Samiran Sinha

Samiran Sinha

Lifelong learner and statistician by training

Publications

Peer reviewed journal publications

  1. Yi, Z., Strigari, L. E., Jin, L. and Sinha, S. Prospects for measuring the time variation of astrophysical neutrino sources at dark matter detectors. Physical Review D. Article link
  2. Chattopadhyay, A., Hoh, D., Kramer, D. M., Maiti, T. and Sinha, S. CMPLE: Correlation modelling to decode Photosynthesis using the Minorize-Maximize algorithm. Journal of Agricultural, Biological and Environmental Statistics. Article, Supplementary materials, R package
  3. Yi, Z., Strigari, L. E., Jin, L. and Sinha, S. Detection of astrophysical neutrinos at prospective locations of dark matter detectors. Physical Review D. Article.
  4. Huang, W., Page, R. L., Morris, T., Ayres, S., Ferdinand, A. O. and Sinha, S. Maternal exposure to SSRIs or SNRIs and the risk of congenital abnormalities in offspring: A systematic review and meta-analysis. PLoS ONE. Article. Here you may find the related data and code.
  5. Nault, R., Saha, S., Bhattacharya, S., Sinha, S., Maiti, T., and Zacharewski, T. Single cell transcriptomics shows dose-dependent disruption of hepatic zonation by TCDD in mice. Toxicological Sciences. Article.
  6. Rivera-Velez, A., Huber, L., Sinha, S. and Cohen, N. D. (2022). Fitness cost conferred by the novel erm(51) and rpoB mutation on environmental multidrug resistant-Rhodococcus equi. Veterinary Microbiology. Article, Supplementary material
  7. Wang, T., He, K., Ma, W., Bandyopadhyay, D. and Sinha, S. Minorize-maximize algorithm for the generalized odds rate model for clustered current status data. Canadian Journal of Statistics. Article, Supplementary materials, R package MMGOR, package manual
  8. Nault, R., Saha, S., Bhattacharya, S., Dodson, J., Sinha, S., Maiti, T. and Zacharewski, T. Benchmarking of a Bayesian single cell RNAseq differential gene expression test for dose-response study designs. To appear in the journal of Nucleic Acids Research. scBT (code for the proposed Bayesian hypothesis testing method), spattdr(simulation code)
  9. Manuel, C., Sinha, S. and Wang, S. Reduction of bias due to misclassified exposures using instrumental variables. Canadian Journal of Statistics. Supplementary materials R script for methods M1 and M2. The code for the proposed method, M3 using the variational inference is R package and its manual.
  10. Hu, L., Mandal, S. and Sinha, S. A comparative study of two-sample tests for interval-censored data. Journal of Statistical Computation and Simulation. Article
  11. Karmakar, M., Lai, P-C., Sinha, S., Glaser, S. and Chakraborty, S. Identification of miR-203a, mir-10a, and miR-194 as predictors for risk of lymphovascular invasion in head and neck cancers. Oncotarget. Article
  12. Dutta, B., Lang, R.F., Liao, S., Sinha, S., Strigari, L. and Thompson, A. A global analysis strategy to resolve neutrino NSI degeneracies with scattering and oscillation data. Jouranl of High Energy Physics. Article
  13. Singh, S., Venkatasamy, L., White, T., Sinha, S., Glaser, S., Safe, SS., and Chakraborty, S. CXCL11/CXCR3 mediates tumor lymphatic crosstalk and inflammation induced tumor promoting mechanisms in head and neck cancers. American Journal of Pathology. Article
  14. Lee, D., Lahiri, S. N. and Sinha, S. A test of homogeneity of distributions when observations are subject to measurement errors. Biometrics. Article, Supplementary materials, R package MEtest, This file contains illustrative examples on how to use the package for different scenarios.
  15. Dutta, B., Liao, S., Sinha, S. and Strigari, LE. Searching for Beyond the Standard Model Physics with COHERENT energy and timing data. Physical Review Letters. Article
  16. Manuel, C. M., Sinha, S. and Wang, S. Matched case-control data with a misclassified exposure: What can be done with instrumental variables? Biostatistics. Supplementary materials Code at Github, R package mccmeiv from CRAN
  17. Lee, D. and Sinha, S. Identifiability and bias reduction in the skewprobit model for a binary response. Journal of Statistical Computation and Simulation. Supplementary materials, R package SPreg from CRAN
  18. Wei, Y., Ma, Y., Garcia, T. P., and Sinha, S. Consistent estimator for logistic mixed effect models. Canadian Journal of Statistics. Article, Supplementary materials
  19. Mandal, S., Wang, S., and Sinha, S. Analysis of linear transformation models with covariate measurement error and interval censoring. Statistics in Medicine. Article, Supplementary materials, R package icemelt from CRAN, This file contains illustrative examples on how to use the package for different scenarios.
  20. Cook, S., Blas, B., Carroll, R. J., and Sinha, S. Two wrongs make a right: Addressing underreporting in binary data from multiple sources. Political Analysis. R package for Linux, R package for Windows, Reference manual
  21. Lee, D., Carroll, R. J., and Sinha, S. Frequentist standard errors of Bayes estimators. Computational Statistics. Article, R script
  22. Zhang, Z., Sinha, S., Maiti, T., and Shipp, E. Bayesian variable selection in the AFT model with an application to the SEER breast cancer data. Statistical Methods in Medical Research, 27, 971-990. Article, Supplementary materials, Matlab code, and related files example.html, AFT Bayes LASSO This file contains illustrative examples on how to use a number of variable selection techniques with the objects generated from the survival package, while the generalized F distribution is considered in this file.
  23. Maiti, T., Sinha, S. and Zhong, P-S. (2016). Functional mixed effects model for small area estimation. Scandinavian Journal of Statistics, 43, 886-903. Article, Supplementary materials
  24. Sinha, S. and Ma, Y. Analysis of proportional odds models with censoring and errors-in-covariates. Journal of the American Statistical Association. 111, 1301–1312. Article, Supplementary materials
  25. Sinha, S. and Wang, S. Semiparametric Bayesian analysis of censored linear regression with errors-in-covariates. Statistical Methods in Medical Research, 26, 1389–1415. Article, R package, Reference manual
  26. Miao, J., Sinha, S., Wang, S., Diver, RW. and Gapstur, S. M. Analysis of multivariate disease classification data in the presence of partially missing disease traits. Journal of Biometrics and Biostatistics. Article
  27. Sinha, S., Saha, S. K., and Wang, S. (2014). Semiparametric approach for non-monotone missing covariates in a parametric regression model. Biometrics, 70, 299-311. Article, Supplementary materials
  28. Sinha, S. and Ma, Y. (2014). Semiparametric analysis of linear transformation models with covariate measurement errors. Biometrics. Article, Supplementary materials, Source code for the R package, Windows binary for the R package, Reference manual
  29. Maiti, T., Ren, H., and Sinha, S. Prediction error of small area predictors with shrinking both means and variances. Scandinavian Journal of Statistics. Supplementary materials
  30. Sinha, S. and Yoo, S. (2012). Score tests in the presence of errors in covariates in matched case-control studies. Journal of Multivariate Analysis.
  31. Sinha, S. (2012). A functional method for conditional logistic regression with errors-in-covariates. Journal of the Nonparametric Statistics.
  32. Dass, S. C., Maiti, T., Ren, H., and Sinha, S. (2012). Confidence interval estimation of small area parameters shrinking both means and variances. Survey Methodology.
  33. Kuskie, K. R., Smith, J. L., Sinha, S., Carter, C. N., Chaffin, M. K., Slovis, N. M., Brown, S. E., Stepusin, R. S., Takai, S., Cohen, N. D. (2011). Associations between the exposure to airborne virulent rhodococcus equi and the incidence of R equi pneumonia among individual foals. Journal of Equine Veterinary Science.
  34. Ahn, J., Mukherjee, B., Gruber, S. B., and Sinha, S. (2011). Missing exposure data in stereotype regression model: application to matched case-control study with disease subclassification. Biometrics.
  35. Sinha, S. (2010). An estimated-score approach for dealing with missing covariate data in matched case-control studies. Canadian Journal of Statistics, 38, No 2.
  36. Osterstock, J., Sinha, S., Seabury, C.M., and Cohen, N. D. (2010). Effects of classifying disease states in genetic association studies for paratuborculosis. Preventive Veterinary Medicine.
  37. Chatterjee, N., Sinha, S., Diver, W. R., Feigelson, H. S. Analysis of cohort studies with multivariate, partially observed disease classification data. Biometrika. Here is the computer code Readme, R script, Fortran subroutine.
  38. Sinha, S., Mallick, B. K., Kipnis, V., and Carroll, R. J. Semiparametric Bayesian analysis of nutritional epidemiology data in the presence of measurement error. Biometrics. Here is the code: Readme, R script, Fortran subroutine.
  39. Sun, J., Sinha, S., Wang, S., and Maiti, T. Bias corrected inference for the conditional logistic regression. Statistics in Medicine. Here is the code for bias corrected estimator, Readme, R script.
  40. Sinha, S., and Wang, S. (2009). A new semiparametric procedure for matched case-control studies with missing covariates. Journal of Nonparametric Statistics.
  41. Sinha, S., Gruber, S. B., Mukherjee, B., and Rennert, G. (2008). Inference of haplotype effects in matched case-control studies using unphased genotype data. International Journal of Biostatistics, 4, Issue 1, Article 6. Here is the code Readme, R script, Fortran subroutines.
  42. Sinha, S., Mukherjee, B., and Ghosh, M. (2007), Modelling association among bivariate exposures in matched case-control studies. Sankhya, 69, 379–404.
  43. Sinha, S. and Maiti, T. (2007). Analysis of matched case-control data in presence of nonignorable missing data. Biometrics. Here is the code R script and Fortran subroutines.
  44. Mukherjee, B., Liu, I., and Sinha, S. (2007), Analyzing matched case-control data with multiple ordered disease states, possible choices, and comparisons. Statistics in Medicine.
  45. Mukherjee, B., Zhang, L., Ghosh, M., and Sinha, S. (2007). Semiparameteric Bayesian analysis of case-control data under gene-environment independence and population stratification. Biometrics.
  46. Sinha, S., and Mukherjee, B. (2006). A score test for determining sample size in matched case-control studies with categorical exposure. Biometrical Journal, 48, 35--53. Here is the R script.
  47. Sinha, S., Mukherjee, B., Ghosh, M., Mallick, B. K., Carroll, R. J. (2005). Semiparametric Bayesian analysis of matched case-control studies with missing exposure. Journal of the American Statistical Association, 100, 591--601. Here is the code.
  48. Sinha, S., Mukherjee, B., and Ghosh, M. (2004). Bayesian semiparametric modeling for matched case-control studies with multiple disease states. Biometrics, 60, 41–49.

Book Chapters

  1. Wang, T., Bandyopadhyay, D. and Sinha, S. Efficient estimation of the additive risks model for interval-censored data. To appear as a book chapter in an edited volume on interval-censored data (Editors: Jianguo Sun and Ding-Geng Chen). Article, R package
  2. Sinha, S. (2021). Bayesian approaches for handling covariate measurement error. Handbook of Measurement Error Models Edited by Grace Yi, Aurore Delaigle and Paul Gustafson (Chapman & Hall/CRC Press), eBook ISBN 9781315101279.
  3. Sinha, S. (2007), Bayesian methods for case-control studies: Annotated bibliography. ISBA Bulletin, 16, 5-8. Complete bulletin. Article
  4. Mukherjee, B., Sinha, S., and Ghosh, M. (2005). Bayesian analysis for case-control studies. Handbook of Statistics, 25, 793--819. Article