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Population Setting (population + setting)
Selected AbstractsLearning and communication in sender-receiver games: an econometric investigationJOURNAL OF APPLIED ECONOMETRICS, Issue 3 2002Andreas Blume This paper compares stimulus response (SR) and belief-based learning (BBL) using data from experiments with sender,receiver games. The environment, extensive form games played in a population setting, is novel in the empirical literature on learning in games. Both the SR and BBL models fit the data reasonably well in games where the preferences of senders and receivers are perfectly aligned and where the population history of the senders is known. The test results accept SR and reject BBL in games without population history and in all but one of the games where senders and receivers have different preferences over equilibria. Estimation is challenging since the likelihood function is not globally concave and the data become uninformative about learning once equilibrium is achieved. Copyright © 2002 John Wiley & Sons, Ltd. [source] A whole of population-based series of radical prostatectomy in Victoria, 1995 to 2000AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH, Issue 6 2009Damien Bolton Abstract Objective: Radical prostatectomy (RP) as a first line treatment of prostate cancer was rare prior to the advent of prostate specific antigen (PSA) testing, yet little is known of its use and outcomes in a population setting. We described baseline characteristics of cases in the Victorian Radical Prostatectomy Register (VRPR), investigated possible associations between demographic characteristics and characteristics at diagnosis and at surgery and trends over time. Methods: The VRPR is a population-based series of all RPs performed in Victoria from July 1995 to December 2000 (n=2,154). Results: On average, socio-economic status for cases was higher than for the general Victorian population (34% vs 20% in the highest quintile respectively, p<0.0001). The proportion of PSA-detected cases increased from 53% in 1995 to 79% in 2000 (p for linear trend=0.0004). Age at surgery and PSA levels at diagnosis decreased over time (p=0.006 and p=0.04 respectively). The proportion of cases with Gleason score ,5 from RP decreased from 35% in 1995 to 14% in 2000, while cases with Gleason score 6-7 increased from 60% to 79%. Similar trends were observed for Gleason score from biopsy. We found little evidence of significant trends over time in other pathological characteristics relevant to prognosis. Conclusion and Implications: The VRPR provides a unique whole of population based description of radical prostatectomy in Victoria, confirms findings previously reported in single institution clinical series overseas such as migration to younger age at surgery and to Gleason scores 6 to 7, and provides a resource for evaluating RP outcomes in the future. [source] Mild cognitive impairment in the older population: Who is missed and does it matter?INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY, Issue 8 2008Blossom C. M. Stephan Abstract Objectives Classifications of mild cognitive impairment (MCI) vary in the precision of the defining criteria. Their value in clinical settings is different from population settings. This difference depending on setting is to be expected, but must be well understood if population screening for dementia and pre-dementia states is to be considered. Of importance is the impact of missed diagnosis. The magnitude of missed ,at-risk' cases in the application of different MCI criteria in the population is unknown. Methods Data were from the Medical Research Council Cognitive Function and Ageing Study, a large population based study of older aged individuals in the UK. Prevalence and two-year progression to dementia in individuals whose impairment failed to fulfil published criteria for MCI was evaluated. Results Prevalence estimates of individuals not classified from current MCI definitions were extremely variable (range 2.5,41.0%). Rates of progression to dementia in these non-classified groups were also very variable (3.7,30.0%), reflecting heterogeneity in MCI classification requirements. Conclusions Narrow definitions of MCI developed for clinical settings when applied in the population result in a large proportion of individuals who progress to dementia being excluded from MCI classifications. More broadly defined criteria would be better for selection of individuals at risk of dementia in population settings, but at the possibility of high false positive rates. While exclusion may be a good thing in the population since most people are presumably ,normal', over-inclusion is more likely to be harmful. Further work needs to investigate the best classification system for application in the population. Copyright © 2008 John Wiley & Sons, Ltd. [source] Comparing self-reported and measured high blood pressure and high cholesterol status using data from a large representative cohort studyAUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH, Issue 4 2010Anne Taylor Abstract Objective: To examine the relationship between self-reported and clinical measurements for high blood pressure (HBP) and high cholesterol (HC) in a random population sample. Method: A representative population sample of adults aged 18 years and over living in the north-west region of Adelaide (n=1537) were recruited to the biomedical cohort study in 2002/03. In the initial cross-sectional component of the study, self-reported HBP status and HC status were collected over the telephone. Clinical measures of blood pressure were obtained and fasting blood taken to determine cholesterol levels. In addition, data from a continuous chronic disease and risk factor surveillance system were used to assess the consistency of self-reported measures over time. Result: Self-report of current HBP and HC showed >98% specificity for both, but sensitivity was low for HC (27.8%) and moderate for HBP (49.0%). Agreement between current self-report and clinical measures was moderate (kappa 0.55) for HBP and low (kappa 0.30) for HC. Demographic differences were found with younger people more likely to have lower sensitivity rates. Self-reported estimates for the surveillance system had not varied significantly over time. Conclusion: Although self-reported measures are consistent over time there are major differences between the self-reported measures and the actual clinical measurements. Technical aspects associated with clinic measurements could explain some of the difference. Implications: Monitoring of these broad population measures requires knowledge of the differences and limitations in population settings. [source] | ||||||||||