The generalized transmuted-G family of distributions

We introduce a new class of continuous distributions called the generalized transmuted-G family which extends the transmuted-G class. We provide six special models of the new family. Some of its mathematical properties including explicit expressions for the ordinary and incomplete moments, generating function, Rényi and Shannon entropies, order statistics and probability weighted moments are derived. The estimation of the model parameters is performed by maximum likelihood. The flexibility of the proposed family is illustrated by means of three applications to real data sets.     

Universally Optimal Designs Balanced for Neighbor Effects

The performance of a treatment is affected by the treatments applied to its adjacent plots, especially in the experiments of agriculture, horticulture, forestry, serology and industry. Neighbor designs ensure that treatment comparisons are least affected by neighbor effects, therefore, this is a rich field of investigation. In this paper, criterion for construction of universally optimal neighbor balanced designs is discussed.     

Social determinants of under-five mortality in urban Bangladesh

Journal of Population Research - Rapid urbanization and persistent health inequity are two significant phenomena in contemporary developing world. Urban population, albeit with more modern...     

Assessing the Awareness of Egyptian Medical Students about Responsible Conduct of Research and Research Ethics: Impact of an Educational Campaign

This is a quasi-experimental pre-post assessment study utilizing an anonymous self-administered questionnaire to assess Egyptian medical students’ awareness about responsible conduct of research (RCR) and research ethics. Students’ were assessed before and after an RCR awareness campaign. Our results showed that most of the pre-campaign respondents were not familiar with the basic principles and terms of RCR. An increase in the awareness about RCR across all discussed topics was noted following the campaign. We concluded that an educational awareness campaign is effective in increasing medical students’ awareness about RCR and should be incorporated into current medical school curricula in Egypt.     

“One able daughter is worth 10 illiterate sons”: Reframing the patriarchal family

This research note reports on interviews with 120 mothers employed in garment factories in Bangladesh. These mothers express views on the necessity of being married, having sons, and educating daughters that challenge traditional patriarchal practices. They report that men of their families can no longer guarantee women and children lifetime support in the context of extreme poverty and landlessness. Many of them thus choose to assist their husbands, brothers, and parents through wage employment. Their employment creates a space in which these women can begin to make choices and decisions independent of the wishes of the men in their families. Their responses indicate a crack in the traditional patriarchal family system, which requires that a woman be dependent, first on her father, then on her husband, and then on her adult son.     

Local asymptotic properties for Cox-Ingersoll-Ross process with discrete observations

In this paper, we consider a one-dimensional Cox-Ingersoll-Ross (CIR) process whose drift coefficient depends on unknown parameters. Considering the process discretely observed at high frequency, we prove the local asymptotic normality property in the subcritical case, the local asymptotic quadraticity in the critical case, and the local asymptotic mixed normality property in the supercritical case. To obtain these results, we use the Malliavin calculus techniques developed recently for CIR process together with the estimation for positive and negative polynomial moments of the CIR process. In this study, we require the same conditions of high frequency and infinite horizon as in the case of ergodic diffusions with globally Lipschitz coefficients studied earlier in the literature. However, in the non-ergodic cases, additional assumptions on the decreasing rate are required due to the fact that the square root diffusion coefficient of the CIR process is not regular enough.     

Identification of genomic markers correlated with sensitivity in solid tumors to Dasatinib using sparse principal components

Differential analysis techniques are commonly used to offer scientists a dimension reduction procedure and an interpretable gateway to variable selection, especially when confronting high-dimensional genomic data. Huang et al. used a gene expression profile of breast cancer cell lines to identify genomic markers which are highly correlated with in vitro sensitivity of a drug Dasatinib. They considered three statistical methods to identify differentially expressed genes and finally used the results from the intersection. But the statistical methods that are used in the paper are not sufficient to select the genomic markers. In this paper we used three alternative statistical methods to select a combined list of genomic markers and compared the genes that were proposed by Huang et al. We then proposed to use sparse principal component analysis (Sparse PCA) to identify a final list of genomic markers. The Sparse PCA incorporates correlation into account among the genes and helps to draw a successful genomic markers discovery. We present a new and a small set of genomic markers to separate out the groups of patients effectively who are sensitive to the drug Dasatinib. The analysis procedure will also encourage scientists in identifying genomic markers that can help to separate out two groups.