Faculty

Institution

Unit

Venue

S Liang

George Washington University

Affiliations

Columbian College of Arts & Sciences

Department of Statistics

NoneS Liang is currently serving as a Columbian College Of Arts & Sciences faculty at George Washington University.

Honors

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Experiences

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Education

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S Liang

George Washington University

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statistics applied statistics biostatistics statistical methodology data science statistical inference estimation theory econometrics immunology hiv virology statistical analysis survival analysis oncology bibliometrics multivariate analysis medicinal research sampling cellular therapy cancer treatment psychometrics clinical immunology clinical transplantation parameter estimation cell therapy variable selection cancer care measurement theory virus-host interactions estimation statistic computational statistics cell transplantation semi-nonparametric estimation transplantation medicine statistical science linear mixed-effects models high-dimensional covariates sickle cell disease bayesian analysis pediatric transplantation experimental medicine pharmacotherapy t-regulatory cell gene regulation hla typing medical statistics model comparison feature selection measurement error measurement errors antitumor activity additive models longitudinal data virus research antiviral research mathematical bioscience infection control leukemia adaptive immune system regression analysis gene regulatory networks stem cell transplantation antiviral therapy biomedical modeling viral genetics viral pathogenesis viral evolution mathematical economics mathematical statistics tuberculosis infection information criterion asymptotic normality cox models variance function additive nonparametric components transfusion support

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Comprehensive Comparison of Goodness-Of-Fit Tests for Logistic Regression Models. Statistics and Computing (2024)

Huiling LiuXinmin LiFeifei ChenWolfgang HärdleHua Liang

statistical analysisstatistical inferencestatisticsstatistical theorystatistical hypothesis teststatistical methodologygoodness-of-fit testslogistic regression modelslogistic regressionstatistical modelsmodel comparisonapplied statistics

Antiviral Cellular Therapy for Enhancing T-Cell Reconstitution Before or After Hematopoietic Stem Cell Transplantation (Aces): A Two-Arm, Open Label Phase II Interventional Trial of Pediatric Patients With Risk Factor Assessment. Nature Communications (2024)

Michael D. KellerPatrick J. HanleyYueh-Yun ChiPaibel Aguayo-HiraldoChristopher C. DvorakMichael R. VernerisDonald B. KohnSung-Yun PaiBlachy J. Dávila SaldañaBenjamin HanischTroy C. QuiggRoberta H. AdamsAnn DahlbergShanmuganathan ChandrakasanHasibul HasanJemily MalvarMariah A. Jensen-WachspressChristopher A. LazarskiGelina SaniJohn M. IdsoHaili LangPamela ChanskyChase D. McCannJay TannaAllistair A. AbrahamJennifer L. WebbAbeer ShibliAmy K. KeatingPrakash SatwaniPawel MuranskiErin HallMichael J. EckrichEvan ShereckHolly MillerEwelina MamcarzRajni AgarwalSatiro N. De OliveiraMark T. Vander LugtChristen L. EbensVictor M. AquinoJeffrey J. BednarskiJulia ChuSuhag ParikhJennifer WhangboMichail LionakisElias T. ZambidisElizabeth GourdineCatherine M. BollardMichael A. Pulsipher

outcomes researchmedicineclinical transplantationtransplantation medicineregenerative medicinepediatricsantiviral cellular therapyvirologystem cell transplantationt-cell reconstitutionviral oncologycellular therapypediatric patientscell therapypediatric transplantationhivepidemiologytranslational medicinemedicinal researchexperimental medicinerisk factor assessment

CORRECTION: Model Checking for Logistic Models With Study of Telehealth During the Covid-19 Pandemic Among Pwh in DC. Statistics in Biosciences (2024)

Zeyu YangHua LiangHuiling LiuShannon BarthMorgan ByrneElisabeth AndersenVinay BhandaruAmanda Castel

statisticsstatistical methodologybiostatisticstelehealthpublic healthlogistic modelscovid-19 pandemic

Improving Tensor Regression by Optimal Model Averaging. Journal of the American Statistical Association (2024)

Qiushi BuHua LiangXinyu ZhangJiahui Zou

machine learningtensor regressioncomputer visionapplied mathematics

Linearized Maximum Rank Correlation Estimation When Covariates Are Functional. Journal of Multivariate Analysis (2024)

Wenchao XuXinyu ZhangHua Liang

statisticsfunctional analysisbiostatisticsmultivariate analysisdata science

Optimal Model Average Prediction in Orthogonal Kriging Models. Journal of Systems Science and Complexity (2024)

Jun WangJiabei HeHua LiangXinmin Li

systems modelingsystems engineeringsystems biologyorthogonal kriging modelsapplied mathematicssystem science

Secondary Bone Marrow Graft Loss After Third-Party Virus-Specific T Cell Infusion: Case Report of a Rare Complication. Nature Communications (2024)

Michael D. KellerStefan A. SchattgenShanmuganathan ChandrakasanE. Kaitlynn AllenMariah A. Jensen-WachspressChristopher A. LazarskiMuna QayedHaili LangPatrick J. HanleyJay TannaSung-Yun PaiSuhag ParikhSeth I. BergerStephen GottschalkMichael A. PulsipherPaul G. ThomasCatherine M. Bollard

virologyrare complicationtransplantation medicinevirus-host interactionscell transplantationimmunologydermatologybone marrow transplantationimmune responsesmedicinal researcht-regulatory cellregenerative medicineepidemiology

Unified Optimal Model Averaging With a General Loss Function Based on Cross-Validation. arXiv (Cornell University) (2024)

Yu, DaleiZhang, XinyuLiang, Hua

model optimizationenvironmental engineeringenvironmental sciencegeneral loss functionoptimal modelsocial science researchmathematical modelssocial sciencessocial network analysis

Assessment of Nonlinear Dose–Response Relationships via Nonparametric Regression. Journal of Biopharmaceutical Statistics (2023)

Shunyao WuQi ZhangYuanzhang LiHua Liang

pharmacologystatisticsstatistical methodologybiostatisticsnonparametric regressionnonlinear dose-response relationshipsapplied statistics

Corrigendum to “Maximum Likelihood Estimation in Logistic Regression Models With a Diverging Number of Covariates”. Electronic Journal of Statistics (2023)

Hua LiangPang Du

econometricsmaximum likelihood estimationstatisticslogistic regression models

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S Liang

George Washington University

Affiliations

Columbian College of Arts & Sciences

Department of Statistics

NoneS Liang is currently serving as a Columbian College Of Arts & Sciences faculty at George Washington University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

S Liang

George Washington University

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Comprehensive Comparison of Goodness-Of-Fit Tests for Logistic Regression Models. Statistics and Computing (2024)

Huiling LiuXinmin LiFeifei ChenWolfgang HärdleHua Liang

CORRECTION: Model Checking for Logistic Models With Study of Telehealth During the Covid-19 Pandemic Among Pwh in DC. Statistics in Biosciences (2024)

Zeyu YangHua LiangHuiling LiuShannon BarthMorgan ByrneElisabeth AndersenVinay BhandaruAmanda Castel

statisticsstatistical methodologybiostatisticstelehealthpublic healthlogistic modelscovid-19 pandemic

Improving Tensor Regression by Optimal Model Averaging. Journal of the American Statistical Association (2024)

Qiushi BuHua LiangXinyu ZhangJiahui Zou

machine learningtensor regressioncomputer visionapplied mathematics

Linearized Maximum Rank Correlation Estimation When Covariates Are Functional. Journal of Multivariate Analysis (2024)

Wenchao XuXinyu ZhangHua Liang

statisticsfunctional analysisbiostatisticsmultivariate analysisdata science

Optimal Model Average Prediction in Orthogonal Kriging Models. Journal of Systems Science and Complexity (2024)

Jun WangJiabei HeHua LiangXinmin Li

systems modelingsystems engineeringsystems biologyorthogonal kriging modelsapplied mathematicssystem science

Secondary Bone Marrow Graft Loss After Third-Party Virus-Specific T Cell Infusion: Case Report of a Rare Complication. Nature Communications (2024)

Unified Optimal Model Averaging With a General Loss Function Based on Cross-Validation. arXiv (Cornell University) (2024)

Yu, DaleiZhang, XinyuLiang, Hua

model optimizationenvironmental engineeringenvironmental sciencegeneral loss functionoptimal modelsocial science researchmathematical modelssocial sciencessocial network analysis

Assessment of Nonlinear Dose–Response Relationships via Nonparametric Regression. Journal of Biopharmaceutical Statistics (2023)

Shunyao WuQi ZhangYuanzhang LiHua Liang

pharmacologystatisticsstatistical methodologybiostatisticsnonparametric regressionnonlinear dose-response relationshipsapplied statistics

Corrigendum to “Maximum Likelihood Estimation in Logistic Regression Models With a Diverging Number of Covariates”. Electronic Journal of Statistics (2023)

Hua LiangPang Du

econometricsmaximum likelihood estimationstatisticslogistic regression models

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linear models

statistical modeling

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University of North Carolina at Chapel Hill

radiation oncology

clinical trial

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Pennsylvania State University

biomedical informatics

computational biology

Roy Sabo

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Virginia Commonwealth University

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treatment effect

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oncology

Louise M. Ryan

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Harvard University

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bayesian statistic

bayesian statistical methodology

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health informatics

systematic review