometrika. 2023 Sep;110(3):645-662. doi: 10.1093/biomet/asac065. Epub 2022 Nov 24.ABSTRACTThe micro-randomized trial (MRT) is a sequential randomized experimental design to empirically evaluate the effectiveness of mobile health (mHealth) intervention components that may be delivered at hundreds or thousands of decision points. MRTs have motivated a new class of causal estimands, termed "causal excursion effects", for which semiparametric inference can be conducted via a weighted, centered least squares criterion (Boruvka et al., 2018). Existing methods assume between-subject independence and non-interference. Deviations ...
Source: Biometrika - September 15, 2023 Category: Biotechnology Authors: Jieru Shi Zhenke Wu Walter Dempsey Source Type: research
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference
Biometrika. 2023 Sep;110(3):645-662. doi: 10.1093/biomet/asac065. Epub 2022 Nov 24.ABSTRACTThe micro-randomized trial (MRT) is a sequential randomized experimental design to empirically evaluate the effectiveness of mobile health (mHealth) intervention components that may be delivered at hundreds or thousands of decision points. MRTs have motivated a new class of causal estimands, termed "causal excursion effects", for which semiparametric inference can be conducted via a weighted, centered least squares criterion (Boruvka et al., 2018). Existing methods assume between-subject independence and non-interference. Deviations ...
Source: Biometrika - September 15, 2023 Category: Biotechnology Authors: Jieru Shi Zhenke Wu Walter Dempsey Source Type: research
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference
Biometrika. 2023 Sep;110(3):645-662. doi: 10.1093/biomet/asac065. Epub 2022 Nov 24.ABSTRACTThe micro-randomized trial (MRT) is a sequential randomized experimental design to empirically evaluate the effectiveness of mobile health (mHealth) intervention components that may be delivered at hundreds or thousands of decision points. MRTs have motivated a new class of causal estimands, termed "causal excursion effects", for which semiparametric inference can be conducted via a weighted, centered least squares criterion (Boruvka et al., 2018). Existing methods assume between-subject independence and non-interference. Deviations ...
Source: Biometrika - September 15, 2023 Category: Biotechnology Authors: Jieru Shi Zhenke Wu Walter Dempsey Source Type: research
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference
Biometrika. 2023 Sep;110(3):645-662. doi: 10.1093/biomet/asac065. Epub 2022 Nov 24.ABSTRACTThe micro-randomized trial (MRT) is a sequential randomized experimental design to empirically evaluate the effectiveness of mobile health (mHealth) intervention components that may be delivered at hundreds or thousands of decision points. MRTs have motivated a new class of causal estimands, termed "causal excursion effects", for which semiparametric inference can be conducted via a weighted, centered least squares criterion (Boruvka et al., 2018). Existing methods assume between-subject independence and non-interference. Deviations ...
Source: Biometrika - September 15, 2023 Category: Biotechnology Authors: Jieru Shi Zhenke Wu Walter Dempsey Source Type: research
Marginal proportional hazards models for multivariate interval-censored data
Biometrika. 2023 Sep;110(3):815-830. doi: 10.1093/biomet/asac059. Epub 2022 Nov 2.ABSTRACTMultivariate interval-censored data arise when there are multiple types of events or clusters of study subjects, such that the event times are potentially correlated and when each event is only known to occur over a particular time interval. We formulate the effects of potentially time-varying covariates on the multivariate event times through marginal proportional hazards models while leaving the dependence structures of the related event times unspecified. We construct the nonparametric pseudolikelihood under the working assumption ...
Source: Biometrika - August 21, 2023 Category: Biotechnology Authors: Yangjianchen Xu Donglin Zeng D Y Lin Source Type: research
