The health insurance market,labor unions,and utilization of cancer screening

The present study examines the effect of labor market characteristics, especially labor unions, on the use of two representative cancer screening services, namely the mammogram and the Pap smear, given the level of competition in the health insurance market. The role of labor unions is illustrated by means of estimated probabilities based on regression results that consider, for the first time, both health insurance and labor market variables in the same model by employing a multilevel analysis, a technique not previously used in prevention studies. The results suggest that competition among health insurance plans may actually reduce the use of preventive care whereas union membership may mitigate such negative impacts.     

Difficulties in Diagnosing Sexual Abuse in Children with Condyloma Acuminata in Turkey

Human papillomavirus is responsible for anogenital warts and could be regarded as an indicator of possible sexual abuse in children. A genital wart was detected during an investigation of anti–hepatitis C virus positivity in a four-year-old male patient. No pathological findings of another sexually transmitted disease were found except complete cleft palate and circumferential lesions in the perianal region. No family member was anti-hepatitis C virus positive, but the patient's uncle and his wife had genital condylomata. Although detailed physical examination uncovered no other findings indicative of sexual abuse, suspicion of abuse could not be eliminated. Therefore, we wanted to draw the attention of health professionals to the association of anogenital warts and sexual abuse.     

Relationality,Intersubjectivity, and Culture: Experiences in a Therapeutic Discourse of Virtual Kinship

The contextual vision of relational therapies needs to expand beyond the therapeutic dyad to include the cultural context and the indigenous beliefs and practices that can impact on the relationship. An example of this claim is the “virtual kinship” discourse common in some sectors of Turkish society, which involves the use of a kinship idiom in interactions with nonkin, especially across class and gender lines, so that an implicit code governing social reciprocities in actual kinship relations can be invoked. This article provides clinical examples of its use by patients who differ in class and gender from the therapist. Also discussed are the impact of the discourse on the therapist and the way in which the discourse serves to create an intersubjective space for the cocreation of therapeutic meaning.     

The changing configurations of self-(m)other dialogue in North Cyprus

This paper deals with issues of identity, nationalism, postcolonialism, and self-other relations with a focus on a period of transformative events in North Cyprus. It notes how nationalism has been the dominant means of identification for Cypriots in their modern history, and argues that unless weakened and supplanted by a radically pluralist democracy, nationalism imagines one's identity as an indivisible unity and has no place for different others within the nation. However, a pressing relationship with others and otherness is no stranger to Cypriots either, which makes it clear that the border that defines the ‘we’ of such nationalism is, at the same time, the line that divides the self intrinsically, indicating the otherness of the self or its alterity. Subjectivity involves subjection to the other.     

Walking on a Tightrope: Challenges and Opportunities for Civil Society Organizations Working with Refugees and Migrants in Turkey

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - This qualitative study sheds light onto the working structures, make-up, and strengths and weaknesses of civil society...     

Who do migrant associations represent? The role of ‘ethnic deservingness’ and legal capital in migrants’ rights claims in Turkey

Considering that established migrant associations often play an active role in migrants’ rights advocacy, the relationship between them and the growing numbers of irregular migrants needs careful scrutiny. Looking at the encounters between irregular Bulgarian Turkish migrants and associations established by their co-ethnics who hold Turkish citizenship in Turkey, our ethnographic evidence shows that co-ethnic migrant associations mobilise the legal frame of ‘ethnic deservingness’ with the intention of welcoming co-ethnics to the Turkish homeland. In the absence of other formal organisations for rights advocacy, associations’ appeals to this frame emerge as a civic resource for the irregular newcomers in their permanent residency claims. At the same time, the same frame hides unequal power relations within co-ethnic communities, that is, newcomers’ peripheral positions within associations and the economic costs of filing claims via associations. This situation creates a representational gap in the associational context between its active members with higher legal capital and irregular newcomers with lower legal capital. Tackling the problem of representation determined by the legal hierarchy, this study questions whether migrant associations should still be considered important political actors when undocumented/irregular migrants outnumber regulars—especially with regard to the immediate political/legal actions they require.     

A generalized,multi-stage adjusted,latent class linear mixed model for testing genetic association

ABSTRACT

In this study, a Generalized, Multi-Stage Adjusted, Latent Class Linear Mixed Model is proposed for modeling the heterogeneous distributed phenotype and genetic information across the whole genome in the presence of both serial and familial correlations. Genome data were analyzed by applying the proposed model to Genetic Analysis Workshop (GAW) data, and the model results were compared to the results of standard models. Moreover, the potential of the model is discussed compared to simulated data. As a result of model comparisons, the information criteria and the genomic control parameter were found to be smaller. The results of a power analysis show that the proposed model is more powerful.     

Variable selection in linear regression analysis with alternative Bayesian information criteria using differential evaluation algorithm

In statistical analysis, one of the most important subjects is to select relevant exploratory variables that perfectly explain the dependent variable. Variable selection methods are usually performed within regression analysis. Variable selection is implemented so as to minimize the information criteria (IC) in regression models. Information criteria directly affect the power of prediction and the estimation of selected models. There are numerous information criteria in literature such as Akaike Information Criteria (AIC) and Bayesian Information Criteria (BIC). These criteria are modified for to improve the performance of the selected models. BIC is extended with alternative modifications towards the usage of prior and information matrix. Information matrix-based BIC (IBIC) and scaled unit information prior BIC (SPBIC) are efficient criteria for this modification. In this article, we proposed a combination to perform variable selection via differential evolution (DE) algorithm for minimizing IBIC and SPBIC in linear regression analysis. We concluded that these alternative criteria are very useful for variable selection. We also illustrated the efficiency of this combination with various simulation and application studies.     

GMM inference in spatial autoregressive models

In this study, we investigate the finite sample properties of the optimal generalized method of moments estimator (OGMME) for a spatial econometric model with a first-order spatial autoregressive process in the dependent variable and the disturbance term (for short SARAR(1, 1)). We show that the estimated asymptotic standard errors for spatial autoregressive parameters can be substantially smaller than their empirical counterparts. Hence, we extend the finite sample variance correction methodology of Windmeijer (2005 Windmeijer, F. (2005). A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Econometrics 126(1):25–51.[Crossref], [Web of Science ®] , [Google Scholar]) to the OGMME for the SARAR(1, 1) model. Results from simulation studies indicate that the correction method improves the variance estimates in small samples and leads to more accurate inference for the spatial autoregressive parameters. For the same model, we compare the finite sample properties of various test statistics for linear restrictions on autoregressive parameters. These tests include the standard asymptotic Wald test based on various GMMEs, a bootstrapped version of the Wald test, two versions of the C(α) test, the standard Lagrange multiplier (LM) test, the minimum chi-square test (MC), and two versions of the generalized method of moments (GMM) criterion test. Finally, we study the finite sample properties of effects estimators that show how changes in explanatory variables impact the dependent variable.