A Bayesian approach for generalized linear models with explanatory biomarker measurement variables subject to detection limit: an application to acute lung injury

Biomarkers have the potential to improve our understanding of disease diagnosis and prognosis. Biomarker levels that fall below the assay detection limits (DLs), however, compromise the application of biomarkers in research and practice. Most existing methods to handle non-detects focus on a scenario in which the response variable is subject to the DL; only a few methods consider explanatory variables when dealing with DLs. We propose a Bayesian approach for generalized linear models with explanatory variables subject to lower, upper, or interval DLs. In simulation studies, we compared the proposed Bayesian approach to four commonly used methods in a logistic regression model with explanatory variable measurements subject to the DL. We also applied the Bayesian approach and other four methods in a real study, in which a panel of cytokine biomarkers was studied for their association with acute lung injury (ALI). We found that IL8 was associated with a moderate increase in risk for ALI in the model based on the proposed Bayesian approach.     

Family System Adjustment and Adaptive Reconstruction of Social Reality among the 1995 Earthquake Survivors

Abstract  The 1995 Great Hanshin-Awaji earthquake resulted in immense imbalances among and within natural ecosystems, the built environment, and human systems. The current study examined the relationship among familial adjustment, adaptive construction of social reality, and recovery of built environment. A random sample mail survey was conducted on 3,300 earthquake victims and 993 questionnaires were returned. The survey questionnaire included the following four scales that measured the family system adjustment on family cohesion and adaptability, the adaptive construction of new reality as evidenced by citizenship orientations, the current level of physical and psychological stress, and a subjective evaluation of life recovery. The results were as follows: (1) Those families that exhibited high cohesion and a clear leadership structure in the emergency period were more functional than others. (2) Those families that reported a balanced level of cohesion and adaptability during the recovery period were the most functional in promoting present individual recovery and in alleviating current stress. (3) The rise of civic-mindedness was observed among those who survived the disaster. (4) Those with high civic-mindedness tend to be better recovered with less current physical and psychological stress. This paper presented a human ecological model that described the relationships among five components: (1) the earthquake hazard, (2) built environment conditions such as disruption of the lifeline and its recovery, (3) opportunity costs for engaging in exchanges with either basic-trust-based ties or social-trust-based ties, (4) the optimal family system adjustment to corresponding exchange relations, and (5) adaptive construction of new social reality.     

Comparison of multiple behavioral traits between urban and rural squirrels

Urban Ecosystems - Recent rapid urbanization has imposed novel challenges to animals. Urban animals alter their behaviors such as increased boldness, exploration, and aggressiveness to cope with...