8 research outputs found

    A Review on the Biasing Parameters of Ridge Regression Estimator in LRM

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    Ridge regression is one of the most widely used biased estimators in the presence of multicollinearity, preferred over unbiased ones since they have a larger probability of being closer to the true parametric value. Being the modification of the least squares method it introduces a biasing parameter to reduce the length of the parameter under study. As these biasing parameters depend upon the unknown quantities, extensive work has been carried out by several authors to work out the best one. Owing to the fact that over the years large numbers of biasing parameters have been proposed and studied, this article presents an annotated bibliography along with the review on various biasing parameter available

    Changing epidemiology of HIV in Mumbai: An application of the Asian epidemic model

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    Background: Mumbai is one of the most populous and high HIV prevalence cities in India. It has witnessed substantial changes in HIV-risk behaviors and a decline in HIV prevalence among high-risk groups during the past decade. Aim: To examine the changing pattern in the number of new HIV infections by transmission routes in Mumbai during 2000–2017. Methods: We used the Asian Epidemic Model by dividing the adult population (aged 15 and above) into seven subgroups: brothel-based and non-brothel based female sex workers (FSWs), heterosexual clients of FSWs, men who have sex with men/transgendered people (MSM), injecting drug users (IDUs), general women and general men. The MSM subgroup included homosexual and bisexual men. Results: New HIV infections among adults reduced by 86% during 2000–2010. The highest decline was among FSWs and their heterosexual clients (95%–98%), followed by MSM (82%), general women (77%), IDUs (51%) and general men (42%). Most new HIV infections during 2011-2017 are expected to occur among general women (1666) and general men (977) followed by MSM (715). Bisexual men were estimated to contribute about 14% of the new HIV infections among general women in 2010 and this proportion was estimated to increase to 19% in 2017. Discussion: HIV prevention programs for MSM and the general population need to be strengthened. Ensuring early detection of HIV, and higher levels of consistent condom use by HIV-infected men and women are essential to prevent new HIV infections in future

    The association between adolescent entry into the trucking industry and risk of HIV among long-distance truck drivers in India

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    This study examines the relationship between entry into the trucking industry during adolescence and both sexually transmitted infections (STIs) and infection by the human immunodeficiency virus (HIV) among long-distance truck drivers in India. Data were sourced from a cross-sectional survey (sample size: 2066) undertaken in 2007 among long-distance truck drivers. The survey spread across major transshipment locations covering the bulk of India’s transport volume along four routes. Participants were interviewed about sexual behaviors and were tested for HIV and STIs. The present authors constructed two synthetic cohorts based on the participants’ duration of employment in the trucking industry: (1) low (duration ≤ 6 years) and (2) high experience (duration ≥ 7 years). Based on age at entry into the trucking industry, participants were termed as either adolescent (age at entry \u3c 18 complete years) or adult entrants (age at entry ≥ 18 complete years). In the low-experience cohort, the adolescent entrants were more likely than the adult entrants to have sex with paid female partners (42.6% versus 27.2%, respectively; adjusted odds ratio [OR]: 1.9; 95% confidence interval [CI]: 1.3–2.9) and to practice inconsistent condom use with such partners (69.1% versus 26.8%, respectively; adjusted OR: 5.3; 95% CI: 2.4–11.6). However, no significant differences were found in STI and HIV prevalence between the adolescent and the adult entrants in this cohort. In the high-experience cohort, the adolescent entrants were about two times more likely than the adult entrants to practice inconsistent condom use with paid female partners (38.5% versus 26.7%, respectively; adjusted OR: 1.7; 95% CI: 1.1–2.8) and to test positive for HIV (7.4% versus 4.0%, respectively; adjusted OR: 1.9; 95% CI: 1.2–3.1) and syphilis (5.7% versus 3.5%, respectively; adjusted OR: 1.8; 95% CI: 1.1–3.1). These results suggest the need for focused behavioral change programs in HIV prevention interventions for adolescent truckers in India and elsewhere

    Estimation of P

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