Scientific Research Articles
[* indicates joint first authorship]
A. Statistics – Theory & Methods
1
Yao*, W., Nandy*, D., Lindsay, B. G., and Chiaromonte, F. (2019). Covariate Information Matrix for Sufficient Dimension Reduction, JASA, 114(528), 1752-64 (DOI: https://doi.org/10.1080/01621459.2018.1515080)
2
Nandy, D., Chiaromonte, F., and Li, R. (2021). Covariate Information Number for Feature Screening in Ultrahigh-Dimensional Supervised Problems, To appear in JASA
(DOI:https://doi.org/10.1080/01621459.2020.1864380)
3
Nandy, D., Ghosh, D., and Kechris, K. (In preparation)
Distance correlation enhances the performance of several eigen-analysis based multiple-testing correction methods
4
Nandy, D. and Chiaromonte, F. (In preparation)
A data-driven diagnostic for active set thresholding in ultrahigh-dimensional feature screening
5
Dekermanjian, J.P., Shaddox, E., Nandy, D. et al. (2022)
Mechanism-aware imputation: a two-step approach in handling missing values in metabolomics. BMC Bioinformatics 23, 179 (2022). https://doi.org/10.1186/s12859-022-04659-1
6
Nandy D, Ghosh D, Kechris K. (2025)
DisCo P-ad: Distance-Correlation-Based p-Value Adjustment Enhances Multiple Testing Corrections for Metabolomics. Metabolites. 2025 Jan 8;15(1):28. doi: 10.3390/metabo15010028. PMID: 39852371; PMCID: PMC11767189.
B. Applied Statistics Scientific Collaborations
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Nandy*, D., Craig*, S. J. C., Cai, J., Tian, Y., Paul, I. M., Savage, J. S., Marini, M. E., Hohman, E. E., Reimherr, M., Patterson, A. D., Makova, K. D., and Chiaromonte, F. (2021)
Metabolomic profiling of stool of two-year old children from the INSIGHT Study reveals links between butyrate and child growth at age 2 years, Pediatric Obesity, 17(1); DOI: http://doi.org/10.1111/ijpo.12833
2
Nandy D, Yang X, Jin Xet al. F1000Research2022,11:759 (https://doi.org/10.12688/f1000research.117334.1)
MRI data harmonization across sites using ComBat enhances classification of meningioma and glioma brain-tumors in dogs: a case study [version 1; peer review: 2 approved with reservations]
3
Konigsberg, I. R., Barnes, B., Campbell, M., Davidson, E., Zhen, Y., Pallisard, O., Boorgula, M., Cox, C., Nandy, D., Seal, S., Crooks, K., Sticca, E., Harrison, G. F., Hopkinson, A., Vest, A., Arnold, C. G., Kahn, M. G., Kao, D. P., Peterson, B. R., Wicks, S., Ghosh, D., Horvath, S., Zhou, W., Mathias, R. A., Norman, P. J., Porecha, R., Yang, I. V., Gignoux, C. R., Monte, A. A., Taye, A., and Barnes, K. C. (2021), Nature communications medicine, 1(42); DOI: https://doi.org/10.1038/s43856-021-00042-y
Host methylation predicts SARS-CoV-2 infection and clinical outcome (Submitted)
4
Frank, B.S., Nandy, D., Khailova, L. et al. (2023)
Circulating biomarkers of extracellular matrix dysregulation are associated with adverse post-stage 2 outcomes in infants with single ventricle heart disease. Sci Rep 13, 16318 (2023). https://doi.org/10.1038/s41598-023-43562-4
5
Nandy D, Yang X, Jin Xet al. F1000Research2022,11:759 (https://doi.org/10.12688/f1000research.117334.1)
MRI data harmonization across sites using ComBat enhances classification of meningioma and glioma brain-tumors in dogs: a case study [version 1; peer review: 2 approved with reservations]
C. Scientific Technical Reports
1
Nandy, D. and Dunning, A. J. (2015)
Alternative Method for Vaccine Efficacy Curve, Sanofi Pasteur Clinical Biostatistics Technical Report