Approved Projects
Here you can browse the complete list of projects on CDAS whose requests for data/biospecimens were approved.
| Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
|---|---|---|---|---|---|
| The Use of Machine Learning to predict if patients with Renal Cancer will surivive or not | Vineel Ramineni | Academies of Loudoun | PLCO | Feb 27, 2023 | PLCO-1169 |
| The use of marginal structural model to determine the effect of non-steroidal anti-inflammatory drug use on the risk of prostate and ovarian cancer | Omonefe Omofuma | University of south Carolina | PLCO | Mar 17, 2017 | PLCO-265 |
| The utility of CT-based nodule characteristics and polygenic risk score in the setting of a lung cancer screening trial. | Gerard Silvestri | Medical University of South Carolina | NLST | Mar 11, 2024 | NLST-1201 |
| Thoracic Disease Classification and Localization on Chest X-rays | Junzhou Huang | The University of Texas at Arlington | PLCO | Aug 20, 2018 | PLCO-391 |
| Threshold quantile regression models with applications to PSA data | Eun Ryung Lee | Sungkyunkwan University | PLCO | Jan 7, 2022 | PLCO-893 |
| Thyroid Cancer and NSAIDs | Jigarkumar Patel | NCI, DCP, GOCRG | PLCO | Mar 12, 2014 | PLCO-69 |
| Thyroid Cancer and NSAIDs: A Pooled Analysis | Naris Nilubol | NCI, CCR, EOB | PLCO | Nov 2, 2012 | PLCO-1 |
| Thyroid carcinoma relation with ovaries using Machine Learning Techniques | Geetanjali Rave | Ramaiah Institute of Technology | NLST | Mar 2, 2022 | NLST-890 |
| Thyroid disease prediction using machine learning algorithm | Sneha Maria George | Christ(Deemed to be University) | PLCO | Apr 16, 2021 | PLCO-773 |
| Thyroid Hormones, Thyroid Status, and Risk of Prostate Cancer | Alison Mondul | NCI | PLCO | Apr 27, 2012 | 2012-0027 |
| Time course of biomarkers | Paul Pinsky | DCP, NCI | PLCO | Jan 18, 2024 | PLCO-1454 |
| Time Lag to Benefit: A Systematic Review and Meta-Analysis of Lung Cancer Screening Trials | Alison Rustagi | University of California, San Francisco | NLST | Oct 18, 2022 | NLST-972 |
| Time Lag to Benefit: A Systematic Review and Meta-Analysis of Lung Cancer Screening Trials | Alison Rustagi | University of California, San Francisco | LSS | Oct 27, 2022 | LSS-3 |
| Time-specific measures of benefits due to screening | Olli Saarela | University of Toronto | NLST | Sep 10, 2015 | NLST-158 |
| Time to benefit for lung cancer screening from low-dose computed tomography | Tao Chen | Xi'an Jiaotong University | NLST | Jun 26, 2023 | NLST-1089 |
| Time to benefit for lung cancer screening from low-dose computed tomography | Tao Chen | Xi'an Jiaotong University | LSS | Jul 19, 2023 | LSS-6 |
| Time to Event Prediction Based on Risk Calculation from Biomarkers | Anna Lokshin | University of Pittsburgh | PLCO | Sep 4, 2018 | PLCO-395 |
| Time to Event Prediction Based on Risk Calculation from Biomarkers | Anna Lokshin | University of Pittsburgh | PLCO | Jan 28, 2021 | PLCO-717 |
| Time To First Cigarette and Lung cancer, as well as other smoking related diseases | Fangyi Gu | National Cancer Institute | NLST | Mar 14, 2014 | NLST-65 |
| Time-Varying Measurement Error Models | Raymond Carroll | Texas A&M University | IDATA | Mar 20, 2017 | IDATA-10 |