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- Dimitris Rizopoulos, Pulak Ghosh
- Statistics in medicine
- 2011

Motivated by a real data example on renal graft failure, we propose a new semiparametric multivariate joint model that relates multiple longitudinal outcomes to a time-to-event. To allow for greater flexibility, key components of the model are modelled nonparametrically. In particular, for the subject-specific longitudinal evolutions we use a spline-based… (More)

Linear mixed model with normally distributed response are routinely used in longitudinal data. However, the accuracy of the assumed normal distribution is crucial for valid inference of the parameters. In this article we present a new class of asymmetric linear mixed models that provides an efficient estimation of the parameters in the analysis of… (More)

- Rodrigo M. Basso, Victor H. Lachos, Celso Rômulo Barbosa Cabral, Pulak Ghosh
- Computational Statistics & Data Analysis
- 2010

Modelling covariance structure in the analysis of repeated measures data, Statist. Med. A new class of multivariate skew distributions with applications to Bayesian regression models, The Canadion Journal of Analysis for the Student-t regression model.

- Brian H. Neelon, Pulak Ghosh, Patrick F Loebs
- Journal of the Royal Statistical Society. Series…
- 2013

We develop a spatial Poisson hurdle model to explore geographic variation in emergency department (ED) visits while accounting for zero inflation. The model consists of two components: a Bernoulli component that models the probability of any ED use (i.e., at least one ED visit per year), and a truncated Poisson component that models the number of ED visits… (More)

- Pulak Ghosh, Mithat Gönen
- Statistics in medicine
- 2008

Bioequivalence trials are usually conducted to compare two or more formulations of a drug. Simultaneous assessment of bioequivalence on multiple endpoints is called multivariate bioequivalence. Despite the fact that some tests for multivariate bioequivalence are suggested, current practice usually involves univariate bioequivalence assessments ignoring the… (More)

- Pulak Ghosh, Márcia D. Branco, Hrishikesh Chakraborty
- Statistics in medicine
- 2007

Correlated data arise in a longitudinal studies from epidemiological and clinical research. Random effects models are commonly used to model correlated data. Mostly in the longitudinal data setting we assume that the random effects and within subject errors are normally distributed. However, the normality assumption may not always give robust results,… (More)

- Pulak Ghosh, Farouk S. Nathoo, Mithat Gönen, Ram C. Tiwari
- Statistics in medicine
- 2011

Non-inferiority trials, which aim to demonstrate that a test product is not worse than a competitor by more than a pre-specified small amount, are of great importance to the pharmaceutical community. As a result, methodology for designing and analyzing such trials is required, and developing new methods for such analysis is an important area of statistical… (More)

- Mark Amper Gamalo, Saman Muthukumarana, Pulak Ghosh, Ram C. Tiwari
- Statistical methods in medical research
- 2013

The existing generalized p-value approach, from statistical literature, is applied to assess noninferiority of an experimental treatment in a three-arm clinical trial including a placebo. Two generalized test functions (GTFs) are constructed and Monte Carlo simulations are used to compute the p-value. The GTFs perform well in terms of maintaining the Type-I… (More)

- María Concepción Ausín, Pedro Galeano, Pulak Ghosh
- European Journal of Operational Research
- 2014

Financial time series analysis deals with the understanding of data collected on financial markets. Several parametric distribution models have been entertained for describing, estimating and predicting the dynamics of financial time series. Alternatively, this article considers a Bayesian semiparametric approach. In particular, the usual parametric… (More)

- Pulak Ghosh, Florin Vaida
- Statistics in medicine
- 2007

We propose a changepoint model for the analysis of longitudinal CD4 T-cell counts for HIV infected subjects following highly active antiretroviral treatment. The profile of CD4 counts for each subject follows a simple, 'broken stick' changepoint model, with random subject-specific parameters, including the changepoint. The model accounts for baseline… (More)