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Yang Ning, Ph.D. - Publications

Affiliations: 
2012 Johns Hopkins University, Baltimore, MD 
Area:
Biostatistics Biology, Epidemiology, Public Health
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25 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Fang EX, Ning Y, Li R. TEST OF SIGNIFICANCE FOR HIGH-DIMENSIONAL LONGITUDINAL DATA. Annals of Statistics. 48: 2622-2645. PMID 34267407 DOI: 10.1214/19-aos1900  0.34
2020 Huang J, Ning Y, Reid N, Chen Y. On specification tests for composite likelihood inference. Biometrika. 107: 907-917. PMID 34176951 DOI: 10.1093/biomet/asaa039  0.318
2020 Fang EX, Ning Y, Li R. Test of significance for high-dimensional longitudinal data Annals of Statistics. 48: 2622-2645. DOI: 10.1214/19-Aos1900  0.319
2020 Huang J, Ning Y, Reid N, Chen Y. On specification tests for composite likelihood inference Biometrika. DOI: 10.1093/Biomet/Asaa039  0.338
2020 Ning Y, Sida P, Imai K. Robust estimation of causal effects via a high-dimensional covariate balancing propensity score Biometrika. 107: 533-554. DOI: 10.1093/Biomet/Asaa020  0.326
2019 Duan R, Ning Y, Wang S, Lindsay BG, Carroll RJ, Chen Y. A fast score test for generalized mixture models. Biometrics. PMID 31863595 DOI: 10.1111/Biom.13204  0.392
2019 Duan R, Cao M, Ning Y, Zhu M, Zhang B, McDermott A, Chu H, Zhou X, Moore JH, Ibrahim JG, Scharfstein DO, Chen Y. Global identifiability of latent class models with applications to diagnostic test accuracy studies: a Gröbner basis approach. Biometrics. PMID 31444807 DOI: 10.1111/Biom.13133  0.38
2018 Neykov M, Ning Y, Liu JS, Liu H. A Unified Theory of Confidence Regions and Testing for High-Dimensional Estimating Equations Statistical Science. 33: 427-443. DOI: 10.1214/18-Sts661  0.395
2018 Ning Y, Yi G, Reid N. A Class of Weighted Estimating Equations for Semiparametric Transformation Models with Missing Covariates Scandinavian Journal of Statistics. 45: 87-109. DOI: 10.1111/Sjos.12289  0.326
2017 Chen Y, Ning J, Ning Y, Liang KY, Bandeen-Roche K. On pseudolikelihood inference for semiparametric models with boundary problems. Biometrika. 104: 165-179. PMID 29430029 DOI: 10.1093/biomet/asw072  0.32
2017 Hong C, Chen Y, Ning Y, Wang S, Wu H, Carroll RJ. PLEMT: A NOVEL PSEUDOLIKELIHOOD BASED EM TEST FOR HOMOGENEITY IN GENERALIZED EXPONENTIAL TILT MIXTURE MODELS. Journal of the American Statistical Association. 112: 1393-1404. PMID 29416190 DOI: 10.1080/01621459.2017.1280405  0.404
2017 Ning Y, Zhao T, Liu H. A likelihood ratio framework for high-dimensional semiparametric regression The Annals of Statistics. 45: 2299-2327. DOI: 10.1214/16-Aos1483  0.334
2017 Ning Y, Liu H. A general theory of hypothesis tests and confidence regions for sparse high dimensional models Annals of Statistics. 45: 158-195. DOI: 10.1214/16-Aos1448  0.321
2017 Chen Y, Huang J, Ning Y, Liang K, Lindsay BG. A conditional composite likelihood ratio test with boundary constraints Biometrika. 105: 225-232. DOI: 10.1093/Biomet/Asx066  0.395
2016 Fang EX, Ning Y, Liu H. Testing and Confidence Intervals for High Dimensional Proportional Hazards Model. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 79: 1415-1437. PMID 37854943 DOI: 10.1111/rssb.12224  0.321
2016 Tan KM, Ning Y, Witten DM, Liu H. Replicates in high dimensions, with applications to latent variable graphical models. Biometrika. 103: 761-777. PMID 28736452 DOI: 10.1093/Biomet/Asw050  0.397
2016 Hong C, Ning Y, Wei P, Cao Y, Chen Y. A semiparametric model for vQTL mapping. Biometrics. PMID 27861717 DOI: 10.1111/Biom.12612  0.4
2016 Fang EX, Ning Y, Liu H. Testing and confidence intervals for high dimensional proportional hazards models Journal of the Royal Statistical Society: Series B (Statistical Methodology). 79: 1415-1437. DOI: 10.1111/Rssb.12224  0.43
2016 Fan J, Liu H, Ning Y, Zou H. High dimensional semiparametric latent graphical model for mixed data Journal of the Royal Statistical Society. Series B: Statistical Methodology. DOI: 10.1111/Rssb.12168  0.403
2015 Chen Y, Hong C, Ning Y, Su X. Meta-analysis of studies with bivariate binary outcomes: a marginal beta-binomial model approach. Statistics in Medicine. PMID 26303591 DOI: 10.1002/Sim.6620  0.313
2015 Li S, Ning Y. Estimation of covariate-specific time-dependent ROC curves in the presence of missing biomarkers. Biometrics. PMID 25891918 DOI: 10.1111/Biom.12312  0.367
2015 Ning Y, Chen Y. A Class of Pseudolikelihood Ratio Tests for Homogeneity in Exponential Tilt Mixture Models Scandinavian Journal of Statistics. 42: 504-517. DOI: 10.1111/Sjos.12119  0.411
2014 Ning Y, Liang K, Reid N. Reducing the sensitivity to nuisance parameters in pseudo-likelihood functions Canadian Journal of Statistics. 42: 544-562. DOI: 10.1002/Cjs.11232  0.506
2013 Chen Y, Ning Y, Hong C, Wang S. Semiparametric tests for identifying differentially methylated loci with case-control designs using Illumina arrays. Genetic Epidemiology. 38: 42-50. PMID 24301455 DOI: 10.1002/Gepi.21774  0.332
2013 Ning Y, Liu H. High-dimensional semiparametric bigraphical models Biometrika. 100: 655-670. DOI: 10.1093/Biomet/Ast009  0.385
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