JASA Reproducibility Initiative

Toward-Optimal-Fingerprinting-in-Detection-and-Attribution-of-Changes-in-Climate-Extremes. Toward Optimal Fingerprinting in Detection and Attribution of Changes in Climate Extremes, by Zhuo Wang, Yujing Jiang, Hui Wan, Jun Yan, Xuebin Zhang

Multivariate-Bayesian-Predictive-Synthesis-in-Macroeconomic-Forecasting. Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting, by Kenichiro McAlinn, Knut Are Aastveit, Jouchi Nakajima, Mike West

repro-template. JASA reproducibility materials template

Modeling-Random-Effects-Using-Global-Local-Shrinkage-Priors-in-Small-Area-Estimation. Reproducibility materials for "Modeling Random Effects Using Global-Local Shrinkage Priors in Small Area Estimation" by Xueying Tang, Malay Ghosh, Neung Soo Ha & Joseph Sedransk

Priors-for-the-Long-Run. Priors for the Long Run, by Domenico Giannone, Michele Lenza & Giorgio E. Primiceri

repro-guide. Reproducibility guidance for authors and reviewers of JASA A&CS. Includes the reproducibility guide webpage.

Bayesian-Semiparametric-Mixed-Effects-Markov-Models-with-Application-to-Vocalization-Syntax. Reproducibility materials for "Bayesian Semiparametric Mixed Effects Markov Models with Application to Vocalization Syntax" by Abhra Sarkar, Jonathan Chabout, Joshua Jones Macopson, Erich D. Jarvis & David B. Dunson

Value-of-Information-Sensitivity-Analysis-and-Research-Design-in-Bayesian-Evidence-Synthesis. Value of Information: Sensitivity Analysis and Research Design in Bayesian Evidence Synthesis, by Christopher Jackson, Anne Presanis, Stefano Conti, Daniela De Angelis

Bayesian-Hierarchical-Varying-sparsity-Regression-Models-with-Application-to-Cancer-Proteogenomics. Reproducibility materials for "Bayesian Hierarchical Varying-sparsity Regression Models with Application to Cancer Proteogenomics" by Yang Ni, Francesco C. Stingo, Min Jin Ha, Rehan Akbani & Veerabhadran Baladandayuthapani

Predicting-Clinical-Outcomes-in-Glioblastoma-An-Application-of-Topological-and-Functional-Data-An.... Predicting Clinical Outcomes in Glioblastoma: An Application of Topological and Functional Data Analysis, by Lorin Crawford, Anthea Monod, Andrew X. Chen, Sayan Mukherjee, Raúl Rabadán

Large-Scale-Hypothesis-Testing-for-Causal-Mediation-Effects-with-Applications-in-Genome-wide-Epig.... R

A-Geometric-Perspective-on-the-Power-of-Principal-Component-Association-Tests-in-Multiple-Phenotype-. A Geometric Perspective on the Power of Principal Component Association Tests in Multiple Phenotype Studies, by Zhonghua Liu & Xihong Lin

Do-School-Districts-Affect-NYC-House-Prices-Identifying-Border-Differences-Using-a-Bayesian-Nonp.... Do School Districts Affect NYC House Prices? Identifying Border Differences Using a Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs, by Maxime Rischard , Zach Branson , Luke Miratrix , Luke Bornn

Bayesian-Joint-Modeling-of-Multiple-Brain-Functional-Networks. Bayesian Joint Modeling of Multiple Brain Functional Networks, by Joshua Lukemire, Suprateek Kundu, Giuseppe Pagnoni, Ying Guo

Brain-Regions-Identified-as-Being-Associated-With-Verbal-Reasoning-Through-the-Use-of-Imaging-Reg.... Brain Regions Identified as Being Associated With Verbal Reasoning Through the Use of Imaging Regression via Internal Variation, by Long Feng, Xuan Bi, Heping Zhang

Causal-Inference-With-Interference-and-Noncompliance-in-Two-Stage-Randomized-Experiments. Causal Inference With Interference and Noncompliance in Two-Stage Randomized Experiments, by Kosuke Imai, Zhichao Jiang, Anup Malani

Automatic-Detection-and-Uncertainty-Quantification-of-Landmarks-on-Elastic-Curves. Automatic Detection and Uncertainty Quantification of Landmarks on Elastic Curves, by Justin Strait, Oksana Chkrebtii, Sebastian Kurtek

Gene-Based-Association-Testing-of-Dichotomous-Traits-With-Generalized-Functional-Linear-Mixed-Mod.... Gene-Based Association Testing of Dichotomous Traits With Generalized Functional Linear Mixed Models Using Extended Pedigrees: Applications to Age-Related Macular Degeneration, by Yingda Jiang , Chi-Yang Chiu , Qi Yan , Wei Chen , Michael B. Gorin , Yvette P. Conley , M’Hamed Lajmi Lakhal-Chaieb , Richard J. Cook , Christopher I. Amos , Alexander F. Wilson , Joan E. Bailey-Wilson , Francis J. McMahon , Ana I. Vazquez , Ao Yuan , Xiaogang Zhong , Momiao Xiong , Daniel E. Weeks , Ruzong Fan

A-Hierarchical-Max-Infinitely-Divisible-Spatial-Model-for-Extreme-Precipitation. A Hierarchical Max-Infinitely Divisible Spatial Model for Extreme Precipitation, by Gregory P. Bopp, Benjamin A. Shaby, Raphaël Huser

repro-award. Website for the Editor-Selected JASA Reproducibility Award

A-Penalized-Regression-Framework-for-Building-Polygenic-Risk-Models-Based-on-Summary-Statistics-F.... A Penalized Regression Framework for Building Polygenic Risk Models Based on Summary Statistics From Genome-Wide Association Studies and Incorporating External Information, by Ting-Huei Chen , Nilanjan Chatterjee , Maria Teresa Landi , Jianxin Shi

Evaluation-of-the-Health-Impacts-of-the-1990-Clean-Air-Act-Amendments-Using-Causal-Inference-and-.... Evaluation of the Health Impacts of the 1990 Clean Air Act Amendments Using Causal Inference and Machine Learning, by Rachel C. Nethery, Fabrizia Mealli, Jason D. Sacks, Francesca Dominici

Triplet-Matching-for-Estimating-Causal-Effects-With-Three-Treatment-Arms-A-Comparative-Study-of-M.... Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level, by Giovanni Nattino, Bo Lu, Junxin Shi, Stanley Lemeshow, Henry Xiang

Bayesian-Optimal-Design-for-Ordinary-Differential-Equation-Models-With-Application-in-Biological-.... Bayesian Optimal Design for Ordinary Differential Equation Models With Application in Biological Science, by Antony M. Overstall, David C. Woods, Ben M. Parker

Spatial-Homogeneity-Pursuit-of-Regression-Coefficients-with-Large-Dataset. Spatial Homogeneity Pursuit of Regression Coefficients with Large Dataset, by Furong Li & Huiyan Sang

Prediction-and-Inference-With-Missing-Data-in-Patient-Alert-Systems. Prediction and Inference With Missing Data in Patient Alert Systems, by Curtis B. Storlie, Terry M. Therneau, Rickey E. Carter, Nicholas Chia, John R. Bergquist, Jeanne M. Huddleston, Santiago Romero-Brufau

Modeling-Between-Study-Heterogeneity-for-Improved-Replicability-in-Gene-Signature-Selection-and-C.... Modeling Between-Study Heterogeneity for Improved Replicability in Gene Signature Selection and Clinical Prediction, by Naim U. Rashid, Quefeng Li, Jen Jen Yeh, Joseph G. Ibrahim

Spatial-Variable-Selection-and-An-Application-to-Virginia-Lyme-Disease-Emergence. Spatial Variable Selection and An Application to Virginia Lyme Disease Emergence, by Yimeng Xie, Li Xu, Jie Li, Xinwei Deng, Yili Hong, Korine Kolivras & David N. Gaines

Modeling-Bronchiolitis-Incidence-Proportions-in-the-Presence-of-Spatio-Temporal-Uncertainty. Modeling Bronchiolitis Incidence Proportions in the Presence of Spatio-Temporal Uncertainty, by Matthew J. Heaton, Candace Berrett, Sierra Pugh, Amber Evans, Chantel Sloan

An-efficient-surrogate-model-for-emulation-and-physics-extraction-of-large-eddy-simulations. Reproducibility materials for "An efficient surrogate model for emulation and physics extraction of large eddy simulations" by Simon Mak, Chih-Li Sung, Xingjian Wang, Shiang-Ting Yeh, Yu-Hung Chang, V. Roshan Joseph, Vigor Yang & C. F. Jeff Wu

A-Bayesian-Approach-to-Multistate-Hidden-Markov-Models-Application-to-Dementia-Progression. A Bayesian Approach to Multistate Hidden Markov Models: Application to Dementia Progression, by Jonathan P. Williams, Curtis B. Storlie, Terry M. Therneau, Clifford R. Jack Jr, Jan Hannig

Hierarchical-Probabilistic-Forecasting-of-Electricity-Demand-With-Smart-Meter-Data. Hierarchical Probabilistic Forecasting of Electricity Demand With Smart Meter Data, by Souhaib Ben Taieb, James W. Taylor, Rob J. Hyndman

Spatially-dependent-multiple-testing-under-model-misspecification-with-application-to-detection-of-. Spatially Dependent Multiple Testing Under Model Misspecification, With Application to Detection of Anthropogenic Influence on Extreme Climate Events, by Mark D. Risser, Christopher J. Paciorek & Dáithí A. Stone

Capture-Recapture-Methods-for-Data-on-the-Activation-of-Applications-on-Mobile-Phones. Capture-Recapture Methods for Data on the Activation of Applications on Mobile Phones, by Mamadou Yauck, Louis-Paul Rivest & Greg Rothman

Genetic-Variant-Set-Based-Tests-Using-the-Generalized-Berk-Jones-Statistic-With-Application-to-a-.... Genetic Variant Set-Based Tests Using the Generalized Berk–Jones Statistic With Application to a Genome-Wide Association Study of Breast Cancer, by Ryan Sun, Xihong Lin

Template-Independent-Component-Analysis-Targeted-and-Reliable-Estimation-of-Subject-level-Brain-N.... Template Independent Component Analysis: Targeted and Reliable Estimation of Subject-level Brain Networks Using Big Data Population Priors, by Amanda F. Mejia, Mary Beth Nebel, Yikai Wang, Brian S. Caffo, Ying Guo

Nonparametric-Bayes-Models-of-Fiber-Curves-Connecting-Brain-Regions. Nonparametric Bayes Models of Fiber Curves Connecting Brain Regions, by Zhengwu Zhang, Maxime Descoteaux & David B. Dunson

Modeling-the-Marked-Presence-Only-Data-A-Case-Study-of-Estimating-the-Female-Sex-Worker-Size-in-M.... Modeling the Marked Presence-Only Data: A Case Study of Estimating the Female Sex Worker Size in Malawi, by Ian Laga, Xiaoyue Niu & Le Bao

Integrating-Multidimensional-Data-for-Clustering-Analysis-With-Applications-to-Cancer-Patient-Data. Integrating Multidimensional Data for Clustering Analysis With Applications to Cancer Patient Data, by Seyoung Park, Hao Xu, Hongyu Zhao

Testing-the-Predictability-of-U.S.-Housing-Price-Index-Returns-Based-on-an-IVX-AR-Model. Testing the Predictability of U.S. Housing Price Index Returns Based on an IVX-AR Model, by Bingduo Yang, Wei Long, Liang Peng, Zongwu Cai

Quantile-Function-on-Scalar-Regression-Analysis-for-Distributional-Data. Quantile Function on Scalar Regression Analysis for Distributional Data, by Hojin Yang, Veerabhadran Baladandayuthapani, Arvind U.K. Rao, Jeffrey S. Morris