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Research
Latest papers
Significance tests for analyzing gene expression data with small sample sizes.
Bioinformatics (Oxford, England) · 2019
Estimation for zero-inflated beta-binomial regression model with missing response data.
Statistics in medicine · 2018 · senior author
Estimation for zero-inflated over-dispersed count data model with missing response.
Statistics in medicine · 2016 · senior author
Latest funding
- $28,000
Analysis of discrete/Survival data, longitudinal or otherwise, with over-dispersion, zero-inflation, missing response, missing covariate information, covariate measurement errors and bias correction
NSERC · 2024 · Principal investigator
- $108,000
Discrete and/or Longitudinal Data (small/big) analysis and The Behrens-Fisher problem
NSERC · 2018 · Principal investigator
- $95,000
GLM, GLMM, GEE for Correlated Discrete Data with Over-dispersion, Zero-inflation, Measurement Error and Misspecification
NSERC · 2013 · Principal investigator
4 publications.
Significance tests for analyzing gene expression data with small sample sizes.
Ullah I, Paul S, Hong Z, Wang YG
Estimation for zero-inflated beta-binomial regression model with missing response data.
Luo R, Paul S
Estimation for zero-inflated over-dispersed count data model with missing response.
Mian R, Paul S
Bias-corrected maximum likelihood estimator of the negative binomial dispersion parameter.
Saha K, Paul S
Analysis of discrete/Survival data, longitudinal or otherwise, with over-dispersion, zero-inflation, missing response, missing covariate information, covariate measurement errors and bias correction
Principal investigators: Paul, Sudhir
Keywords: discrete data (count/proportion); survival data; longitudinal data; over-dispersion; zero-inflation; missing data; covariate information; covariate measurement error; bias correction; regression model
Discrete and/or Longitudinal Data (small/big) analysis and The Behrens-Fisher problem
Principal investigators: Paul, Sudhir
GLM, GLMM, GEE for Correlated Discrete Data with Over-dispersion, Zero-inflation, Measurement Error and Misspecification
Principal investigators: Paul, Sudhir
Generalized linear models with zero-inflation and/or ever-dispersion with covariate measurement errors, methods for longitudinal and clustered data and finite mixture models
Principal investigators: Paul, Sudhir
Inference in generalized linear models with over-dispersion, zero-inflation, missing values and measurement errors
Principal investigators: Paul, SudhirRanjan
Computer lab consisting of eight servers and two printers
Principal investigators: Paul, SudhirRanjan
Inference for count data, proportions, contingency tables and generalized linear models with over/under dispersion, familial and clustered correlated data
Principal investigators: Paul, SudhirRanjan
Word station, printer, backup tapes, IMSL libraries
Principal investigators: Paul, SudhirRanjan
Discrete models with over-under dispersion, correlated familial and survey data and associated problems of outliers, diagnostics and measurement error
Principal investigators: Paul, SudhirRanjan
Computer work station
Principal investigators: Paul, SudhirRanjan
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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