Daniel F. Heitjan
Affiliations: | Columbia University, New York, NY |
Area:
Biostatistics BiologyGoogle:
"Daniel Heitjan"Children
Sign in to add trainee| Nandita Mitra | grad student | 2001 | Columbia |
| Guoguang Ma | grad student | 2002 | Columbia |
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Publications
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| Jing B, Qian Y, Heitjan DF, et al. (2023) Tutorial: Assessing the impact of nonignorable missingness on regression analysis using Index of Local Sensitivity to Nonignorability. Psychological Methods |
| Yun J, Filardo G, Ahuja V, et al. (2023) Predicting hospital readmission in Medicaid patients with diabetes using administrative and claims data. The American Journal of Managed Care. 29: e229-e234 |
| Turer CB, Park JJ, Gupta OT, et al. (2023) Electronic phenotypes to distinguish clinician attention to high body mass index, hypertension, lipid disorders, fatty liver and diabetes in pediatric primary care: Diagnostic accuracy of electronic phenotypes compared to masked comprehensive chart review. Pediatric Obesity. e13066 |
| Chen H, Heitjan DF. (2023) Sensitivity of estimands in clinical trials with imperfect compliance. The International Journal of Biostatistics |
| Pruitt SL, Tavakkoli A, Zhu H, et al. (2022) Survival of cancer survivors with a new pancreatic cancer diagnosis. Cancer Medicine |
| Balagopal A, Morgan H, Dohopolski M, et al. (2021) PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes. Artificial Intelligence in Medicine. 121: 102195 |
| Chen X, Heitjan DF, Greil G, et al. (2021) Estimating the optimal timing of surgery by imputing potential outcomes. Statistics in Medicine |
| Chen H, Heitjan DF. (2021) Analysis of local sensitivity to nonignorability with missing outcomes and predictors. Biometrics |
| Pruitt SL, Gerber DE, Zhu H, et al. (2021) Survival of patients newly diagnosed with colorectal cancer and with a history of previous cancer. Cancer Medicine |
| Tsai S, Nguyen H, Ebrahimi R, et al. (2021) COVID-19 associated mortality and cardiovascular disease outcomes among US women veterans. Scientific Reports. 11: 8497 |