A. H. M. Mahbub Latif

Robustness considerations in selecting efficient two-color microarray designs

The main goal of microarray experiments is to select a small subset of genes that are differentially expressed among competing mRNA samples. For a given set of such mRNA samples, it is possible to consider a number of two-color cDNA microarray designs with a fixed number of arrays. Appropriate criteria can be used to select an efficient design from such a set of alternative experimental designs. In practice, however, microarray expression data often contain missing observations and the most efficient design (with complete observations) for a specific setup may not be efficient in the presence of missing observations. In this article, we propose two criteria to address the robustness of microarray designs against missing observations. We demonstrate the simultaneous use of efficiency and robustness criteria to select good microarray designs for both one-factor and multi-factor experiments.

Frailty modeling for clustered survival data: an application to birth interval in Bangladesh

The present work demonstrates an application of random effects model for analyzing birth intervals that are clustered into geographical regions. Observations from the same cluster are assumed to be correlated because usually they share certain unobserved characteristics between them. Ignoring the correlations among the observations may lead to incorrect standard errors of the estimates of parameters of interest. Beside making the comparisons between Coxs proportional hazards model and random effects model for analyzing geographically clustered time-to-event data, important demographic and socioeconomic factors that may affect the length of birth intervals of Bangladeshi women are also reported in this paper.

Relative bioavailability and pharmacokinetic properties of two different enteric formulations of esomeprazole in healthy bangladeshi male volunteers: An open-label, single-dose, randomized-sequence, two-way crossover study

BACKGROUND In Bangladesh, a number of generic oral formulations of esomeprazole are marketed. Study of the relative bioavailability of these generic formulations has yet to be conducted in a Bangladeshi population. OBJECTIVES The aims of this study were to assess the relative bioavailability and pharmacokinetic properties of 2 formulations (test and reference) of esomeprazole 40 mg. METHODS This open-label, randomized, 2-way crossover study was conducted in healthy Bangladeshi male subjects in compliance with the Declaration of Helsinki and International Conference on Harmonisation guidelines. Subjects were randomly assigned to receive the test formulation followed by the reference formulation or vice versa, as a single dose of esomeprazole 40 mg after a 12-hour overnight fast. A washout period of 1 week was maintained between treatments. Following oral administration, blood samples were collected at 0, 0.5, 0.75, 1, 1.25, 1.5, 1.75, 2, 2.25, 2.5, 2.75, 3, 3.5, 4, 5, 7, 9, and 12 hour(s) after dosing and analyzed for esomeprazole concentrations using a validated HPLC method. Pharmacokinetic parameters, including C(max), AUC(0-12), and AUC(0-infinity), were determined with a non-compartmental method. The formulations were to be considered bioequivalent if the natural log (ln)-transformed ratios of the pharmacokinetic parameters were within the predetermined bioequivalence range of 80% to 125%, according to the US Food and Drug Administration (FDA) requirement. The within- and between-group differences were examined using ANOVA. Tolerability was assessed by monitoring vital signs and conducting subject interviews regarding adverse events. Interviewers were not blinded to study design. RESULTS A total of 24 nonsmoking, healthy, Bangladeshi male subjects (mean [SD] age, 22.8 [2.22] years [range, 20-29 years]; weight, 64.7 [6.9] kg [range, 55-79 kg]; height, 1.69 [0.05] m [range, 1.63-1.82 m]; and body mass index, 22.39 [2.16] kg/m(2) [range, 18.99-27.34 kg/m(2)]) were enrolled. From serum data, the mean (SD) values for the test and reference products were as follows: 5.26 (1.57) and 5.54 (2.94) micromol/L for C(max); 2.53 (0.67) and 2.07 (0.65) hours for T(max); 15.74 (6.50) and 16.68 (6.77) micromol/L/h for AUC(0-12); and 17.15 (7.58) and 18.26 (7.31) micromol/L/h for AUC(0-infinity), respectively. The mean T(max) was found to be significantly different between the test and reference formulations (2.53 [0.67] vs 2.07 [0.65] hours, respectively; P < 0.05). The point estimates (90% CI) for the test/reference ratios of the In-transformed AUC(0-infinity) and C(max) were 92.92% (84.02%-102.76%) and 102.36% (85.96%-121.90%), respectively, which were within the FDA-accepted limits for assuming bioequivalence. No adverse events were reported by the volunteers during the study. CONCLUSION This single-dose study found that the test and reference formulations of esomeprazole 40 mg met the FDA regulatory criteria for assuming bioequivalence in these healthy, fasting Bangladeshi male volunteers. A significant difference was found in T(max) between the 2 formulations. Both formulations were well tolerated in the studied population.

A determinant-based criterion for working correlation structure selection in generalized estimating equations.

In generalized estimating equations (GEE), the correlation between the repeated observations on a subject is specified with a working correlation matrix. Correct specification of the working correlation structure ensures efficient estimators of the regression coefficients. Among the criteria used, in practice, for selecting working correlation structure, Rotnitzky-Jewell, Quasi Information Criterion (QIC) and Correlation Information Criterion (CIC) are based on the fact that if the assumed working correlation structure is correct then the model-based (naive) and the sandwich (robust) covariance estimators of the regression coefficient estimators should be close to each other. The sandwich covariance estimator, used in defining the Rotnitzky-Jewell, QIC and CIC criteria, is biased downward and has a larger variability than the corresponding model-based covariance estimator. Motivated by this fact, a new criterion is proposed in this paper based on the bias-corrected sandwich covariance estimator for selecting an appropriate working correlation structure in GEE. A comparison of the proposed and the competing criteria is shown using simulation studies with correlated binary responses. The results revealed that the proposed criterion generally performs better than the competing criteria. An example of selecting the appropriate working correlation structure has also been shown using the data from Madras Schizophrenia Study.

Urban-rural and sex differentials in tuberculosis mortality in Bangladesh: results from a population-based survey

To assess tuberculosis mortality in Bangladesh through a population‐based survey using a Verbal Autopsy tool.

Erratum to: Trend of determinants of birth interval dynamics in Bangladesh

Background: The distribution of birth intervals can be used to draw attention to important characteristics of dynamics of fertility process. The main objective of this paper is to examine the effects of socioeconomic, demographic and proximate determinants on the length of birth intervals of women of Bangladesh and also to see whether the effects are changed over the years. Methods: Birth intervals can be considered as correlated time-to-event data because two or more birth intervals could correspond to a single mother. Moreover, women from the same neighborhood usually share certain unobserved characteristics, which may also lead to correlated time-to-event data (birth interval). A parametric random effect (frailty) model is used to analyze correlated birth interval data obtained from three Bangladesh Demographic and Health Surveys (BDHS 2004, 2007, and 2011). Results: The results show that alongside different socioeconomic, demographic determinants, unobserved community and mother effects have considerable impact on birth interval in Bangladesh. However, the effects of different factors on birth interval changes in a small scale over the duration of 2004–2011. Conclusions: Efficient policy is a priority for promoting longer birth spacing and achieving a decline in fertility.

Forecasting Tropical Cyclones in Bangladesh: A Markov Renewal Approach

Bangladesh frequently suffers from tropical cyclones possibly due to its unique location. The funnel-shaped northern part of the Bay of Bengal causes tidal bores when cyclones make landfall. These tropical cyclones can be very devastating and can severely affect the coastline of Bangladesh. In this study we analyzed 135 tropical cyclones occurred in Bangladesh during 1877–2009 considering the physical characteristics of the storm surge process. For analyzing the storm surge process, a Markov renewal model that takes into account both the sojourn times and the transitions between different types of cyclones simultaneously was considered. Exponential distribution for the sojourn times was assumed to derive the probabilities of occurrence of different types of cyclones for various lengths of time intervals. Given the type of the last cyclone occurred probabilities of occurrence of the next cyclone are reported using the fitted Markov renewal model. The mean recurrence times of different type of cyclones were also calculated assuming ergodicity of the Markov renewal process.

A parametric Markov renewal model for predicting tropical cyclones in Bangladesh

In this paper, we consider a Markov renewal process (MRP) to model tropical cyclones occurred in Bangladesh during 1877–2009. The model takes into account both the occurrence history and some physical constraints to capture the main physical characteristics of the storm surge process. We assume that the sequence of cyclones constitutes a Markov chain, and sojourn times follow a Weibull distribution. The parameters of the Weibull MRP jointly with transition probabilities are estimated using the maximum likelihood method. The model shows a good fit with the real events, and probabilities of occurrence of different types of cyclones are calculated for various lengths of time interval using the model. Stationary probabilities and mean recurrence times are also calculated. A brief comparison with a Poisson model and a marked Poisson model has also been demonstrated.