Subpopulation Of Sites Research Articles

Assessing the Precision of Multisite Trials for Estimating the Parameters of a Cross-Site Population Distribution of Program Effects

ABSTRACTMultisite trials, which are being used with increasing frequency in education and evaluation research, provide an exciting opportunity for learning about how the effects of interventions or programs are distributed across sites. In particular, these studies can produce rigorous estimates of a cross-site mean effect of program assignment (intent-to-treat), a cross-site standard deviation of the effects of program assignment, and a difference between the cross-site mean effects of program assignment for two subpopulations of sites. However, to capitalize on this opportunity will require adequately powering future trials to estimate these parameters. To help researchers do so, we present a simple approach for computing the minimum detectable values of these parameters for different sample designs. The article then uses this approach to illustrate for each parameter, the precision trade-off between increasing the number of study sites and increasing site sample size. Findings are presented for multisite trials that randomize individual sample members and for multisite trials that randomize intact groups or clusters of sample members.

Quantitative characterization of developing collagen gels using optical coherence tomography

Nondestructive optical imaging methods such as optical coherence tomography (OCT) have been proposed for characterizing engineered tissues such as collagen gels. In our study, OCT was used to image collagen gels with different seeding densities of smooth muscle cells (SMCs), including acellular gels, over a five-day period during which the gels contracted and became turbid with increased optical scattering. The gels were characterized quantitatively by their optical properties, specified by analysis of OCT data using a theoretical model. At 6 h, seeded cell density and scattering coefficient (mu(s)) were correlated, with mu(s) equal to 10.8 cm(-1)(10(6) cells mL). Seeded cell density and the scattering anisotropy (g) were uncorrelated. Over five days, the reflectivity in SMC gels gradually doubled with little change in optical attenuation, which indicated a decrease in g that increased backscatter, but only a small drop in mu(s). At five days, a subpopulation of sites on the gel showed substantially higher reflectivity (approximately a tenfold increase from the first 24 h). In summary, the increased turbidity of SMC gels that develops over time is due to a change in the structure of collagen, which affects g, and not simply due to a change in number density of collagen fibers due to contraction.

Integrating probabalistic and targeted compliance monitoring for comprehensive watershed assessment

Environmental monitoring typically falls into one of two broad categories. Targeted designs, utilizing fixed stations, focus on describing and quantifying impacts, tracking trends, and assessing compliance with regulatory guidelines or limits. Probabilistic designs, in contrast, draw sampling stations at random from an area or region, and the stations are used to describe conditions in the region of interest based on a subpopulation of sites. These two design approaches are usually viewed as mutually exclusive, with randomized designs used for broader regional assessments of overall ambient condition and targeted designs for demonstrating regulatory compliance and/or characterizing specific, localized impacts. Combining elements of both approaches into a single design provides benefits not available from either design alone. Embedding targeted monitoring within the framework of a probabilistic design enables data from targeted stations to be viewed in a more accurate regional context and provides a consistent background against which to identify characteristic regional patterns of contamination and impact. We use the San Gabriel River Regional Monitoring Program, recently implemented in southern California, to illustrate the structure of a hybrid design and how it enables data analyses and assessments that provide a more complete picture of conditions in the watershed. For example, the hybrid design showed that approximately 80% of the metals levels at compliance sites were below the 25th percentile of the overall watershed condition as indicated by the probabilistic sampling.

Heterogeneity of neurokinin1 binding sites in porcine respiratory tract.

High-affinity NK1 binding sites for [125I]BH-SP were characterized in adult porcine respiratory tract. The affinity and density of NK1 sites were significantly higher in tracheal epithelium and smooth muscle than in the lung. The potency order for agonists was: SP > neuropeptide-gamma > physalaemin > NKA > eledoisin > septide > SP methyl ester > GR 73632 > NKB > senktide > SP(1-7). For antagonists: CP 99,994 > CP 96,345 > spantide > L 703,606 >> WIN 51,708. The CP compounds discriminated between very high- and high-affinity NK1 sites in all three tissues. The subpopulation of sites with very high affinity for CP compounds also preferentially bound septide. Both binding components were inhibited by guanine nucleotide and showed equal affinities for SP. We propose an NK1B subtype with very high affinity for the antagonists CP 99,994 and CP 96,345 and the agonist septide, and an NK1A subtype with lower affinities for these ligands.