Lauren J. Beesley

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Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassification

Bhramar Mukherjee, Lauren J. Beesley, B. Mukherjee, 2019, Biometrics.

Cancer PRSweb – an Online Repository with Polygenic Risk Scores (PRS) for Major Cancer Traits and Their Phenome-wide Exploration in Two Independent Biobanks

Bhramar Mukherjee, Daniel Taliun, Peter VandeHaar, 2020, bioRxiv.

A Modeling Framework for Exploring Sampling and Observation Process Biases in Genome and Phenome-wide Association Studies using Electronic Health Records

Lars G. Fritsche, Bhramar Mukherjee, Lauren J. Beesley, 2018 .

Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanks

Bhramar Mukherjee, Lars G. Fritsche, Maxwell Salvatore, 2020, J. Biomed. Informatics.

Exploring Various Polygenic Risk Scores for Basal Cell Carcinoma, Cutaneous Squamous Cell Carcinoma and Melanoma in the Phenomes of the Michigan Genomics Initiative and the UK Biobank

Bhramar Mukherjee, Gonçalo R. Abecasis, Stephanie E. Moser, 2018 .

The Emerging Landscape of Epidemiological Research Based on Biobanks Linked to Electronic Health Records: Existing Resources, Analytic Challenges and Potential Opportunities

Bhramar Mukherjee, Cristen J. Willer, Lars G. Fritsche, 2018 .

Exploring Various Polygenic Risk Scores for Skin Cancer in the Phenomes of the Michigan Genomics Initiative and the UK Biobank with a Visual Catalog: PRSWeb

Bhramar Mukherjee, Gonçalo R. Abecasis, Stephanie E. Moser, 2018, bioRxiv.

Case studies in bias reduction and inference for electronic health record data with selection bias and phenotype misclassification

Lauren J. Beesley, B. Mukherjee, L. Beesley, 2022, Statistics in medicine.

Bias reduction and inference for electronic health record data under selection and phenotype misclassification: three case studies

Lauren J. Beesley, B. Mukherjee, L. Beesley, 2020, medRxiv.

Exploring various polygenic risk scores for skin cancer in the phenomes of the Michigan genomics initiative and the UK Biobank with a visual catalog: PRSWeb

Stephanie E. Moser, Sarah A. Gagliano, Robert B Peng, 2018, bioRxiv.

Worry about recurrence in a multi-ethnic population of breast cancer survivors and their partners

Lauren J. Beesley, S. Hawley, N. Janz, 2016, Supportive Care in Cancer.

Addressing delayed case reporting in infectious disease forecast modeling

Lauren J. Beesley, D. Osthus, L. Beesley, 2021, PLoS Comput. Biol..

Prognostic Value of FDG-PET/CT Metabolic Parameters in Metastatic Radioiodine-Refractory Differentiated Thyroid Cancer

Lauren J. Beesley, F. Worden, L. Beesley, 2018, Clinical nuclear medicine.

The emerging landscape of health research based on biobanks linked to electronic health records: Existing resources, statistical challenges, and potential opportunities

Lars G Fritsche, Bhramar Mukherjee, Arvind Rao, 2019, Statistics in medicine.

An analytic framework for exploring sampling and observation process biases in genome and phenome‐wide association studies using electronic health records

Lars G Fritsche, Bhramar Mukherjee, Lauren J Beesley, 2020, Statistics in medicine.

Individualized outcome prognostication for patients with laryngeal cancer

Lauren J. Beesley, Yilun Sun, G. Wolf, 2018, Cancer.

Predictors of survival after total laryngectomy for recurrent/persistent laryngeal squamous cell carcinoma

Lauren J. Beesley, C. Bradford, G. Wolf, 2017, Head & neck.

Incorporating false negative tests in epidemiological models for SARS-CoV-2 transmission and reconciling with seroprevalence estimates

Lauren J. Beesley, B. Mukherjee, M. Salvatore, 2021, Scientific Reports.

Retrospective Study of Sirolimus and Cyclophosphamide in Patients with Advanced Differentiated Thyroid Cancers.

Lauren J. Beesley, D. Hanauer, M. Haymart, 2015, Journal of thyroid disorders & therapy.

Cancer PRSweb: An Online Repository with Polygenic Risk Scores for Major Cancer Traits and Their Evaluation in Two Independent Biobanks

Lars G Fritsche, Bhramar Mukherjee, Xiang Zhou, 2020, American journal of human genetics.

Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods

Lauren J. Beesley, Stephen A. Goutman, S. Batterman, 2020, J. Comput. Graph. Stat..

Towards Improved Heliosphere Sky Map Estimation with Theseus

Kelly R. Moran, Lauren J. Beesley, B. Weaver, 2022, Technometrics.

SARS-CoV-2 variant transition dynamics are associated with vaccination rates, number of co-circulating variants, and convalescent immunity

Kelly R. Moran, Lauren J. Beesley, W. Fischer, 2023, eBioMedicine.

Multiple imputation with missing data indicators

Lauren J Beesley, Lauren J. Beesley, Irina Bondarenko, 2021, Statistical methods in medical research.

Development and Assessment of a Model for Predicting Individualized Outcomes in Patients With Oropharyngeal Cancer

Lauren J. Beesley, G. Wolf, E. Dronkers, 2021, JAMA network open.

Accounting for not‐at‐random missingness through imputation stacking

Lauren J Beesley, Lauren J. Beesley, Jeremy M G Taylor, 2021, Statistics in medicine.

A stacked approach for chained equations multiple imputation incorporating the substantive model

Lauren J. Beesley, Lauren Beesley, Jeremy M G Taylor, 2019, Biometrics.

SARS-CoV-2 variant transition dynamics are associated with vaccination rates, number of co-circulating variants, and natural immunity

Kelly R. Moran, Lauren J. Beesley, W. Fischer, 2022, bioRxiv.

Extending the susceptible‐exposed‐infected‐removed (SEIR) model to handle the false negative rate and symptom‐based administration of COVID‐19 diagnostic tests: SEIR‐fansy

Lauren J. Beesley, J. Datta, L. Beesley, 2022, Statistics in medicine.

PATIENT RECRUITMENT USING ELECTRONIC HEALTH RECORDS UNDER SELECTION BIAS: A TWO-PHASE SAMPLING FRAMEWORK.

Guanghao Zhang, Xu Shi, Bhramar Mukherjee, 2020, The annals of applied statistics.

Individual and Population Comparisons of Surgery and Radiotherapy Outcomes in Prostate Cancer Using Bayesian Multistate Models

Lauren J. Beesley, W. Jackson, T. Morgan, 2019, JAMA network open.

Bayesian variable selection and shrinkage strategies in a complicated modelling setting with missing data: A case study using multistate models

Jeremy M. G. Taylor, Lauren J. Beesley, Lauren J. Beesley, 2020, Statistical Modelling.