PubMed · 11630782
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G Pomata. 1980. [Not Available].. https://pubmed.ncbi.nlm.nih.gov/11630782/
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The health effects of ionizing radiation on human populations are often analyzed using epidemiological statistical methods. Because of the complexity of the health consequences of ionizing radiation and the prolonged period during which the consequences emerge, we propose to evaluate these health effects using mathematical models that are based on the best theoretical reasoning and prior biological evidence about disease mechanisms. We believe this will improve the ability of the model to identify health effects and reduce erroneous inferences.
The psychometric properties of a clinician-administered, DSM-IV-based, structured clinical interview for pathological gambling (SCI-PG) were examined. Seventy-two consecutive subjects requesting treatment for gambling problems were administered the SCI-PG. Reliability and validity were determined. Classification accuracy was examined using longitudinal course of illness. The SCI-PG demonstrated excellent inter-rater and test-retest reliability. Concurrent validity was observed with the South Oaks Gambling Screen (SOGS). Discriminant validity was observed with measures of anxiety and depression. The SCI-PG demonstrated both high sensitivity and specificity based on longitudinal assessment. The SCI-PG demonstrated excellent reliability and validity in diagnosing PG in subjects presenting with gambling problems. These findings require replication in other groups to examine their generalizability.