Lab Information

Nandini Dendukuri (PhD)

Scientist
Centre for Outcomes Research and Evaluation
Department of Medicine (McGill)

Research Profile

 Fundamental: 0%
 Clinical: 0%
 Epidemiology: 100%
 Evaluation: 0%
 This email address is being protected from spambots. You need JavaScript enabled to view it.
 http://www.nandinidendukuri.com/

Keywords

Bayesian inference • biostatistics • diagnostic tests • latents class models • technology assessment

Research Interests

My research focuses on the development of methods in the area of evaluating diagnostic tests in the absence of a gold standard, meta-analysis of diagnostic test properties and Bayesian estimation of small proportions. I am also involved in a number of collaborative projects with researchers in technology assessment and epidemiology.


Team Members

Name Position

Latest Publications

  1. Buczinski, S., Gomes, V., Vergnes, G., Poirier, M. C., Owusu-Afryie, S., Berman, J. & Dendukuri, N. (2026). Lung ultrasonography used as a diagnostic test for respiratory disease diagnosis in calves: systematic review and meta-analysis using a Bayesian latent-class modelling approach. Journal of dairy science.
  2. Jenniskens, K., Naaktgeboren, C. A., Uffen, J.-W., Kellerhuis, B. E., van Smeden, M., Kaasjager, K. H. A. H., Oosterheert, J. J., Dendukuri, N. & Reitsma, J. B. (2026). Estimating diagnostic accuracy under uncertainty about disease status: a sepsis case study. Journal of clinical epidemiology, p. 112290.
  3. Wu, T., Dickinson, K., Schiller, I., Tsering, T., Chen, Y., Nadeau, A., Dendukuri, N., Agnihotram, V. R. & Burnier, J. V. (2026). Circulating Tumour DNA and Extracellular Vesicle-Associated DNA as Biomarkers for Cancer Detection: A Systematic Review and Meta-Analysis. Journal of extracellular biology, vol. 5, p. e70123.
  4. Fierenz, A., Akacha, M., Benda, N., Badpa, M., M M Bossuyt, P., Dendukuri, N., Rackow, B. & Zapf, A. (2025). The Estimand Framework in Diagnostic Accuracy Studies. Statistics in medicine, vol. 44, p. e70248.
  5. Song, R., Bijker, E. M., Kisitu, G., Douglass, E., Nasinghe, E., Basile, F. W., Khambati, N., Penn-Nicholson, A., Ruhwald, M., Kim, S., Mudrak, N., Dendukuri, N., Ugarte-Gil, C., Salgame, P., Alland, D., Dorman, S. E., Ellner, J., Joloba, M., Kekitiinwa, A. & NOD-pedFEND consortium (2025). Novel and optimized diagnostics for pediatric TB in endemic countries: NOD-pedFEND study protocol. BMC pediatrics, vol. 25, p. 647.
  6. Olbrich, L., Yang, B., Poore, H., Razid, A., Sweetser, B., Damkjær, M. W., Kay, A. W., Åhsberg, J., Nathavitharana, R. R., Schiller, I., Dendukuri, N., Lundh, A., Shah, M., Bjerrum, S. & Jaganath, D. (2025). Parallel use of low-complexity automated nucleic acid amplification tests on respiratory and stool samples with or without lateral flow lipoarabinomannan assays to detect pulmonary tuberculosis disease in children. The Cochrane database of systematic reviews, vol. 6, p. CD016071.
  7. Bjerrum, S., Yang, B., Åhsberg, J., Olbrich, L., Damkjær, M. W., Nathavitharana, R. R., Broger, T., Olaru, I. D., Sweetser, B., Poore, H., Razid, A., Kay, A. W., Denkinger, C. M., Schiller, I., Dendukuri, N., Jaganath, D., Lundh, A. & Shah, M. (2025). Parallel use of low-complexity automated nucleic acid amplification tests and lateral flow urine lipoarabinomannan assays to detect tuberculosis disease in adults and adolescents living with HIV. The Cochrane database of systematic reviews, vol. 6, p. CD016070.
  8. Salimian, S., Hawkins, N. M., Dendukuri, N., Mousavi, N. & Brophy, J. (2025). Predicting death or readmission following heart failure hospitalisation: the VancOuver CoastAL Acute Heart Failure (VOCAL-AHF) registry. Open heart, vol. 12.
  9. Stahlmann, K., Kellerhuis, B., Reitsma, J. B., Dendukuri, N. & Zapf, A. (2025). Comparison of methods to handle missing values in a continuous index test in a diagnostic accuracy study - a simulation study. BMC medical research methodology, vol. 25, p. 147.
  10. Kutcher, S. A., Dendukuri, N., Dandona, S., Nadeau, L. & Brophy, J. M. (2025). Ticagrelor Compared to Clopidogrel in Acute Coronary Syndromes trial (TC4): a Bayesian pragmatic cluster randomized controlled trial. CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne, vol. 197, p. E309-E318.
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