Lauren J Beesley

ORCID

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 19

Top Venues

Statistics in medicine

PloS one

medRxiv : the preprint server for health sciences

Biometrics

University of Michigan

University of Michigan (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

University of Michigan

United States

Postdoctoral Research Fellow :: Biostatistics

University of Michigan

United States

Graduate Student Research Assistant :: Biostatistics

Education History

University of Michigan

United States

PHD :: Biostatistics

University of Michigan

United States

MSC :: Biostatistics

University of Kansas

United States

BSC :: Mathematics

Publications

Lauren J Beesley, Paolo Patelli, Kimberly Kaufeld, Jon Schwenk, Kaitlyn M Martinez, Travis Pitts, Martha Barnard, Ben McMahon, Sara Y Del Valle
Multi-dimensional resilience: A quantitative exploration of disease outcomes and economic, political, and social resilience to the COVID-19 pandemic in six countries. PloS one 18 (1) (2023)
Lauren J Beesley, Paolo Patelli, Kimberly Kaufeld, Jon Schwenk, Kaitlyn M Martinez, Travis Pitts, Martha Barnard, Ben McMahon, Sara Y Del Valle
Multi-dimensional resilience: A quantitative exploration of disease outcomes and economic, political, and social resilience to the COVID-19 pandemic in six countries. PloS one 18 (1) (2023)
Lauren J Beesley, Paolo Patelli, Kimberly Kaufeld, Jon Schwenk, Kaitlyn M Martinez, Travis Pitts, Martha Barnard, Ben McMahon, Sara Y Del Valle
Multi-dimensional resilience: A quantitative exploration of disease outcomes and economic, political, and social resilience to the COVID-19 pandemic in six countries. PloS one 18 (1) (2023)
Lauren J Beesley, Paolo Patelli, Kimberly Kaufeld, Jon Schwenk, Kaitlyn M Martinez, Travis Pitts, Martha Barnard, Ben McMahon, Sara Y Del Valle
Multi-dimensional resilience: A quantitative exploration of disease outcomes and economic, political, and social resilience to the COVID-19 pandemic in six countries. PloS one 18 (1) (2023)
Lauren J Beesley, Paolo Patelli, Kimberly Kaufeld, Jon Schwenk, Kaitlyn M Martinez, Travis Pitts, Martha Barnard, Ben McMahon, Sara Y Del Valle
Multi-dimensional resilience: A quantitative exploration of disease outcomes and economic, political, and social resilience to the COVID-19 pandemic in six countries. PloS one 18 (1) (2023)
Ritwik Bhaduri, Ritoban Kundu, Soumik Purkayastha, Michael Kleinsasser, Lauren J Beesley, Bhramar Mukherjee, Jyotishka Datta
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. Statistics in medicine 41 (13) (2022)
Lauren J Beesley, Bhramar Mukherjee
Case studies in bias reduction and inference for electronic health record data with selection bias and phenotype misclassification. Statistics in medicine 41 (28) (2022)
Maxwell Salvatore, Miriam M Hu, Lauren J Beesley, Alison M Mondul, Celeste Leigh Pearce, Christopher R Friese, Lars G Fritsche, Bhramar Mukherjee
COVID-19 outcomes by cancer status, site, treatment, and vaccination. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology (2022)
Lauren J Beesley, Dave Osthus, Sara Y Del Valle
Addressing delayed case reporting in infectious disease forecast modeling. PLoS computational biology 18 (6) (2022)
Lauren J Beesley, Jeremy M G Taylor
Accounting for not-at-random missingness through imputation stacking. Statistics in medicine 40 (27) (2021)
Lauren J Beesley, Irina Bondarenko, Michael R Elliot, Allison W Kurian, Steven J Katz, Jeremy Mg Taylor
Multiple imputation with missing data indicators. Statistical methods in medical research 30 (12) (2021)
Jiacong Du, Lauren J Beesley, Seunggeun Lee, Xiang Zhou, Walter H Dempsey, Bhramar Mukherjee
Optimal diagnostic test allocation strategy during the COVID-19 pandemic and beyond. Statistics in medicine (2021)
Lauren J Beesley, Bhramar Mukherjee
Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassification. Biometrics (2020)
Ritwik Bhaduri, Ritoban Kundu, Soumik Purkayastha, Mike Kleinsasser, Lauren J Beesley, Bhramar Mukherjee
EXTENDING THE SUSCEPTIBLE-EXPOSED-INFECTED-REMOVED(SEIR) MODEL TO HANDLE THE HIGH FALSE NEGATIVE RATE AND SYMPTOM-BASED ADMINISTRATION OF COVID-19 DIAGNOSTIC TESTS: SEIR-fansy. medRxiv : the preprint server for health sciences (2020)
Lauren J Beesley, Jeremy M G Taylor
A stacked approach for chained equations multiple imputation incorporating the substantive model. Biometrics (2020)
Lauren J Beesley, Bhramar Mukherjee
Bias reduction and inference for electronic health record data under selection and phenotype misclassification: three case studies. medRxiv : the preprint server for health sciences (2020)
Lauren J Beesley, Lars G Fritsche, Bhramar Mukherjee
An analytic framework for exploring sampling and observation process biases in genome and phenome-wide association studies using electronic health records. Statistics in medicine 39 (14) (2020)
Lars G Fritsche, Lauren J Beesley, Peter VandeHaar, Robert B Peng, Maxwell Salvatore, Matthew Zawistowski, Sarah A Gagliano Taliun, Sayantan Das, Jonathon LeFaive, Erin O Kaleba, Thomas T Klumpner, Stephanie E Moser, Victoria M Blanc, Chad M Brummett, Sachin Kheterpal, Gonçalo R Abecasis, Stephen B Gruber, Bhramar Mukherjee
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. PLoS genetics 15 (6) (2019)
Lauren J Beesley, Maxwell Salvatore, Lars G Fritsche, Anita Pandit, Arvind Rao, Chad Brummett, Cristen J Willer, Lynda D Lisabeth, Bhramar Mukherjee
The emerging landscape of health research based on biobanks linked to electronic health records: Existing resources, statistical challenges, and potential opportunities. Statistics in medicine 39 (6) (2019)

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Publication Activity (10 Years)

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Lauren J Beesley