# Publications Search Within Results Search Within Results search ## 69 results Show filters filter\_alt Sort by Year of PublicationAlphabetical A-Z sort ## 69 results Download 69 citations download- [BibTeX](/node/1873916/export?format=bibtex) - [EndNote X3 XML](/node/1873916/export?format=endnote8) - [EndNote 7 XML](/node/1873916/export?format=endnote7) - [Endnote tagged](/node/1873916/export?format=tagged) - [Marc](/node/1873916/export?format=marc) - [PubMedId](/node/1873916/export?format=pubmed_id) - [RIS](/node/1873916/export?format=ris) ### Working Paper Sophie Litschwartz and Luke Miratrix. “[Characterizing Cross-Site Variation in Local Average Treatment Effects in Multisite RDD Contexts With an Application to Massachusetts High School Exit Exam](/publications/characterizing-cross-site-variation-local-average-treatment-effects-multisite-rdd)” Sophie Litschwartz and Luke Miratrix. “[Characterizing Cross-Site Variation in Local Average Treatment Effects in Multisite RDD Contexts With an Application to Massachusetts High School Exit Exam](/publications/characterizing-cross-site-variation-local-average-treatment-effects-multisite-rdd)” - add\_circle do\_not\_disturb\_on Abstract - [ picture\_as\_pdfLitschwartz Miratrix Mult...](/sites/g/files/omnuum3956/files/cares/files/multi-site_rdd_3-17-2021.pdf) Multisite studies are a commonly used way to assess how a treatment works across contexts. In multisite random controlled trials (RCT), cross-site treatment effect variance is a way to quantify treatment effect variation. However, there are no... - [ picture\_as\_pdfLitschwartz Miratrix Mult...](/sites/g/files/omnuum3956/files/cares/files/multi-site_rdd_3-17-2021.pdf) ### 2024 Joshua Gilbert, Luke Miratrix, Mridul Joshi, and Benjamin Domingue. 2024. “[Disentangling Person-Dependent and Item-Dependent Causal Effects: Applications of Item Response Theory to the Estimation of Treatment Effect Heterogeneity](https://doi.org/10.3102/107699862412400)”. Journal of Educational and Behavioral Statistics Joshua Gilbert, Luke Miratrix, Mridul Joshi, and Benjamin Domingue. 2024. “[Disentangling Person-Dependent and Item-Dependent Causal Effects: Applications of Item Response Theory to the Estimation of Treatment Effect Heterogeneity](https://doi.org/10.3102/107699862412400)”. Journal of Educational and Behavioral Statistics - add\_circle do\_not\_disturb\_on Abstract Analyzing heterogeneous treatment effects (HTEs) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and preintervention participant... Christina Weiland, Rebecca Unterman, Susan Dynarski, Rachel Abenavoli, Howard Bloom, Breno Braga, Anne-Marie Faria, Erica Greenberg, Brian Jacob, Jane Arnold Lincove, and others. 2024. “[Lottery-Based Evaluations of Early Education Programs: Opportunities and Challenges for Building the Next Generation of Evidence](/publications/lottery-based-evaluations-early-education-programs-opportunities-and-challenges)”. AERA Open, 10 Christina Weiland, Rebecca Unterman, Susan Dynarski, Rachel Abenavoli, Howard Bloom, Breno Braga, Anne-Marie Faria, Erica Greenberg, Brian Jacob, Jane Arnold Lincove, and others. 2024. “[Lottery-Based Evaluations of Early Education Programs: Opportunities and Challenges for Building the Next Generation of Evidence](/publications/lottery-based-evaluations-early-education-programs-opportunities-and-challenges)”. AERA Open, 10 - add\_circle do\_not\_disturb\_on Abstract - [ descriptionPublisher's Version](https://doi.org/10.1177/23328584241231933) Lottery-based identification strategies offer potential for generating the next generation of evidence on U.S. early education programs. The authors’ collaborative network of five research teams applying this design in early education settings and... - [ descriptionPublisher's Version](https://doi.org/10.1177/23328584241231933) Kristen Hunter, Luke Miratrix, and Kristin Porter. 2024. “[PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments](https://doi.org/10.18637/jss.v108.i06)”. Journal of Statistical Software, 108, Pp. 1–43 Kristen Hunter, Luke Miratrix, and Kristin Porter. 2024. “[PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments](https://doi.org/10.18637/jss.v108.i06)”. Journal of Statistical Software, 108, Pp. 1–43 - add\_circle do\_not\_disturb\_on Abstract - [ descriptionPublisher's Version](https://doi.org/10.18637/jss.v108.i06) For randomized controlled trials (RCTs) with a single intervention's impact being measured on multiple outcomes, researchers often apply a multiple testing procedure (such as Bonferroni or Benjamini-Hochberg) to adjust p values. Such an adjustment... - [ descriptionPublisher's Version](https://doi.org/10.18637/jss.v108.i06) ### 2023 Johann Gagnon-Bartsch, Adam Sales, Edward Wu, Anthony Botelho, John Erickson, Luke Miratrix, and Neil Heffernan. 2023. “[Precise Unbiased Estimation in Randomized Experiments Using Auxiliary Observational Data](/publications/precise-unbiased-estimation-randomized-experiments-using-auxiliary-observational)”. Journal of Causal Inference, 11, 1, Pp. 20220011 Johann Gagnon-Bartsch, Adam Sales, Edward Wu, Anthony Botelho, John Erickson, Luke Miratrix, and Neil Heffernan. 2023. “[Precise Unbiased Estimation in Randomized Experiments Using Auxiliary Observational Data](/publications/precise-unbiased-estimation-randomized-experiments-using-auxiliary-observational)”. Journal of Causal Inference, 11, 1, Pp. 20220011 Luke Keele, Eli Ben-Michael, Avi Feller, Rachel Kelz, and Luke Miratrix. 2023. “[Hospital Quality Risk Standardization via Approximate Balancing Weights](/publications/hospital-quality-risk-standardization-approximate-balancing-weights)”. The Annals of Applied Statistics, 17, 2, Pp. 901–928 Luke Keele, Eli Ben-Michael, Avi Feller, Rachel Kelz, and Luke Miratrix. 2023. “[Hospital Quality Risk Standardization via Approximate Balancing Weights](/publications/hospital-quality-risk-standardization-approximate-balancing-weights)”. The Annals of Applied Statistics, 17, 2, Pp. 901–928 Devin Caughey, Allan Dafoe, Xinran Li, and Luke Miratrix. 2023. “[Randomisation Inference Beyond the Sharp Null: Bounded Null Hypotheses and Quantiles of Individual Treatment Effects](/publications/randomisation-inference-beyond-sharp-null-bounded-null-hypotheses-and-quantiles)”. Journal of the Royal Statistical Society Series B: Statistical Methodology, 85, 5, Pp. 1471–1491 Devin Caughey, Allan Dafoe, Xinran Li, and Luke Miratrix. 2023. “[Randomisation Inference Beyond the Sharp Null: Bounded Null Hypotheses and Quantiles of Individual Treatment Effects](/publications/randomisation-inference-beyond-sharp-null-bounded-null-hypotheses-and-quantiles)”. Journal of the Royal Statistical Society Series B: Statistical Methodology, 85, 5, Pp. 1471–1491 Evan TR Rosenman and Luke Miratrix. 2023. “[Designing Experiments Toward Shrinkage Estimation](/publications/designing-experiments-toward-shrinkage-estimation)”. Electronic Journal of Statistics, 17, 2, Pp. 3406–3442 Evan TR Rosenman and Luke Miratrix. 2023. “[Designing Experiments Toward Shrinkage Estimation](/publications/designing-experiments-toward-shrinkage-estimation)”. Electronic Journal of Statistics, 17, 2, Pp. 3406–3442 Benjamin Lu, Eli Ben-Michael, Avi Feller, and Luke Miratrix. 2023. “[Is It Who You Are or Where You Are? Accounting for Compositional Differences in Cross-Site Treatment Effect Variation](/publications/it-who-you-are-or-where-you-are-accounting-compositional-differences-cross-site)”. Journal of Educational and Behavioral Statistics, 48, 4, Pp. 420–453 Benjamin Lu, Eli Ben-Michael, Avi Feller, and Luke Miratrix. 2023. “[Is It Who You Are or Where You Are? Accounting for Compositional Differences in Cross-Site Treatment Effect Variation](/publications/it-who-you-are-or-where-you-are-accounting-compositional-differences-cross-site)”. Journal of Educational and Behavioral Statistics, 48, 4, Pp. 420–453 Joshua Gilbert, James Kim, and Luke Miratrix. 2023. “[Modeling Item-Level Heterogeneous Treatment Effects With the Explanatory Item Response Model: Leveraging Large-Scale Online Assessments to Pinpoint the Impact of Educational Interventions](/publications/modeling-item-level-heterogeneous-treatment-effects-explanatory-item-response)”. Journal of Educational and Behavioral Statistics, 48, 6, Pp. 889–913 Joshua Gilbert, James Kim, and Luke Miratrix. 2023. “[Modeling Item-Level Heterogeneous Treatment Effects With the Explanatory Item Response Model: Leveraging Large-Scale Online Assessments to Pinpoint the Impact of Educational Interventions](/publications/modeling-item-level-heterogeneous-treatment-effects-explanatory-item-response)”. Journal of Educational and Behavioral Statistics, 48, 6, Pp. 889–913 Lisa Hsin, Luke Miratrix, Ha Yeon Kim, Maria LaRusso, and Catherine Snow. 2023. “[Predictable Variation in the Implementation of a Curricular Intervention–-and Why It Matters](/publications/predictable-variation-implementation-curricular-intervention%E2%80%93-and-why-it-matters)”. The Elementary School Journal, 124, 1, Pp. 1–30 Lisa Hsin, Luke Miratrix, Ha Yeon Kim, Maria LaRusso, and Catherine Snow. 2023. “[Predictable Variation in the Implementation of a Curricular Intervention–-and Why It Matters](/publications/predictable-variation-implementation-curricular-intervention%E2%80%93-and-why-it-matters)”. The Elementary School Journal, 124, 1, Pp. 1–30 Melody Huang, Naoki Egami, Erin Hartman, and Luke Miratrix. 2023. “[Leveraging Population Outcomes to Improve the Generalization of Experimental Results: Application to the JTPA Study](/publications/leveraging-population-outcomes-improve-generalization-experimental-results)”. The Annals of Applied Statistics, 17, 3, Pp. 2139–2164 Melody Huang, Naoki Egami, Erin Hartman, and Luke Miratrix. 2023. “[Leveraging Population Outcomes to Improve the Generalization of Experimental Results: Application to the JTPA Study](/publications/leveraging-population-outcomes-improve-generalization-experimental-results)”. The Annals of Applied Statistics, 17, 3, Pp. 2139–2164 - Previous page chevron\_left - [1](?page=0 "Current page") - [2](?page=1 "Go to page 2") - [3](?page=2 "Go to page 3") - [ Last page 6 ](?page=5 "Go to last page") - [ Next page chevron\_right ](?page=1 "Go to next page")