Douglas Landsittel
PhD
Research Interests
Design and analysis of intervention studies and prognostic models (including neural network and tree-based models), with a focus on applications in biomarker research, occupational studies, critical care medicine, kidney and liver transplant, and polycystic kidney disease; propensity score-based methods and other methods for causal inference in nonrandomized studies and comparative effectiveness; and data coordination of multi-site studies.
Selected Publications
- Wassell JT, Gardner LI, Landsittel DP, Johnston JJ, Johnston JM. A prospective study of back belts for prevention of back pain and injury. JAMA. 2000 Dec 6;284(21):2727-32.
- Landsittel D, Singh H, Arena VC, Anderson SJ. Null distribution of the likelihood ratio statistic for feed-forward neural networks. Journal of Modern and Applied Statistical Methods. 2002;1(2):333-42.
- Yu YP, Landsittel D, Jing L, Nelson J, Ren B, Liu L, McDonald C, Thomas R, Dhir R, Finkelstein S, Michalopoulos G, Becich M, Luo JH. Gene expression alterations in prostate cancer predicting tumor aggression and preceding development of malignancy. J Clin Oncol. 2004 Jul 15;22(14):2790-9.
- Landsittel D, Donohue-Babiak N. Effect of adding fold-change criteria to significance testing of microarray data. Journal of Simulation and Statistical Computation. 2010;80(1):89-97.
- Landsittel D. Estimating model complexity of feed-forward neural networks. Journal of Modern and Applied Statistical Methods. 2011;8(2):488-504.
- Landsittel D, Zhuang Z, Newcomb W, and Berry Ann R. Determining Sample Size and a Passing Criterion for Respirator Fit Test Panels. J Occup Environ Hyg. 2014;11(2): 77-84.
- Landsittel D, Kessler L, Schmid C, Marantz P, Suarez-Almazor M. Training in Patient-Centered Outcomes Research for Specific Researcher Communities. J Clin Transl Sci. 2017
- Shaikh N, Hoberman A, Hum SW, Muniz G, Kurs-Lasky M, Landsittel D, Shope T. Development and validation of a calculator for estimating the probability of urinary tract infections in young febrile children. JAMA Pediatr. 2018 Jun 1;172(6):550-556.
- Landsittel D, Chang C-C H, Morton, SC. 2019. Guidance for Researchers on Optimal Methods for Conducting Comparative Effectiveness Research With Observational Data. Washington, DC: Patient-Centered Outcomes Research Institute (PCORI). https://doi.org/10.25302/11.2019.ME.130603827
- Landsittel D, Srivastava A, Kropf K. Methods for Causal Inference and Associated Educational Resources. Quality Management in Health Care. October/December 2020 29(4):260–269.
- Cherukuri, A., Salama, A.D., Mehta, R., Mohib, K., Zheng, L., Magee, C., Harber, M., Stauss, H., Baker, R.J., Tevar, A. and Landsittel, D. Transitional B cell cytokines predict renal allograft outcomes. Science Translational Medicine, February 2021 13(582):eabe4929.
- Postelnicu, R., Srivastava, A., Bhatraju, P.K., Wurfel, M.M., Anesi, G.L., Gonzalez, M., Andrews, A., Lutrick, K., Kumar, V., Uyeki, T.M., Cobb, J.P., Segal, L.N., Brett-Major, D., Liebler, J.M., Kratochvil, C.J., Mukherjee, V., Broadhurst, M.J., Lee, R., Wyles, D., Sevransky, J.E., Evans, L., Landsittel, D. (contact author), on behalf of SCCM Discovery Network. Severe Acute Respiratory Infection—Preparedness: Protocol for a Multicenter Prospective Cohort Study of Viral Respiratory Infections. Critical Care Explorations, 2022;4(10), p.e0773.
- Kwee, S.A., Wong, L.L., Ludema, C., Deng, C., Taira, D., Seto, T., Landsittel, D.P. 2023. Target Trial Emulation: A Design Tool for Cancer Clinical Trials. JCO Clinical Cancer Informatics, 7:e2200140.