The LLP risk model: an individual risk prediction model for lung cancer

Using a model-based approach, we estimated the probability that an individual, with a specified combination of risk factors, would develop lung cancer within a 5-year period

Controlling for Observed and Unobserved Site Characteristics in RUM Models of Recreation Demand

Recreation demand models are typically plagued by limited information on site attributes. If these unobserved site attributes are correlated with the observed characteristics and/or the travel cost variable, the resulting parameter estimates are likely to be biased. We develop a Bayesian approach to estimating a model that incorporates a full set of alternative-speci c constants, insulating the key travel cost parameter from the in uence of unobservables. The proposed posterior simulator can be used in the mixed logit framework in which some parameters of the conditional utility function are random. We apply the estimation procedures to data from the Iowa Lakes Project.Hatch Act and State of Iowa, the Iowa Department of Natural Resources and the U.S. Environmental Protection Agency's Science to Achieve Results (STAR) program.Grant R830818.http://ajae.oxfordjournals.org/hb201

Relationship Between the Physical Activities Level, Functional Status and Quality of Life of Geriatric Individuals

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