| Cancer PRSweb: an online repository with polygenic risk scores for major cancer traits and their evaluation in two independent biobanks LG Fritsche, S Patil, LJ Beesley, P VandeHaar, M Salvatore, Y Ma, ... The American Journal of Human Genetics 107 (5), 815-836, 2020 | 74 | 2020 |
| The emerging landscape of health research based on biobanks linked to electronic health records: Existing resources, statistical challenges, and potential opportunities LJ Beesley, M Salvatore, LG Fritsche, A Pandit, A Rao, C Brummett, ... Statistics in medicine 39 (6), 773-800, 2020 | 65 | 2020 |
| Prognostic value of FDG-PET/CT metabolic parameters in metastatic radioiodine-refractory differentiated thyroid cancer PM Manohar, LJ Beesley, EL Bellile, FP Worden, AM Avram Clinical nuclear medicine 43 (9), 641-647, 2018 | 61 | 2018 |
| Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassification LJ Beesley, B Mukherjee Biometrics 78 (1), 214-226, 2022 | 49 | 2022 |
| Predictors of survival after total laryngectomy for recurrent/persistent laryngeal squamous cell carcinoma AC Birkeland, L Beesley, E Bellile, AJ Rosko, R Hoesli, SB Chinn, ... Head & neck 39 (12), 2512-2518, 2017 | 48 | 2017 |
| Redefining perineural invasion: integration of biology with clinical outcome LB Schmitd, LJ Beesley, N Russo, EL Bellile, RC Inglehart, M Liu, ... Neoplasia 20 (7), 657-667, 2018 | 46 | 2018 |
| Multiple imputation with missing data indicators LJ Beesley, I Bondarenko, MR Elliot, AW Kurian, SJ Katz, JMG Taylor Statistical methods in medical research 30 (12), 2685-2700, 2021 | 45 | 2021 |
| Worry about recurrence in a multi-ethnic population of breast cancer survivors and their partners NK Janz, Y Li, LJ Beesley, LP Wallner, AS Hamilton, RA Morrison, ... Supportive Care in Cancer 24 (11), 4669-4678, 2016 | 38 | 2016 |
| 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 LG Fritsche, LJ Beesley, P VandeHaar, RB Peng, M Salvatore, ... PLoS genetics 15 (6), e1008202, 2019 | 36 | 2019 |
| Variable selection with multiply-imputed datasets: choosing between stacked and grouped methods J Du, J Boss, P Han, LJ Beesley, M Kleinsasser, SA Goutman, ... Journal of Computational and Graphical Statistics 31 (4), 1063-1075, 2022 | 27 | 2022 |
| Individual and population comparisons of surgery and radiotherapy outcomes in prostate cancer using Bayesian multistate models LJ Beesley, TM Morgan, DE Spratt, U Singhal, FY Feng, AC Furgal, ... JAMA Network Open 2 (2), e187765-e187765, 2019 | 25 | 2019 |
| Incorporating false negative tests in epidemiological models for SARS-CoV-2 transmission and reconciling with seroprevalence estimates R Bhattacharyya, R Kundu, R Bhaduri, D Ray, LJ Beesley, M Salvatore, ... Scientific reports 11 (1), 9748, 2021 | 24 | 2021 |
| EM algorithms for fitting multistate cure models LJ Beesley, JMG Taylor Biostatistics 20 (3), 416-432, 2019 | 24 | 2019 |
| Multiple imputation of missing covariates for the Cox proportional hazards cure model LJ Beesley, JW Bartlett, GT Wolf, JMG Taylor Statistics in medicine 35 (26), 4701-4717, 2016 | 24 | 2016 |
| A stacked approach for chained equations multiple imputation incorporating the substantive model LJ Beesley, JMG Taylor Biometrics 77 (4), 1342-1354, 2021 | 20 | 2021 |
| Preoperative tracheostomy is associated with poor disease-free survival in recurrent laryngeal cancer AC Birkeland, AJ Rosko, L Beesley, E Bellile, SB Chinn, AG Shuman, ... Otolaryngology–Head and Neck Surgery 157 (3), 432-438, 2017 | 20 | 2017 |
| 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 R Bhaduri, R Kundu, S Purkayastha, M Kleinsasser, LJ Beesley, ... MedRxiv, 2020 | 19 | 2020 |
| SARS-CoV-2 variant transition dynamics are associated with vaccination rates, number of co-circulating variants, and convalescent immunity LJ Beesley, KR Moran, K Wagh, LA Castro, J Theiler, H Yoon, W Fischer, ... EBioMedicine 91, 2023 | 16 | 2023 |
| An analytic framework for exploring sampling and observation process biases in genome and phenome‐wide association studies using electronic health records LJ Beesley, LG Fritsche, B Mukherjee Statistics in Medicine 39 (14), 1965-1979, 2020 | 16* | 2020 |
| Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanks M Salvatore, LJ Beesley, LG Fritsche, D Hanauer, X Shi, AM Mondul, ... Journal of biomedical informatics 113, 103652, 2021 | 15 | 2021 |
Bhramar MukherjeeProfessor of Biostatistics, University of MichiganBestätigte E-Mail-Adresse bei umich.edu
