Most epidemiologic cohorts are composed of volunteers who do not represent the general population. To improve population inference from cohorts, propensity-score (PS)-based matching methods, such as PS-based kernel weighting (KW) method, utilise probability survey samples external references to develop PSs for membership in cohort versus survey. We identify a strong exchangeability assumption (...

BACKGROUND There is a recognized need to improve the application of epidemiologic data in human health risk assessment especially for understanding and characterizing risks from environmental and occupational exposures. Although there is uncertainty associated with the results of most epidemiologic studies, techniques exist to characterize uncertainty that can be applied to improve weight-of-ev...

purpose: to evaluate the etiologic and epidemiologic findings in central retinal artery occlusion (crao) patients in a tertiary eye center in tehran, iran. methods: all patients with crao refered to the emergency department of farabi hospital during 2001-2002 were enrolled in the study. all patients received routine treatment and were followed for 3 months. cardiology consult was done for all p...

background: periodic epidemiological studies are necessary to understand the pattern of poisoning in each region. this study was designed to evaluate the pattern of acute poisoning cases treated in a tertiary care hospital in navi mumbai, india. methods: this cross sectional study was conducted at dr. d. y. patil medical college, hospital and research centre during july 2012 to july 2013. all c...

Recent epidemiologic research has shown that people with higher socioeconomic status (SES) (e.g., educational attainment) have better psychological health than those with lower SES. However, the psychosocial mechanisms of underlying this relationship remain unclear. To fill this gap, the current study examines the mediating effects of job demands and job resources in the relationship between ed...

Using contextual factors beyond individual factors, contextual analysis allows a more accurate identification of at-risk populations, which could be useful when planning health programs. Multilevel models, widely used in British and North-American social epidemiology research but less frequently in France, are particularly suitable to analyse contextual data, because they take into account thei...

This paper summarizes what is known about preventable causes of occupational cancer, including single agents, complex mixtures, and broad occupational associations. Epidemiologic methods have been very successful in documenting cancer risks associated with single agents. Epidemiologic data are most conclusive when an exposure-response relationship can be demonstrated. Examples of agents for whi...