Michael Kane
PhD, MA, MS
Assistant Professor Adjunct of Biostatistics
Research & Publications
Biography
News
Locations
Extensive Research Description
Michael Kane is an
associate research scientist at the Yale Center for Analytical Sciences. His
primary research interests are in the areas of high-performance statistical
computing as well as graphical models.
Michael Kane received his
M.S. from Rochester Institute of Technology and his M.A. and Ph.D. from Yale
University. He is the recipient of the John M. Chamber’s Statistical Software
Award for from the American Statistical Association.
Coauthors
Research Interests
Computing Methodologies; Mathematical Computing; Reproducibility of Results; Statistics; Biostatistics; Machine Learning
Public Health Interests
Clinical Trials; Environmental Health
Selected Publications
- Assessing readiness to use electronic health record data for outcome ascertainment in clinical trials – A case studyEsserman D, Greene E, Latham N, Kane M, Lu C, Peduzzi P, Gill T, Ganz D. Assessing readiness to use electronic health record data for outcome ascertainment in clinical trials – A case study. Contemporary Clinical Trials 2024, 142: 107572. PMID: 38740298, DOI: 10.1016/j.cct.2024.107572.
- A Bayesian platform trial design with hybrid control based on multisource exchangeability modellingWei W, Blaha O, Esserman D, Zelterman D, Kane M, Liu R, Lin J. A Bayesian platform trial design with hybrid control based on multisource exchangeability modelling. Statistics In Medicine 2024, 43: 2439-2451. PMID: 38594809, DOI: 10.1002/sim.10077.
- Validation of a Rule-Based ICD-10-CM Algorithm to Detect Fall Injuries in Medicare DataGanz D, Esserman D, Latham N, Kane M, Min L, Gill T, Reuben D, Peduzzi P, Greene E. Validation of a Rule-Based ICD-10-CM Algorithm to Detect Fall Injuries in Medicare Data. The Journals Of Gerontology Series A 2024, 79: glae096. PMID: 38566617, PMCID: PMC11167485, DOI: 10.1093/gerona/glae096.
- A compressed large language model embedding dataset of ICD 10 CM descriptionsKane M, King C, Esserman D, Latham N, Greene E, Ganz D. A compressed large language model embedding dataset of ICD 10 CM descriptions. BMC Bioinformatics 2023, 24: 482. PMID: 38105180, PMCID: PMC10726612, DOI: 10.1186/s12859-023-05597-2.
- Regression methods for the appearances of extremes in climate dataYu C, Blaha O, Kane M, Wei W, Esserman D, Zelterman D. Regression methods for the appearances of extremes in climate data. Environmetrics 2022, 33 DOI: 10.1002/env.2764.
- Bayesian local exchangeability design for phase II basket trialsLiu Y, Kane M, Esserman D, Blaha O, Zelterman D, Wei W. Bayesian local exchangeability design for phase II basket trials. Statistics In Medicine 2022, 41: 4367-4384. PMID: 35777367, PMCID: PMC10279458, DOI: 10.1002/sim.9514.
- Bayesian basket trial design with false-discovery rate control.Zabor EC, Kane MJ, Roychoudhury S, Nie L, Hobbs BP. Bayesian basket trial design with false-discovery rate control. Clinical Trials (London, England) 2022, 19: 297-306. PMID: 35128970, DOI: 10.1177/17407745211073624.
- Circadian Rhythm Analysis Using Wearable Device Data: Novel Penalized Machine Learning ApproachLi X, Kane M, Zhang Y, Sun W, Song Y, Dong S, Lin Q, Zhu Q, Jiang F, Zhao H. Circadian Rhythm Analysis Using Wearable Device Data: Novel Penalized Machine Learning Approach. Journal Of Medical Internet Research 2021, 23: e18403. PMID: 34647895, PMCID: PMC8554674, DOI: 10.2196/18403.
- Unified exact design with early stopping rules for single arm clinical trials with multiple endpointsWei W, Esserman D, Kane M, Zelterman D. Unified exact design with early stopping rules for single arm clinical trials with multiple endpoints. Statistical Methods In Medical Research 2021, 30: 1575-1588. PMID: 34159859, PMCID: PMC8959087, DOI: 10.1177/09622802211013062.
- Two‐stage randomized trial design for testing treatment, preference, and self‐selection effects for count outcomesShi Y, Cameron B, Gu X, Kane M, Peduzzi P, Esserman DA. Two‐stage randomized trial design for testing treatment, preference, and self‐selection effects for count outcomes. Statistics In Medicine 2020, 39: 3653-3683. PMID: 32875582, DOI: 10.1002/sim.8686.
- preference : An R Package for Two-Stage Clinical Trial Design Accounting for Patient PreferenceCameron B, Kane M, Esserman D. preference : An R Package for Two-Stage Clinical Trial Design Accounting for Patient Preference. Journal Of Statistical Software 2020, 94 DOI: 10.18637/jss.v094.c02.
- Basket Designs: Statistical Considerations for Oncology Trials.Kaizer AM, Koopmeiners JS, Kane MJ, Roychoudhury S, Hong DS, Hobbs BP. Basket Designs: Statistical Considerations for Oncology Trials. JCO Precision Oncology 2019, 3: 1-9. PMID: 35100726, DOI: 10.1200/PO.19.00194.
- A two‐stage phase II clinical trial design with nested criteria for early stopping and efficacyDeVeaux M, Kane M, Wei W, Zelterman D. A two‐stage phase II clinical trial design with nested criteria for early stopping and efficacy. Pharmaceutical Statistics 2019, 18: 700-713. PMID: 31507079, PMCID: PMC6996237, DOI: 10.1002/pst.1965.
- Factors Associated With Cancer Disparities Among Low-, Medium-, and High-Income US CountiesO’Connor J, Sedghi T, Dhodapkar M, Kane MJ, Gross CP. Factors Associated With Cancer Disparities Among Low-, Medium-, and High-Income US Counties. JAMA Network Open 2018, 1: e183146. PMID: 30646225, PMCID: PMC6324449, DOI: 10.1001/jamanetworkopen.2018.3146.
- Clinical Trial Design Using A Stopped Negative Binomial Distribution.DeVeaux M, Kane MJ, Zelterman D. Clinical Trial Design Using A Stopped Negative Binomial Distribution. Statistics And Its Interface 2018, 11: 699-707. PMID: 30655933, PMCID: PMC6333309, DOI: 10.4310/sii.2018.v11.n4.a13.
- Lung Nodule Detection via Deep Reinforcement LearningAli I, Hart GR, Gunabushanam G, Liang Y, Muhammad W, Nartowt B, Kane M, Ma X, Deng J. Lung Nodule Detection via Deep Reinforcement Learning. Frontiers In Oncology 2018, 8: 108. PMID: 29713615, PMCID: PMC5912002, DOI: 10.3389/fonc.2018.00108.
- Modeling risk of occupational zoonotic influenza infection in swine workersPaccha B, Jones RM, Gibbs S, Kane MJ, Torremorell M, Neira-Ramirez V, Rabinowitz PM. Modeling risk of occupational zoonotic influenza infection in swine workers. Journal Of Occupational And Environmental Hygiene 2016, 13: 577-587. PMID: 26950677, DOI: 10.1080/15459624.2016.1159688.
- Global Burden of Leptospirosis: Estimated in Terms of Disability Adjusted Life YearsTorgerson PR, Hagan JE, Costa F, Calcagno J, Kane M, Martinez-Silveira MS, Goris MG, Stein C, Ko AI, Abela-Ridder B. Global Burden of Leptospirosis: Estimated in Terms of Disability Adjusted Life Years. PLOS Neglected Tropical Diseases 2015, 9: e0004122. PMID: 26431366, PMCID: PMC4591975, DOI: 10.1371/journal.pntd.0004122.
- Global Morbidity and Mortality of Leptospirosis: A Systematic ReviewCosta F, Hagan JE, Calcagno J, Kane M, Torgerson P, Martinez-Silveira MS, Stein C, Abela-Ridder B, Ko AI. Global Morbidity and Mortality of Leptospirosis: A Systematic Review. PLOS Neglected Tropical Diseases 2015, 9: e0003898. PMID: 26379143, PMCID: PMC4574773, DOI: 10.1371/journal.pntd.0003898.
- Proximity to Natural Gas Wells and Reported Health Status: Results of a Household Survey in Washington County, PennsylvaniaRabinowitz PM, Slizovskiy IB, Lamers V, Trufan SJ, Holford TR, Dziura JD, Peduzzi PN, Kane MJ, Reif JS, Weiss TR, Stowe MH. Proximity to Natural Gas Wells and Reported Health Status: Results of a Household Survey in Washington County, Pennsylvania. Environmental Health Perspectives 2014, 123: 21-26. PMID: 25204871, PMCID: PMC4286272, DOI: 10.1289/ehp.1307732.
- Comparison of ARIMA and Random Forest time series models for prediction of avian influenza H5N1 outbreaksKane MJ, Price N, Scotch M, Rabinowitz P. Comparison of ARIMA and Random Forest time series models for prediction of avian influenza H5N1 outbreaks. BMC Bioinformatics 2014, 15: 276. PMID: 25123979, PMCID: PMC4152592, DOI: 10.1186/1471-2105-15-276.
- Multiple types of motives don't multiply the motivation of West Point cadetsWrzesniewski A, Schwartz B, Cong X, Kane M, Omar A, Kolditz T. Multiple types of motives don't multiply the motivation of West Point cadets. Proceedings Of The National Academy Of Sciences Of The United States Of America 2014, 111: 10990-10995. PMID: 24982165, PMCID: PMC4121823, DOI: 10.1073/pnas.1405298111.
- Phylogeography of influenza A H5N1 clade 2.2.1.1 in EgyptScotch M, Mei C, Makonnen YJ, Pinto J, Ali A, Vegso S, Kane M, Sarkar IN, Rabinowitz P. Phylogeography of influenza A H5N1 clade 2.2.1.1 in Egypt. BMC Genomics 2013, 14: 871. PMID: 24325606, PMCID: PMC3878885, DOI: 10.1186/1471-2164-14-871.
- Benchmarking Technology Infrastructures for Embarrassingly and Non-Embarrassingly Parallel Problems in Biomedical DomainKazmi S, Kane M, Krauthammer M. Benchmarking Technology Infrastructures for Embarrassingly and Non-Embarrassingly Parallel Problems in Biomedical Domain. 2013, 1-4. DOI: 10.1109/bsec.2013.6618496.