Gillings Career Services Virtual Summer Series
“Don't Quarantine Your Career: Log In & Learn” series Join UNC's Gillings School Career Services office for their “Don't Quarantine Your Career: Log In & Learn” weekly career series to... Read more »
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Biostatistics Events
Gillings Career Services Virtual Summer Series
“Don't Quarantine Your Career: Log In & Learn” series Join UNC's Gillings School Career Services office for their “Don't Quarantine Your Career: Log In & Learn” weekly career series to... Read more »
Gillings Career Services Virtual Summer Series
“Don't Quarantine Your Career: Log In & Learn” series Join UNC's Gillings School Career Services office for their “Don't Quarantine Your Career: Log In & Learn” weekly career series to... Read more »
Gillings Career Services Virtual Summer Series
“Don't Quarantine Your Career: Log In & Learn” series Join UNC's Gillings School Career Services office for their “Don't Quarantine Your Career: Log In & Learn” weekly career series to... Read more »
Gillings Career Services Virtual Summer Series
“Don't Quarantine Your Career: Log In & Learn” series Join UNC's Gillings School Career Services office for their “Don't Quarantine Your Career: Log In & Learn” weekly career series to... Read more »
Gillings Career Services Virtual Summer Series
“Don't Quarantine Your Career: Log In & Learn” series Join UNC's Gillings School Career Services office for their “Don't Quarantine Your Career: Log In & Learn” weekly career series to... Read more »
Gillings Career Services Virtual Summer Series
“Don't Quarantine Your Career: Log In & Learn” series Join UNC's Gillings School Career Services office for their “Don't Quarantine Your Career: Log In & Learn” weekly career series to... Read more »
Gillings Career Services Virtual Summer Series
“Don't Quarantine Your Career: Log In & Learn” series Join UNC's Gillings School Career Services office for their “Don't Quarantine Your Career: Log In & Learn” weekly career series to... Read more »
Gillings Career Services Virtual Summer Series
“Don't Quarantine Your Career: Log In & Learn” series Join UNC's Gillings School Career Services office for their “Don't Quarantine Your Career: Log In & Learn” weekly career series to... Read more »
Statistical Considerations in the Design and Analysis of SARS-CoV-2 Prevalence Studies
Presenters: Michael Hudgens, PhD, professor, Department of Biostatistics Bonnie Shook-Sa, DrPH, postdoctoral research associate, Department of Biostatistics SARS-CoV-2 PCR and serology tests are critical tools for identifying COVID-19 infections, modeling... Read more »
Collaborative Core Center for Clinical Research Speaker Series – Statistical Methods to Machine Learning: Methods for Learning from Data
The Collaborative Core Center for Clinical Research is hosting a speaker series that highlights methodological work being conducted by researchers across the National Institute of Arthritis and Musculoskeletal and Skin... Read more »
Biostatistics Seminar: Truncated Latent Gaussian Copula Model for Zero-Inflated Data
Truncated Latent Gaussian Copula Model for Zero-Inflated Data Dr. Gaynanova’s research focuses on the development of statistical methods to address the challenges associated with the analysis of modern high-dimensional biomedical... Read more »
Biostatistics Seminar – Online Multiple Hypothesis Testing
Dr. Ramdas' main theoretical and methodological research interests include selective and simultaneous inference, sequential uncertainty quantification, and distribution-free black-box predictive inference. His areas of applied interest include neuroscience, genetics and... Read more »
Biostatistics Seminar: Efficient Epidemiological Study Designs for Quantitative, Multivariate Longitudinal Data
The Department of Biostatistics welcomes the remote visit of Dr. Jonathan Schildcrout, vice chair for research, biostatistics at Vanderbilt University Medical Center. Dr. Schildcrout's main research interests are in longitudinal... Read more »
Biostatistics Seminar: Reframing Proportional-Hazards Modeling for Large Time-to-Event Datasets with Applications to Deep Learning
We are welcoming Dr. Simon, who will talk about "Reframing proportional-hazards modeling for large time-to-event datasets with applications to deep learning." Dr. Simon works on machine learning (including penalized regression... Read more »