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Solomon W. Harrar

Research Interests:
High-Dimensional Inference
Matrix-Variate (tensor) Data
Multivariate Finite Mixture & Contaminated Trials
Rank Methods for Clustered Data
Graduate Training
Teaching

Current Course

Spring 2023

    STA 606: Theory of Statistical Inference I

    STA 648: Regression Methods

Previous Courses

 

Spring 2021: 

    STA 661: Multivariate Analysis

    STA 606: Theory of Inference I

Fall 2020:  

    STA 701: Advanced Theory of Inference

 

Research

The methodological researches I conduct focus on three distinct but interrelated topics: High-dimensional data, clustered data analysis and inference under misclassification errors.  The underlying common theme of these topics is the development of robust and nonparametric inferential procedures  for multivariate data.   I am also interested in collaborative research in public health, including but not limited to smoking cessation, childhood asthma, Multi-omics risk score and SARS-COV2 genome sequence data.

 

Google Scholar:  citations=1172, h-index=19, i10-index=29

(accessed on 02/04/2022)

 

Associate Editor

Biometrical Journal 

Selected Publications:

Harrar, S. W. and Cui, Y (2023), Nonparametric Methods for Clustered Data in Pre-Post Intervention Design. Journal of Statistical Planning and Inference 222, 1--21.  

Kong, X., Villasante-Tezanos, A. and Harrar, S. W. (2022), Generalized Nonparametric Composite Tests for High-Dimensional Data. Symmetry 14(6), Article 1153. 

Harrar, S. W. and Xu, Y. (2022), Nonparametric Tests for Multivariate Association. Symmetry 14(6), Article 1112. 4.

Ye, Z. and Harrar, S. W. (2022), Estimation of Multivariate Treatment Effects in Contaminated Randomized Trials, Pharmaceutical Statistics 21(3), 535--565.

Harrar, S. W. and Kong, X. (2022), Recent Developments in High-dimensional Inference for Multivariate Data: Parametric, Semiparametric and Nonparametric Approaches, Journal of Multivariate Analysis 188, Article 104855.

Ronchi, F., Harrar, S.W. and Salmaso, L. (2022), Multivariate Nonparametric Methods in Two-Way Designs: Performances and Limitations in Small Samples. Journal of Applied Statistics 49(7),1714--1741.

For a nearly-complete  publications list:  Google ScholarPubMed and PMC