My research is focused on statistical methods for epidemiological studies which deal with
studying factors; affecting the health and illness of populations, and serves as the foundation
and logic of interventions made in the interest of public health and preventive medicine.
The research is geared to develop novel statistical techniques for handling measurement
error in the major variable of interest, and to handle subjects with partially missing information.
The developed statistical techniques rely on parametric, semiparametric, and nonparametric
Bayesian or classical approaches for flexible and robust modeling.

Research interest keywords:
Bayesian methods, Errors-in-covariates, Missing data, and Survival analysis.


Sinha, S., Mukherjee, B., and Ghosh, M. (2004), Bayesian semiparametric modeling for
matched case-control studies with multiple disease states, Biometrics, 60, 41--49. [pdf]

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. [pdf] [code]

 Mukherjee, B., Sinha, S.,  and Ghosh, M. (2005), Bayesian
analysis for  case-control studies: A review article, Handbook of Statistics, 25. [pdf]

 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. [pdf] [code]

 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. [pdf]

Sinha, S. (2007), Bayesian methods for case-control studies: Annoted bibliography,
 ISBA Bulletin, 16, 5-8. Complete bulletin.

 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. [pdf]

Sinha, S. and Maiti, T. (2007), Analysis of matched
case-control data in presence of nonignorable missing data,
Biometrics. [pdf] [codes 1, 2]

Sinha, S., Mukherjee, B., and Ghosh, M.
(2007),  Modelling Association Among Bivariate Exposures In
Matched Case-Control Studies, Sankhya, 69, 379--404. [pdf]

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. [pdf] .  [codes: 1,   2,   3]

Sinha, S., and Wang, S. (2009). A new semiparametric procedure for matched case-control
studies with missing covariates.  Journal of Nonparametric Statistics. [pdf]

Sun, J., Sinha, S., Wang, S., and Maiti, T. Bias corrected inference for the conditional
logistic regression. To appear in Statistics in Medicine. [pdf] Computer codes for bias corrected estimator. Readme.txt, R-code.

Sinha, S., Mallick, B. K., Kipnis, V., and Carroll, R. J.  Semiparametric Bayesian
analysis of nutritional epidemiology data in the presence of measurement
error. Readme.txt, R-code, Fortran-subroutineAppeared in Biometrics. [pdf]

Chatterjee, N., Sinha, S., Diver, W. R., Feigelson, H. S. Analysis of cohort studies with multivariate,
partially observed disease classification data. To appear in Biometrika. [pdf] [supplementary material]
Here is the computer code. Readme.txt, File1, File2
Windows binary:

Osterstock, J., Sinha, S., Seabury, C.M., and Cohen, N. D. (2010). Effects of classifying disease states
 in genetic association studies for paratuborculosis. To appear in Preventive Veterinary Medicine. [pdf]

Sinha, S. (2010). An estimated-score approach for dealing with missing covariate data in matched
 case-control studies. The Canadian Journal of Statistics, 38, No 2.[pdf]

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. [pdf]

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. [pdf]

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. [pdf]

Sinha, S. (2012). A functional method for conditional logistic regression
with errors-in-covariates. To appear in Journal of the Nonparametric Statistics. [pdf]

Sinha, S. and Yoo, S. (2012). Score tests in the presence of errors in covariates in matched
case-control studies. Accepted to Journal of Multivariate Analysis. [pdf]

Maiti, T., Ren, H., and Sinha, S. Prediction error of small area predictors with shrinking both
means and variances. To appear in the Scandinavian Journal of Statistics. [pdf], [Supplementary Materials]

Sinha, S. and Ma, Y. Semiparametric analysis of linear transformation models with covariate
measurement errors. To appear in Biometrics. [pdf], [Supplementary Materials]
Package Source: mesub_1.0.tar.gz
Windows binary:
Reference Manual: manual_mesub.pdf

Sinha, S., Saha, S. K., and Wang, S. Semiparametric approach for non-monotone missing covariates
in a parametric regression model. To appear in Biometrics. [pdf], [Supplementary Materials]

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. J Biomet Biostat. [pdf]

Sinha, S. and Wang, S. Semiparametric Bayesian analysis of censored linear regression with
errors-in-covariates. Accepted in the Statistical Methods in Medical Research. [pdf]
Package Source: smmrbayes_1.0.tar.gz
Reference Manual: SMMR_description_of_package.pdf

Sinha, S. and Ma, Y. Analysis of proportional odds models with censoring and errors-in-covariates.
Accepted in the Journal of the American Statistical Association. [pdf] [Supplementary materials] [published version]

Maiti, T., Sinha, S. and Zhong, P-S. Functional mixed effects model for small area estimation.
Accepted in the Scandinavian Journal of Statistics. [pdf] [Supplementary materials]

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. Accepted in the Statistical Methods in Medical Research. [pdf], [Supplementary Materials],
[Matlab code in a zip file], Matlab code as html files: [example.html], [AFT_Bayes_LASSO.html].

Lee, D., Carroll, R. J., and Sinha, S. Frequentist standard errors of Bayes estimators.
Accepted in Computational Statistics. [pdf], [R code in a zip file].

Cook, S., Blas, B., Carroll, R. J., and Sinha, S. Two wrongs make a right: Addressing underreporting in binary
data from multiple sources. Accepted in the Political Analysis. [pdf]
R package: [Linux], [Windows], [Reference manual]

Curriculum Vitae

Some Useful Links:
A very short note on B-spline

Two related files for B-spline: file 1  and   file 2

Online SAS help

Current Index of Statistics

Statistical Science Web-- Datasets

Kent Ridge Bio-Medical Dataset Repository

Few other data sources: 1,  2345,    6

Clinical Proteomics Program

List of master's degree programs in data science