Book Review: The Science Glass Ceiling: Academic Women Scientists and the Struggle to Succeed

Review of The Science Glass Ceiling: Academic Women Scientists and the Struggle to Succeed by Sue V. Rosse

Book Review: Clinical Aspects of Sexual Harassment and Gender Discrimination- Psychological Consequences and Treatment Interventions

Review of Clinical Aspects of Sexual Harassment and Gender Discrimination- Psychological Consequences and Treatment Interventions by Sharyn Ann Lenhar

Book Review: Emerging Voices – South Asian American Women Redefine Self, Family and Community

Review of Emerging Voices – South Asian American Women Redefine Self, Family and Community, edited by Sangeeta R. Gupt

Book Review: Mental Health of Indian Women – a Feminist Agenda

Review of Mental Health of Indian Women – a Feminist Agenda by Bhargavi V. Dava

Exploring Bicycle and Public Transit Use by Low-Income Latino Immigrants: A Mixed-Methods Study in the San Francisco Bay Area

Latin American immigrants will continue to make up a large share of transit ridership, bicycling and walking in the United States for the foreseeable future, but there is relatively little research about them. This mixed-methods study compares the travel patterns of low-income immigrants living in the San Francisco Bay Area with that of other groups and investigates the barriers and constraints faced by low-income immigrants when taking transit and bicycling. Much of the previous work on immigrant travel has relied on national surveys and qualitative analysis, which underrepresent disadvantaged population groups and slower modes of travel, or are unable to speak to broader patterns in the population. We conducted interviews with 14 low-income immigrants and a paper-based intercept survey of 2,078 adults. Interviewees revealed five major barriers that made public transit use difficult for them, including safety, transit fare affordability, discrimination, system legibility, and reliability. Although crime was the most prominent issue in interviews, the survey results suggest transit cost is the most pressing concern for low-income immigrants. Low-income immigrants were less likely than those with higher-incomes to have access to a motor vehicle, and were less likely than higher-income immigrants or the U.S.-born of any income to have access to a bicycle or bus pass. Finally, although most barriers to public transit use were the same regardless of nativity or household income, low-income immigrants were much less willing to take public transit when they had the option to drive and less willing to bicycle for any purpose. The prevalence of concerns about transit affordability, crime, and reliability suggest transit agencies should consider income-based fare reductions, coordinated crime prevention with local law enforcement, and improved scheduling

On a Model for Bivariate Left Censored Data

The lifetimes of subjects which are left-censored lie below a threshold value or a limit of detection. A popular tool used to handle left-censored data is the reversed hazard rate. In this work, we study the properties and develop characterizations of a class of distributions based on proportional reversed hazard rates used for analyzing left censored data. These characterizations are applied to simulate samples as well as analyze real data using distributions belonging to this class.Comment: 16 pages, 4 figure

Further Results on the Bivariate Semi-parametric Singular Family of Distributions

General classes of bivariate distributions are well studied in literature. Most of these classes are proposed via a copula formulation or extensions of some characterisation properties in the univariate case. In Kundu(2022) we see one such semi-parametric family useful to model bivariate data with ties. This model is a general semi-parametric model with a baseline. In this paper we present a characterisation property of this class of distributions in terms of a functional equation. The general solution to this equation is explored. Necessary and sufficient conditions under which the solution becomes a bivariate distribution is investigated

On Modeling Bivariate Left Censored Data using Reversed Hazard Rates

When the observations are not quantified and are known to be less than a threshold value, the concept of left censoring needs to be included in the analysis of such datasets. In many real multi component lifetime systems left censored data is very common. The usual assumption that components which are part of a system, work independently seems not appropriate in a number of applications. For instance it is more realistic to acknowledge that the working status of a component affects the remaining components. When you have left-censored data, it is more meaningful to use the reversed hazard rate, proposed as a dual to the hazard rate. In this paper, we propose a model for left-censored bivariate data incorporating the dependence enjoyed among the components, based on a dynamic bivariate vector reversed hazard rate proposed in Gurler (1996). The properties of the proposed model is studied. The maximum likelihood method of estimation is shown to work well for moderately large samples. The Bayesian approach to the estimation of parameters is also presented. The complexity of the likelihood function is handled through the Metropolis - Hastings algorithm. This is executed with the MH adaptive package in r. Different interval estimation techniques of the parameters are also considered. Applications of this model is demonstrated by illustrating the usefulness of the model in analyzing real data

Efficacy of sodium feredetate versus ferrous sulfate in iron deficiency anemia in preganant women

Background: The main aim of the study was to determine the efficacy of Sodium Feredetate with Ferrous Sulfate in treatment of iron deficiency anemia in pregnant women. Rise in hemoglobin after one and two months of treatment with respective drugs and their side effects.Methods: Prospective randomized study carried out between Jan 2008-July 2009 at Government Tertiary Care Level Hospital OBG Department in Mangalore on 74 pregnant women with anemia.Results: Sodium feredetate (Na Fe EDTA) in iron deficiency anemia led to a significant and rapid rise in hemoglobin levels than that with ferrous sulfate in our study.Conclusions: Sodium Feredetate in iron deficiency anemia led to a significant and rapid rise in hemoglobin levels than that with Ferrous Sulfate and also associated with minimal or no side effects