The economic value of viewing migratory shorebirds on the Delaware Bay: An application of the single site travel cost model using on-site data

We estimated a count data model of recreation demand using data from an on-site survey of recreational birders who had visited southern Delaware during the month–long annual horseshoe crab/shorebird spring migration in 2008. We analyzed daytrips only. Our estimates from the models ranged from $32 to$142/trip/household or about $131 to$582/season/household (2008$). The variation was due to differences in the value of time. The average household size was 1.66. We found that the valuation results were sensitive to the inclusion of covariates in the model. Our results are useful for damage assessments and benefit–cost analyses where birdwatching is affected.recreational birding, economic value, shorebird migration, onsite sampling, endogenous stratification

Measuring the Recreational Use Value of Migratory Shorebirds on the Delaware Bay

In this article we estimate the recreational use value of household trips to view shorebirds during the annual horseshoe crab/shorebird migration on the Delaware Bay. We use contingent valuation to estimate the value of day and overnight trips separately and use a discrete choice question followed by a payment-card question to generate our valuation data. Our best estimates for the value of a day trip are about $66–$90/household and for an overnight trip about $200–$425/household (2008$). Our data are from the 2008 season, and our average household size is 1.66. For some context, estimates from four other studies report values that vary from$63/trip/person to $442/trip/person. These studies vary in method and specific birding populations studied and mix day and overnight trips.Contingent valuation, discrete choice, bird watching, use value, Environmental Economics and Policy, Public Economics, Research Methods/ Statistical Methods, Q5,

Measuring the recreational use value of migratory shorebirds on the Delaware Bay

In this article we estimate the recreational use value of household trips to view shorebirds during the annual horseshoe crab/shorebird migration on the Delaware Bay. We use contingent valuation to estimate the value of day and overnight trips separately and use a discrete choice question followed by a payment-card question to generate our valuation data. Our best estimates for the value of a day trip are about $66–$90/household and for an overnight trip about $200–$425/household (2008$). Our data are from the 2008 season, and our average household size is 1.66. For some context, estimates from four other studies report values that vary from$63/trip/person to $442/trip/person. These studies vary in method and specific birding populations studied and mix day and overnight trips.Contingent valuation, discrete choice, bird watching, use value

"The Economic Value of Viewing Migratory Shorebirds on the Delaware Bay: An Application of the Single Site Travel Cost Model Using On-Site Data"

Using data from an on-site survey of recreational birders in southern Delaware during the annual horseshoe crab/shorebird spring migration, we estimated four truncated count data models of recreation demand accounting for endogenous stratification due to onsite sampling. We analyzed day-trips only and conducted sensitivity analysis on measurement of the value of time and inclusion of covariates. Our estimates from the models using all covariates were in the range of $40 to$178/trip/household (2008$). The variation is due to differences in the value of time. The average household size is 1.66.Travel-Cost Model, Shorebirds, Valuation

Measuring the recreational use value of migratory shorebirds on the Delaware Bay

In this article we estimate the recreational use value of household trips to view shorebirds during the annual horseshoe crab/shorebird migration on the Delaware Bay. We use contingent valuation to estimate the value of day and overnight trips separately and use a discrete choice question followed by a payment-card question to generate our valuation data. Our best estimates for the value of a day trip are about $66–$90/household and for an overnight trip about $200–$425/household (2008$). Our data are from the 2008 season, and our average household size is 1.66. For some context, estimates from four other studies report values that vary from$63/trip/person to $442/trip/person. These studies vary in method and specific birding populations studied and mix day and overnight trips

The economic value of viewing migratory shorebirds on the Delaware Bay: An application of the single site travel cost model using on-site data

We estimated a count data model of recreation demand using data from an on-site survey of recreational birders who had visited southern Delaware during the month–long annual horseshoe crab/shorebird spring migration in 2008. We analyzed daytrips only. Our estimates from the models ranged from $32 to$142/trip/household or about $131 to$582/season/household (2008$). The variation was due to differences in the value of time. The average household size was 1.66. We found that the valuation results were sensitive to the inclusion of covariates in the model. Our results are useful for damage assessments and benefit–cost analyses where birdwatching is affected

The economic value of viewing migratory shorebirds on the Delaware Bay: An application of the single site travel cost model using on-site data

We estimated a count data model of recreation demand using data from an on-site survey of recreational birders who had visited southern Delaware during the month–long annual horseshoe crab/shorebird spring migration in 2008. We analyzed daytrips only. Our estimates from the models ranged from $32 to$142/trip/household or about $131 to$582/season/household (2008$). The variation was due to differences in the value of time. The average household size was 1.66. We found that the valuation results were sensitive to the inclusion of covariates in the model. Our results are useful for damage assessments and benefit–cost analyses where birdwatching is affected

Genome-wide association of familial late-onset alzheimer's disease replicates BIN1 and CLU and nominates CUGBP2 in interaction with APOE

Late-onset Alzheimer's disease (LOAD) is the most common form of dementia in the elderly. The National Institute of Aging-Late Onset Alzheimer's Disease Family Study and the National Cell Repository for Alzheimer's Disease conducted a joint genome-wide association study (GWAS) of multiplex LOAD families (3,839 affected and unaffected individuals from 992 families plus additional unrelated neurologically evaluated normal subjects) using the 610 IlluminaQuad panel. This cohort represents the largest family-based GWAS of LOAD to date, with analyses limited here to the European-American subjects. SNPs near APOE gave highly significant results (e.g., rs2075650, p = 3.2×10-81), but no other genome-wide significant evidence for association was obtained in the full sample. Analyses that stratified on APOE genotypes identified SNPs on chromosome 10p14 in CUGBP2 with genome-wide significant evidence for association within APOE ε4 homozygotes (e.g., rs201119, p = 1.5×10-8). Association in this gene was replicated in an independent sample consisting of three cohorts. There was evidence of association for recently-reported LOAD risk loci, including BIN1 (rs7561528, p = 0.009 with, and p = 0.03 without, APOE adjustment) and CLU (rs11136000, p = 0.023 with, and p = 0.008 without, APOE adjustment), with weaker support for CR1. However, our results provide strong evidence that association with PICALM (rs3851179, p = 0.69 with, and p = 0.039 without, APOE adjustment) and EXOC3L2 is affected by correlation with APOE, and thus may represent spurious association. Our results indicate that genetic structure coupled with ascertainment bias resulting from the strong APOE association affect genome-wide results and interpretation of some recently reported associations. We show that a locus such as APOE, with large effects and strong association with disease, can lead to samples that require appropriate adjustment for this locus to avoid both false positive and false negative evidence of association. We suggest that similar adjustments may also be needed for many other large multi-site studies. © 2011 Wijsman et al

An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale. Analysis of clinicopathologic annotations for over 11,000 cancer patients in the TCGA program leads to the generation of TCGA Clinical Data Resource, which provides recommendations of clinical outcome endpoint usage for 33 cancer types