Works (44)

2020 report

Double score matching estimators of average and quantile treatment effects

Retrieved from https://arxiv.org/abs/2001.06049

By: S. Yang & Y. Zhang

Source: NC State University Libraries
Added: September 27, 2020

2020 journal article

Doubly robust inference when combining probability and non-probability samples with high dimensional data

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 1.

By: S. Yang, J. Kim & R. Song

Sources: Crossref, ORCID
Added: January 13, 2020

2020 report

Estimating Average Treatment Effects Utilizing Fractional Imputation when Confounders are Subject to Missingness

Retrieved from https://arxiv.org/pdf/1905.11497

By: N. Corder & S. Yang

Source: NC State University Libraries
Added: September 27, 2020

2020 report

Integrative analysis of randomized clinicaltrials with real world evidence studies

Retrieved from https://arxiv.org/pdf/2003.01242

By: L. Dong, S. Yang, X. Wang, D. Zeng & J. Cai

Source: NC State University Libraries
Added: September 27, 2020

2020 journal article

Robust estimation for moment condition models with data missing not at random

Journal of Statistical Planning and Inference, 207, 246–254.

By: W. Li, S. Yang & P. Han

Sources: Web Of Science, ORCID, NC State University Libraries
Added: March 23, 2020

2020 report

Statistical data integration in survey sampling: a review

Retrieved from https://arxiv.org/abs/2001.03259

By: S. Yang & J. Kim

Source: NC State University Libraries
Added: September 27, 2020

2019 journal article

Asymptotic theory and inference of predictive mean matching imputation using a superpopulation model framework

Scandinavian Journal of Statistics.

By: S. Yang & J. Kim

Sources: Web Of Science, ORCID, Crossref
Added: January 6, 2020

2019 journal article

Causal inference with confounders missing not at random

Biometrika, 106(4), 875–888.

By: S. Yang, L. Wang & P. Ding

Sources: Crossref, ORCID
Added: January 14, 2020

2019 journal article

Combining Multiple Observational Data Sources to Estimate Causal Effects

Journal of the American Statistical Association, 6, 1–33.

By: S. Yang & P. Ding

Sources: Crossref, ORCID
Added: January 13, 2020

2019 article

Discussion of "Penalized Spline of Propensity Methods for Treatment Comparison" by Zhou, Elliott, and Little

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 114, pp. 31–32.

By: S. Yang & D. Zeng

Sources: Web Of Science, ORCID
Added: July 1, 2019

2019 journal article

Flexible Imputation of Missing Data, 2nd ed.

Journal of the American Statistical Association, 114(527), 1421–1421.

By: S. Yang

Sources: Crossref, ORCID
Added: January 14, 2020

2019 report

Matrix completion for survey data prediction with multivariate missingness

Retrieved from https://arxiv.org/pdf/1907.08360

By: X. Mao, Z. Wang & S. Yang

Source: NC State University Libraries
Added: September 27, 2020

2019 report

Muti-cause causal inference with unmeasured confounding and binary outcome

Retrieved from https://arxiv.org/pdf/1907.13323

By: D. Kong, S. Yang & L. Wang

Source: NC State University Libraries
Added: September 27, 2020

2019 chapter

Nearest Neighbor Imputation for General Parameter Estimation in Survey Sampling

In Advances in Econometrics (pp. 209–234).

By: S. Yang & J. Kim

Sources: Crossref, ORCID
Added: January 14, 2020

2019 report

Nonparametric mass imputation for data integration

(Joint Statistical Meetings Report No. #301796).

By: S. Chen, S. Yang & J. Kim

Source: NC State University Libraries
Added: September 27, 2020

2019 journal article

Semiparametric estimation of structural failure time models in continuous-time processes

Biometrika, 10.

By: S. Yang, K. Pieper & F. Cools

Sources: Crossref, ORCID
Added: January 14, 2020

2018 journal article

Approximate Bayesian inference under informative sampling

Biometrika, 105(1), 91–102.

By: Z. Wang, J. Kim & S. Yang

Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2018 journal article

Asymptotic inference of causal effects with observational studies trimmed by the estimated propensity scores

Biometrika, 105(2), 487–493.

By: S. Yang & P. Ding

Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2018 journal article

Discussion: Dissecting Multiple Imputation from a Multi-phase Inference Perspective: What Happens When God's, Imputer's and Analyst's Models are Uncongenial? by X. Xie and X. L. Meng

Statistica Sinica.

By: S. Yang & J. Kim

Sources: Crossref, ORCID
Added: January 14, 2020

2018 journal article

Estimation of the cumulative incidence function under multiple dependent and independent censoring mechanisms

Lifetime Data Analysis, 24(2), 201–223.

By: J. Lok, S. Yang, B. Sharkey & M. Hughes

Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2018 report

Integration of survey and big observational data for finite population inference using mass imputation

Retrieved from https://arxiv.org/abs/1807.02817

By: S. Yang, J. Kim & Y. Hwang

Source: NC State University Libraries
Added: September 27, 2020

2018 journal article

Modeling survival distribution as a function of time to treatment discontinuation: A dynamic treatment regime approach

BIOMETRICS, 74(3), 900–909.

By: S. Yang, A. Tsiatis & M. Blazing

Sources: NC State University Libraries, ORCID
Added: October 16, 2018

2018 journal article

Propensity Score Weighting for Causal Inference with Clustered Data

Journal of Causal Inference, 6(2).

By: S. Yang

Sources: NC State University Libraries, ORCID, Crossref
Added: October 16, 2018

2018 journal article

SENSITIVITY ANALYSIS FOR UNMEASURED CONFOUNDING IN COARSE STRUCTURAL NESTED MEAN MODELS

STATISTICA SINICA, 28(4), 1703–1723.

By: S. Yang & J. Lok

Sources: NC State University Libraries, ORCID
Added: December 3, 2018

2018 journal article

Semiparametric efficient estimation of structural nested mean models with irregularly spaced observations

Retrieved from https://arxiv.org/abs/1810.00042

By: S. Yang

Source: NC State University Libraries
Added: September 27, 2020

2017 journal article

A note on multiple imputation under complex sampling

Biometrika, 104(1), 221–228.

By: J. Kim & S. Yang

Source: NC State University Libraries
Added: August 6, 2018

2017 journal article

A semiparametric inference to regression analysis with missing covariates in survey data

Statistica Sinica.

By: S. Yang & J. Kim

Sources: Crossref, ORCID
Added: January 14, 2020

2017 journal article

God, devil and guru in the land of multiple imputation discussion

Statistica Sinica, 27(4), 1568–1573.

By: S. Yang & J. Kim

Source: NC State University Libraries
Added: August 6, 2018

2016 journal article

A goodness-of-fit test for structural nested mean models

Biometrika, 103(3), 734–741.

By: S. Yang & J. Lok

Sources: Crossref, ORCID
Added: January 14, 2020

2016 journal article

A note on multiple imputation for method of moments estimation

Biometrika, 103(1), 244–251.

By: S. Yang & J. Kim

Sources: Crossref, ORCID
Added: January 14, 2020

2016 journal article

Fractional Imputation in Survey Sampling: A Comparative Review

Statistical Science, 31(3), 415–432.

By: S. Yang & J. Kim

Sources: Crossref, ORCID
Added: January 14, 2020

2016 conference paper

Jamming and advanced modular-based blind rendezvous algorithms for cognitive radio networks

2016 IEEE 17th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WOWMOM).

By: Y. Oh & D. Thuente

Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2016 journal article

Propensity score matching and subclassification in observational studies with multi-level treatments

Biometrics, 72(4), 1055–1065.

By: S. Yang, G. Imbens, Z. Cui, D. Faries & Z. Kadziola

Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2015 journal article

Factors Associated with Parent Concern for Child Weight and Parenting Behaviors

Childhood Obesity, 11(3), 269–274.

By: K. Peyer, G. Welk, L. Bailey-Davis, S. Yang & J. Kim

Sources: Crossref, ORCID
Added: January 14, 2020

2015 journal article

Likelihood-based Inference with Missing Data Under Missing-at-Random

Scandinavian Journal of Statistics, 43(2), 436–454.

By: S. Yang & J. Kim

Sources: Crossref, ORCID
Added: January 14, 2020

2015 report

Semiparametric estimation of spectral density function for irregular spatial data

Retrieved from https://arxiv.org/abs/1508.06886

By: S. Yang & Z. Zhu

Source: NC State University Libraries
Added: September 27, 2020

2014 journal article

Fractional hot deck imputation for robust inference under item nonresponse in survey sampling

Survey Methodology, 40(2), 211–230. Retrieved from https://lib.dr.iastate.edu/stat_las_pubs/116/

By: J. Kim & S. Yang

Source: NC State University Libraries
Added: September 27, 2020

2014 journal article

Variance estimation and kriging prediction for a class of non-stationary spatial models

Statistica Sinica.

By: S. Yang & Z. Zhu

Sources: Crossref, ORCID
Added: January 14, 2020

2013 conference paper

Improved estimation for June Area Survey incorporating several information

Proceedings 59th ISI World Statistics Congress, 199–204.

By: J. Kim, Z. Zhu & S. Yang

Event: at Hong Kong, China

Source: NC State University Libraries
Added: September 24, 2020

2013 journal article

Imputation methods for quantile estimation under missing at random

Statistics and Its Interface, 6(3), 369–377.

By: S. Yang, J. Kim & D. Shin

Sources: Crossref, ORCID
Added: January 14, 2020

2013 journal article

Parametric fractional imputation for mixed models with nonignorable missing data

Statistics and Its Interface, 6(3), 339–347.

By: S. Yang, J. Kim & Z. Zhu

Sources: Crossref, ORCID
Added: January 14, 2020

report

A spatial causal analysis of wildland fire- contributed PM2.5 using numerical model output

Larsen, A., Yang, S., Rappold, A., & Reich, B. Retrieved from https://arxiv.org/pdf/2003.06037

By: A. Larsen, S. Yang, A. Rappold & B. Reich

Source: NC State University Libraries
Added: September 27, 2020

report

A unified framework for causal inference with multiple imputation using martingale

Guan, Q., & Yang, S. Retrieved from https://arxiv.org/pdf/1911.04663

By: Q. Guan & S. Yang

Source: NC State University Libraries
Added: September 27, 2020

report

Causal inference of hazard ratio based on propensity score matching

Tang, S., Yang, S., Wang, T., Cui, Z., Li, L., & Faries, D. Retrieved from https://arxiv.org/pdf/1911.12430

By: S. Tang, S. Yang, T. Wang, Z. Cui, L. Li & D. Faries

Source: NC State University Libraries
Added: September 27, 2020

Employment

2016 - present

North Carolina State University Raleigh, NC, US
Assistant Professor Statistics

2014 - 2016

Harvard T. Chan School of Public Health Boston, MA, US
Postdoctoral Fellow Biostatistics

2013 - 2014

Eli Lilly and Company Cambridge, MA, US
Intern

2009 - 2014

Iowa State University Ames, Iowa, US
Research Assistant Applied Mathematics and Statistics