Browsing Journal Articles by Author "Banerjee, Tathagata"
Now showing items 1-20 of 21
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Analysis of misclassified correlated binary data using a multivariate probit model when covariates are subjected to measurement error
Roy, Surupa; Banerjee, Tathagata (2009-04-15)A multivariate probit model for correlated binary responses given the predictors of interest has been considered. Some of the responses are subject to classification errors and hence are not directly observable. Also ... -
Analysis of mixed outcomes: misclassified binary responses and measurement error in covariates
Roy, Surupa; Banerjee, Tathagata (2009-04-15)This paper considers regression models for mixed binary and continuous outcomes, when the true predictor is measured with error and the binary responses are subject to classification errors. The focus of the paper is to ... -
Analysis of Mixed Outcomes: misclassified binary responses and mesaurement error in covarities
Chakraborty, Surupa; Banerjee, Tathagata (2012-09-06)This paper considers regression models for mixed binary and continuous outcomes, when the true predictor is measured with error and the binary responses are subject to classification errors. The focus of the paper is to ... -
Berkson model for binary regression with responses subject to classification errors
Banerjee, Tathagata; Roy, Surupa (2005-10-27) -
Binomial confidence intervals for testing non-inferiority or superiority: a practitioner’s dilemma
Pradhan, Vivek; Evans, John C.; Banerjee, Tathagata (Statistical Methods In Medical Research, 2013)In testing for non-inferiority or superiority in a single arm study, the confidence interval of a single binomial proportion is frequently used. A number of such intervals are proposed in the literature and implemented in ... -
Classification of pathological stages of prostate cancer using penalized splines
Banerjee, Tathagata; Maiti, Tapabrata; Mukhopadhyay, Pushpal (2010-10-29)We propose a penalized splines (P-splines) based method to predict the pathological stage of localized prostate cancer. A combination of prostate-specific antigen, Gleason histological score, and clinical stage from a ... -
Confidence interval of two independent binomial proportions using weighted profile likelihood
Pradhan, Vivek; Banerjee, Tathagata (Communications in Statistics - Simulation and Computation, 2008-11-11)Interval estimation of the difference of two independent binomial proportions is an important problem in many applied settings. Newcombe (1998) compared the performance of several existing asymptotic methods, and based on ... -
Estimation of log‐odds ratio from group testing data using firth correction
Roy, Surupa; Banerjee, Tathagata (Wiley, 2019-01-15)We consider the estimation of the prevalence of a rare disease, and the log‐odds ratio for two specified groups of individuals from group testing data. For a low‐prevalence disease, the maximum likelihood estimate of the ... -
Finite population distribution function estimation using P-Splines
Adhya, Sumanta; Banerjee, Tathagata; Chattopadhyay, Gaurangadeb (Calcutta Statistical Association Bulletin, 2014-09)Estimating finite population distribution function (hereafter FPDF) is an important problem to the survey samplers since it summarizes almost all the relevant information of interest about the finite population. Chambers ... -
Fisher information matrix of the Dirichlet-multinomial distribution
Banerjee, Tathagata; Paul, Sudhir; Balsuriya, Uditha (2005-10-26)In this paper we derive explicit expressions for the elements of the exact Fisher information matrix of the Dirichlet-multinomial distribution. We show that exact calculation is based on the beta-binomial probability ... -
A flexible model for generalized linear regression with measurement error
Banerjee, Tathagata; Roy, Surupa (2006-10-27)This paper focuses on the question of specification of measurement error distribution and the distribution of true predictors in generalized linear models when the predictors are subject to measurement errors. The standard ... -
Hypothese on the effect of cadmium on glutathione content of red blood corpuscles
Banerjee, Tathagata; Shekhar, N.; Biswas, A. (2006-10-27)Previous studies have shown that Glutathione, a tripeptide found in blood, is involved in protecting against toxins. Glutathione levels are known to drop in response to cadmium. Using 15 twin pairs, we modeled the ... -
Identifying cross-reactive pollen allergens: an empirical approach
Banerjee, Tathagata; Bhattacharya, S.; Roy, I.; Chatterjee, S. (2005-10-26) -
Increased mortality rate associated with chikungunya epidemic, Ahmedabad, India
Mavalankar, Dileep; Shastri, P.; Banerjee, Tathagata; Parmar, J.; Ramani, K. V. (Emerging Infectious Diseases, 2008-11-10)In 2005–2006, Reunion Island in the Indian Ocean reported ≈266,000 cases of chikungunya; 254 were fatal (case-fatality rate 1/1,000). India reported 1.39 million cases of chikungunya fever in 2006 with no attributable ... -
Measurement error in astronomy
Banerjee, Tathagata; Roy, Surupa (Wiley Stats Ref: Statistics Reference Online, 2017)Measurement error is ubiquitous in astronomy. In the astronomical literature, discussion on measurement error problems is almost entirely confined to linear regression. We introduce a linear regression measurement error ... -
The multi-clump finite mixture distribution and model selection
Paul, Sudhir; Banerjee, Tathagata; Balasoorya, Uditha (2010-09-08)In practical data analysis, often an important problem is to determine the number of clumps in discrete data in the form of proportions. This can be done through model selection in a multi-clump finite mixture model. In ... -
Optimal factorial designs for cDNA microarray experiments
Banerjee, Tathagata; Mukherjee, R. (Annals of Applied Statistics, 2008-11-09)We consider cDNA microarray experiments when the cell populations have a factorial structure, and investigate the problem of their optimal designing under a baseline parametrization where the objects of interest differ ... -
Paired sample tests with unordered observations
Bandyopadhyay, K.; Chattopadhyay, G.; Banerjee, Tathagata (2009-04-15)The problem of testing equality of means of a bivariate normal distribution on the basis of a sample of size n has been considered when the labels of the observations are not known. Two tests based on the sample moments ... -
Theoretical comparisons of estimators of finite population proportion under simple random sampling
Adhya, Sumanta; Banerjee, Tathagata (Society of Statistics, Computer and Applications, 2019)We consider the classical survey problem of estimation of finite population proportions based on a polychotomous response variable when data on an auxiliary variable is known for all units in the finite population. Under ... -
Two-stage test of means of unordered pairs
Banerjee, Tathagata; Chattopadhyay, Gaurangadeb; Banerjee, Kaustav (John Wiley & Sons, Ltd., 2017-04-16)has been considered when the labels of the observations are either missing or not known. The problem may arise in many applied settings, especially in genetics. Classical likelihood ratio test fails here because of ...