Krishna K. Saha

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Testing the homogeneity of the means of several groups of count data in the presence of unequal dispersions

Roger Bilisoly, Krishna K. Saha, Roger Bilisoly, 2009, Comput. Stat. Data Anal..

The generalized linear model and extensions: a review and some biological and environmental applications

Sudhir R. Paul, Krishna K. Saha, S. Paul, 2007 .

Bias-corrected maximum likelihood estimator of the negative binomial dispersion parameter.

Sudhir Paul, Krishna K. Saha, S. Paul, 2005, Biometrics.

Incorporating a Machine Learning Model into a Web-Based Administrative Decision Support Tool for Predicting Workplace Absenteeism

Krishna K. Saha, Saptarshi Sengupta, Srikanth Prabhu, 2022, Information.

The impact of clustering binary data on relative risk towards a study of inferential methods

Krishna K. Saha, Suojin Wang, Gopal Nath, 2022, 2207.01552.

Profile likelihood‐based confidence interval of the intraclass correlation for binary outcome data sampled from clusters

Krishna K. Saha, 2012, Statistics in medicine.

An alternative Wald type test for two linear restrictions with applications to non-linear models

Krishna K. Saha, M. King, 2008 .

Hybrid-based confidence intervals for the ratio of two treatment means in the over-dispersed Poisson data

Krishna K. Saha, Roger Bilisoly, D. Dziuda, 2014 .

Estimating the Treatment Effect in the Analysis of Extra-Dispersed Count Response Data from Clinical Trials

Krishna K Saha, Krishna K. Saha, 2013 .

Interval estimation of the mean difference in the analysis of over‐dispersed count data

Krishna K. Saha, 2013, Biometrical journal. Biometrische Zeitschrift.

A Comparison of Some Approximate Confidence Intervals for a Single Proportion for Clustered Binary Outcome Data

Krishna K. Saha, Suojin Wang, Daniel Miller, 2016, The international journal of biostatistics.

An empirical investigation of different operating characteristics of several estimators of the intraclass correlation in the analysis of binary data

Krishna K. Saha, S. Paul, U. Balasooriya, 2003 .

Quel Test for Two Linear Restrictions in the Nonlinear Models

Krishna K. Saha, 2009 .

Confidence intervals for the difference in the success rates of two treatments in the analysis of correlated binary responses

Krishna K. Saha, Suojin Wang, 2019, Biometrical journal. Biometrische Zeitschrift.

Analysis of proportions for clustered binary data in the presence of unequal dispersions

Krishna K. Saha, 2011 .

Profile likelihood-based confidence interval for the dispersion parameter in count data

Krishna K. Saha, Debaraj Sen, Chun Jin, 2012 .

Interval estimation of the over‐dispersion parameter in the analysis of one‐way layout of count data

Krishna K. Saha, 2011, Statistics in medicine.

Semiparametric estimation for the dispersion parameter in the analysis of over- or underdispersed count data

Krishna K. Saha, 2008 .

Weighted profile likelihood‐based confidence interval for the difference between two proportions with paired binomial data

J. C. Evans, Krishna K. Saha, T. Banerjee, 2014, Statistics in medicine.

Semiparametric approach for non‐monotone missing covariates in a parametric regression model

Samiran Sinha, Suojin Wang, Krishna K Saha, 2014, Biometrics.

Integration of a machine learning model into a decision support tool to predict absenteeism at work of prospective employees

Krishna K. Saha, A. Harfouche, Saptarshi Sengupta, 2022, ArXiv.

Inference concerning a common dispersion of several treatment groups in the analysis of over/underdispersed count data

Krishna K. Saha, 2014, Biometrical journal. Biometrische Zeitschrift.

On the Distribution of the Extremes of Unequally Correlated Normal Variables with Applications to Antedependent Cluster Data

Krishna K. Saha, B. Sutradhar, 1999 .

Bias‐corrected maximum likelihood estimator of the intraclass correlation parameter for binary data

Krishna K. Saha, S. Paul, 2005, Statistics in medicine.