Research
PSCCV202201Web.pdfhttp://orcid.org/0000-0003-1987-320X
RESEARCH INTERESTS
-- Time-dependent Predictive Accuracy
-- Classification, Diagnostic and Prognostic Accuracy
-- Specimen Pooling/Microaggregation, application for data privacy and data security
-- Pharmacoepidemiology
-- Health Informatics and Electronic Health Records
-- Longitudinal Study
-- Observational Registry; Epidemiological Study; Health Outcomes/Outcomes Research; Real world evidence
Publications
The pdf links are not updated recently. If you need a copy of any article below, please feel free to email me. Thank you.
METHODOLOGICAL
15. Saha-Chaudhuri P. and Juwara L+. Modeling Survival Data under the Proportional Hazards Modelwith Pooled Covariates. Statistics in Medicine. 2021. (+student)
14. Dey R+, Sebastiani G and Saha-Chaudhuri P. Estimation of Time-Dependent Predictive Accuracy in the Presenceof Competing Risks. BMC Medical Research Methodology. 2020. (+student)
13. Katki H, Dey R+, Saha-Chaudhuri P. Number needed to test: Quantifying risk stratification provided by diagnostic tests and risk predictions. Biostatistics and Epidemiology. 2020 (+student).
12. Juwara L+, . . . , Saha-Chaudhuri P, Velly AM. Predicting neuropathic pain after breast cancer surgery using machine learning. International Journal of Medical Informatics. 2020 (+student). https://pubmed.ncbi.nlm.nih.gov/32544823/
11. Saha-Chaudhuri P, . . . , Sapir-Pichhadze R. Predicting Expanded Criteria Donor Transplant Outcomes - A Retrospective Cohort Study. Canadian Journal of Kidney Health and Disease. 2020.
10. Saha-Chaudhuri P, Heagerty PJ. Dynamic Thresholds and a Summary ROC Curve: Assessing the Prognostic Accuracy of Longitudinal Markers. Statistics in Medicine. 37 (18): 2700-2714, 2018. https://www.ncbi.nlm.nih.gov/pubmed/29671890
9. Saha-Chaudhuri P, Weinberg CR. Addressing Data Privacy via Virtual Pooling. BMC Medical Research Methodology. 17 (1):136, 2017. https://www.ncbi.nlm.nih.gov/pubmed/28882105
8. French B*, Saha-Chaudhuri P*, Ky B, Cappola TP, Heagerty PJ. Development and evaluation of multi-marker risk scores for clinical prognosis. (* Joint first authors) Statistical Methods in Medical Research. 25 (1): 255-271, 2016. http://www.ncbi.nlm.nih.gov/pubmed/22767865
7. Zhu Z, Wang X, Saha-Chaudhuri P, Kosinski AS, George SL. Nonparametric Estimation of Time-Dependent AUC under Marker-Dependent Sampling. Biometrical Journal. 58 (4):974-92, 2016. https://www.ncbi.nlm.nih.gov/pubmed/27119599
6. Ko Y-A, Saha-Chaudhuri P, Park SK, Vokonas PS, Mukherjee B. Novel Likelihood Ratio Tests for Screening Gene-Gene and Gene-Environment Interactions with Unbalanced Repeated-Measures Data. Genetic Epidemiology. 37 (6): 581-591, 2013. http://onlinelibrary.wiley.com/doi/10.1002/gepi.21744/abstract
5. Saha-Chaudhuri P, Weinberg CR. Specimen pooling for efficient use of bio-specimens in studies of time to a common event. American Journal of Epidemiology. 178 (1): 126-135, 2013. http://www.ncbi.nlm.nih.gov/pubmed/23821316
4. Saha-Chaudhuri P, Heagerty PJ. Non-parametric estimation of a time-dependent predictive accuracy curve. Biostatistics. 14 (1): 42-59, 2013. http://www.ncbi.nlm.nih.gov/pubmed/22734044
3. Saha-Chaudhuri P, Umbach DM, Weinberg CR. Pooled exposure analysis for matched case-control studies. Epidemiology 22 (5): 704-712, 2011. http://www.ncbi.nlm.nih.gov/pubmed/21747285?dopt=Abstract
2. Saha P, Heagerty PJ. Time-dependent predictive accuracy in the presence of competing risks. Biometrics 66 (4): 999-1011, 2010. http://dx.doi.org/10.1111/j.1541-0420.2009.01375.x
1. Das A, Dey A, Saha P*. Small asymmetric fractional factorial plans for main effects and specified two-factor interactions. Metrika 62 : 33-52, 2005. (* Authors are listed alphabetically by convention.) https://link.springer.com/article/10.1007/s001840400353
SUBSTANTIVE
34. Yao CW, Saha-Chaudhuri P, Zolfaghari S, Pelletier A, Postuma RB. Phenoconversion from Possible REM Sleep Behavior to Parkinsonism in the Population-Based CLSA. Movement Disorders, 2021. (Letter)
33. Tissot C, . . . , Saha-Chaudhuri P, et al. Plasma pTau181 predicts cortical brain atrophy in aging and Alzheimer’s disease. Alzheimer's Research & Therapy, 13 (69) 2021.
32. Lambert S, . . . , Saha-Chaudhuri P, et al. A study protocol for a multicenter randomized pilot trial of a dyadic, tailored, web-based, psychosocial, and physical activity self-management program (TEMPO) for men with prostate cancer and their caregivers. Pilot and Feasibility Studies, 7(78) 2021.
31. Therriault J, ..., Saha-Chaudhuri P, ..., Rosa-Neto P. Determining Amyloid-beta positivity using [18F] AZD4694 PET imaging. Journal of Nuclear Medicine, 62 (2), 247-252. 2021.
30. Therriault J, ..., Saha-Chaudhuri P, ..., Rosa-Neto P. Frequency of biologically-defined AD in relation to age, sex, APOEe4 and cognitive impairment in a prospective cohort study. Neurology, 96 (7) e975-e985. 2021.
29. Karikari T, Benedet AL, Ashton NJ, ..., Saha-Chaudhuri P, ..., Blennow K, Zetterberg H. Diagnostic performance and prediction of clinical progression of plasma phospho-tau181 in the Alzheimer’sDisease Neuroimaging Initiative. Molecular Psychiatry, 26, 429–442. 2021.
28. Therriault J, ..., Saha-Chaudhuri P,..., Rosa-Neto P. Topographical distribution of Amyloid-β, tau and atrophy in behavioral/dysexecutive AD patients. Neurology, 96:e81-e92. 2021.
27. Lambert S, . . . , Saha-Chaudhuri P, et al. Acceptability and usefulness of a dyadic, tailored, web-based, psychosocial and physical activity self-management programme (TEMPO): A qualitative study. Journal of Clinical Medicine, 9(10), 3284. 2020.
26. Suarthana E, . . . , Saha-Chaudhuri P, et al. The validity of the Canadian clinical scores for occupational asthma in European populations. Allergy. 2020.
25. Therriault J, Saha-Chaudhuri P, . . . , Rosa-Neto P. APOEe4 potentiates the relationship between Amyloid-beta and Tau pathologies. Molecular Psychiatry. 2020.
24. Therriault J, Saha-Chaudhuri P, . . . , Rosa-Neto P. Association of APOE.e4 with medial temporal tau independent of Amyloid-beta. JAMA Neurology. 2020.
23. Loiselle CG, . . . , Saha-Chaudhuri P, Talbot D. The nurse pivot-navigator associated with more positive cancer care experiences and higher patient satisfaction. Canadian Oncology Nursing Journal. 2019
22. Taghiakbari M, . . . , Saha-Chaudhuri P, . . . , Suarthana E. Novel Clinical Scores for Occupational Asthma due to Exposure to High-molecular-weight Agents. Occupational and Environmental Medicine. 2019. https://www.ncbi.nlm.nih.gov/pubmed/31005857
21. Hsu Y-J, . . . , Saha-Chaudhuri P, et al. Using a society database to evaluate a patient safety collaborative: The Cardiovascular Surgical Translational Study. Journal of Comparative Effectiveness Research. 8(1):21-32, 2019. https://www.ncbi.nlm.nih.gov/pubmed/30525958
20. Lee TC, . . . , Chaudhuri PS, et al. Contemporary Management and Outcomes of Acute Type A Aortic Dissection: An Analysis of the STS Adult Cardiac Surgery Database. Journal of Cardiac Surgery. 33(1):7-18, 2018. https://www.ncbi.nlm.nih.gov/pubmed/29314257
19. Anderson M, . . . , Saha Chaudhuri P, et al. Outcomes of a Multi-Community Hypertension Implementation Study: The American Heart Association’s Check. Change. Control. Program. Journal of Clinical Hypertension. 19(5):479-487, 2017. https://www.ncbi.nlm.nih.gov/pubmed/28058813
18. Baber U, . . . , Saha-Chaudhuri P, et al. Comparisons of the Uptake and In-Hospital Outcomes Associated with second-generation Drug Eluting Stents Between Men and Women: Results from the CathPCI Registry. Coronary Artery Disease. 27(6):442-8, 2016. https://www.ncbi.nlm.nih.gov/pubmed/27100661
17. Wimmer N, Secemsky E, Mauri L, Roe M, Saha-Chaudhuri P, et al. Effectiveness of arterial closure devices for preventing complications with percutaneous coronary intervention: an instrumental variable analysis. Circulation: Cardiovascular Interventions. 9(4):e003464, 2016. https://www.ncbi.nlm.nih.gov/pubmed/27059685
16. Kadakia MB, . . . , Choudhuri PS, et al. Transradial versus Transfemoral Access in Patients Undergoing Rescue Percutaneous Coronary Intervention After Fibrinolytic Therapy. Journal of the American College of Cardiology: Cardiovascular Interventions. 8(14):1868-76, 2015. https://www.ncbi.nlm.nih.gov/pubmed/26718516
15. Likosky DS, . . . , Saha-Chaudhuri P, et al. Hospital-level Variation in Infection Rates After Coronary Artery Bypass Grafting: an Analysis from the Society of Thoracic Surgeons Adult Cardiac Surgery Database. Annals of Thoracic Surgery. 100(5):1570-5, 2015. https://www.ncbi.nlm.nih.gov/pubmed/26321440
14. Farjah F, . . . , Saha-Chaudhuri P, et al. Failure-to-Rescue and Pulmonary Resection for Lung Cancer. Journal of Thoracic and Cardiovascular Surgery. 149 (5):1365-71, 2015. https://www.ncbi.nlm.nih.gov/pubmed/25791948
13. Swaminathan R, . . . , Saha-Chaudhuri P, et al. Hospital Length of Stay and Clinical Outcomes in Elderly ST-Segment Elevation Myocardial Infarction Patients After Primary Percutaneous Coronary Intervention: A Report from the NCDR. Journal of the American College of Cardiology 65 (12):1161-71, 2015. https://www.ncbi.nlm.nih.gov/pubmed/25814223
12. Englum BR, Saha-Chaudhuri P, et al. The impact of high-risk cases on hospitals’ risk-adjusted coronary artery bypass surgery mortality rankings. Annals of Thoracic Surgery 99 (3):856-62, 2015.
11. Linden P, . . . , Saha-Chaudhuri P, Onitis M. Quantifying the safety benefit of Wedge Resection: A STS Database Propensity Matched Analysis. Annals of Thoracic Surgery 98 (5):1705-11, 2014.
10. Crestanello JA, Higgins RS, Sheng S, Saha-Chaudhuri P, et al. The association of chronic lung disease with early mortality and respiratory complications after AVR. Annals of Thoracic Surgery 98 (6):2068-77, 2014.
9. Savage EB, Saha-Chaudhuri P, Asher C, Brennan JM, Gammie JS. Prosthesis Choice And Outcomes For Active Aortic Valve Infective Endocarditis: Analysis Of The Society of Thoracic Surgeons Adult Cardiac Database. Annals of Thoracic Surgery 98 (3):806-14, 2014.
8. Kung H-C, Johnson MD, Saha-Chaudhuri P, Drew R, Perfect J. Clinical effectiveness of posaconazole versus fluconazole as antifungal prophylaxis in hematology-oncology patients: a retrospective cohort study. Cancer Medicine 3 (3):667-73, 2014.
7. Caceres M, Ma Y, Rankin JS, Saha-Chaudhuri P, et al. Mortality characteristics of aortic root surgery in North America. European Journal of Cardio-Thoracic Surgery 46 (5):887-93, 2014.
6. Ferguson MK, Saha-Chaudhuri P, Mitchell JD, Varela G, Brunelli A. Prediction of Major Cardiovascular Events After Lung Resection Using a Modified Scoring System: a Society of Thoracic Surgeons Database Analysis. Annals of Thoracic Surgery 97 (4):1135-40, 2014.
5. Anderson ML, Cox M, Al-khatib SM, Nichol G, Thomas KL, Chan PS, Saha-Chaudhuri P, Fosbol EL, Eigel B, Clendenen B, Peterson ED. Cardiopulmonary Resuscitation (CPR) Training Rates in the United States (US). Journal of the American Medical Association (JAMA) Internal Medicine 174 (2): 194-201, 2014. http://www.ncbi.nlm.nih.gov/pubmed/24247329
4. Vassileva CM, Brennan JM, Sheng S, Saha-Chaudhuri P, Gammie J. Mitral Procedure selection in Patients on Dialysis: Does Mitral Repair influence outcome? J Thorac Cardiovasc Surg 148 (1):144-150.e1, 2014.
3. Kilic A, Saha-Chaudhuri P, Rankin JS, Conte JV. Trends and Outcomes of Tricuspid Valve Surgery in North America. Annals of Thoracic Surgery 96 (5): 1546-52, 2013.
2. Cupul-Uicab LA, Baird DD, Skjaerven R, Saha-Chaudhuri P, Eggesbo M, Haug K, Longnecker MP. In utero exposure to maternal tobacco smoking and women’s risk of pregnancy loss later in life in the Norwegian Mother and Child Cohort (MoBa). Human Reproduction 26 (2): 458-465, 2011. http://humrep.oxfordjournals.org/content/early/2010/12/07/humrep.deq334.full
1. Robinson TE, Long FR, Raman P, Saha P, Emond MJ, Reinhardt JM, Raman R, Brody A. An airway parenchymal phantom to standardize CT acquisition in multicenter clinical trials. Academic Radiology 16 (9) : 1134-1141, 2009.