| Comparing Non-Malignancy Rate Definitions Utilizing the NLST Cohort |
Christopher Caruso |
University of Pennsylvania |
NLST |
May 16, 2024 |
NLST-1245 |
| Comparing the accuracy of machine learning diagnosis of lung cancer from different data modalities |
Polina Golland |
Massachusetts Institute of Technology |
NLST |
Nov 5, 2024 |
NLST-1349 |
| Comparison and Evaluation of Different Methods for Uncertainty Quantification in Machine Learning |
Katharina Juliane Lempe |
Universität Leipzig, Medizinische Fakultät, Innovation Center Computer Assisted Surgery |
PLCO |
Dec 16, 2024 |
PLCO-1763 |
| Comparison of multi-cancer early detection with LDCT in a lung cancer screening population |
Jonathan Heiss |
GRAIL, LLC |
NLST |
Feb 8, 2023 |
NLST-1014 |
| Comparison of National Lung Cancer Resection Outcomes to Screening Trial Outcomes |
Tyler Grenda |
Sidney Kimmel Medical College, Thomas Jefferson University |
NLST |
Jan 27, 2020 |
NLST-633 |
| Comparison of net endogenous acid production from dietary self-report instruments against recovery biomarker-derived measures |
Douglas Chang |
National Institute of Diabetes and Digestive and Kidney Diseases |
IDATA |
Mar 21, 2024 |
IDATA-71 |
| Comparison of radiologist recommended follow-up with procedures received by study participants following screening with LDCT |
Nana Boame |
Brown University |
NLST |
Jun 22, 2020 |
NLST-680 |
| Comparison of rates of radiological imaging in control arm of PLCO vs UK population |
Matthew Callister |
Leeds Teaching Hospitals NHS Trust |
PLCO |
Jul 9, 2013 |
PLCO-39 |
| Comparison of Recurrent Neural Network (RNN) versus Survival Analysis for Lung Cancer Risk Prediction |
Li Cheung |
National Cancer Institute |
NLST |
Sep 29, 2025 |
NLST-1478 |
| Comparison of self-reported water intake against recovery biomarkers |
Douglas Chang |
National Institute of Diabetes and Digestive and Kidney Diseases |
IDATA |
Mar 25, 2022 |
IDATA-54 |
| Comparison of the PLCO data with the ovarian cancer screening data in Japan |
Noriomi Matsumura |
Kyoto University |
PLCO |
Jan 15, 2014 |
PLCO-56 |
| Competing risks analysis of multiple cancers with application to vitamin D in PLCO |
Yei Eun Shin |
Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute |
PLCO |
Feb 2, 2022 |
PLCO-904 |
| Competing risks analysis of multiple cancers with application to vitamin D in PLCO |
Yei Eun Shin |
Seoul National University |
PLCO |
Nov 17, 2025 |
PLCO-1979 |
| Competing risks model with application to lung cancer and breast cancer in PLCO |
Minjung Lee |
Kangwon National University |
PLCO |
Jun 6, 2023 |
PLCO-1248 |
| Compliance and Mortality |
Paul Pinsky |
NCI |
PLCO |
Feb 2, 2017 |
PLCO-255 |
| Components of survival time of screen detected cancer cases |
Philip Prorok |
NCI |
NLST |
Feb 3, 2015 |
NLST-117 |
| Components of survival time of screen detected cancer cases |
Philip Prorok |
NCI |
PLCO |
Feb 3, 2015 |
PLCO-129 |
| Comprehensive Analysis of Risk Factors and Predictive Modeling for Different Cancer types in the PLCO Dataset |
Cheng He |
Mirxes Labs Pte Ltd |
PLCO |
Dec 16, 2024 |
PLCO-1768 |
| Comprehensive Lung Cancer Assessment via Deep Learning |
Qian Li |
VoxelCloud, inc. |
NLST |
Jan 10, 2018 |
NLST-386 |
| Comprehensive Quality Management (CQM) in the PLCO Trial |
Pam Marcus |
NCI |
PLCO |
Sep 16, 2015 |
PLCO-164 |
