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2,073 results for “Comparative effectiveness”
Study to Explore the Effect of Secukinumab, Compared to Placebo, on Fat Tissue and Skin in Plaque Psoriasis Patients
ClinicalTrials.gov study NCT03055494. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Veterans' Pain Care Organizational Improvement Comparative Effectiveness Study
ClinicalTrials.gov study NCT03026790. IPD Sharing: YES. Countries: 1. Publications: 3.
CSP594 Comparative Effectiveness in Gout: Allopurinol vs. Febuxostat
ClinicalTrials.gov study NCT02579096. IPD Sharing: YES. Countries: 1. Publications: 5.
A Randomized Study to Evaluate the Effect of an "Inclisiran First" Implementation Strategy Compared to Usual Care in Patients With Atherosclerotic Cardiovascular Disease and Elevated LDL-C Despite Rec
ClinicalTrials.gov study NCT04929249. IPD Sharing: YES. Countries: 1. Publications: 1.
Study to Evaluate the Effect of Secukinumab Compared to Placebo on Aortic Vascular Inflammation in Subjects With Moderate to Severe Plaque Psoriasis
ClinicalTrials.gov study NCT02690701. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Comparative Effectiveness of Family vs. Individually Focused Diabetes Education and Support
ClinicalTrials.gov study NCT03812614. IPD Sharing: YES. Countries: 1. Publications: 2.
A Study to Assess the Effectiveness and Safety of Irinotecan Liposome Injection, 5-fluorouracil/Leucovorin Plus Oxaliplatin in Patients Not Previously Treated for Metastatic Pancreatic Cancer, Compare
ClinicalTrials.gov study NCT04083235. IPD Sharing: YES. Countries: 18. Publications: 1.
Data for empirical example in: An effect size for comparing the strength of morphological integration across studies
Open the record for dataset details and reuse information.
Data from: Comparing the indirect effects between exploiters in predator-prey and host-pathogen systems
DataS1 <p>These files are Maple and Matlab scripts for analyzing the predator-prey and host-pathogen models in "Comparing the indirect effects between exploiters in predator-prey and host-pathogen systems" and generating the figures in that study. </p>
Comparing the effect of TGF-β receptor inhibition on human mesenchymal stem/stromal cells derived from endometrium, bone marrow and adipose tissues
<p><strong>Figure S1: Differences between bmMSC donors. A)</strong> Graph showing two groups of bmMSCs with and without effect of A83-01 treatment on % SUSD2<sup>+</sup> cells. <strong>B)</strong> Graph showing no difference in the number of cells following A83-01 treatment in the two groups of donor cells from <strong>A</strong>. Plots are median for n=3 biological samples per treatment group.</p>
A comparative assessment of the dentoskeletal effects of clear aligners versus miniplate-supported posterior intrusion with fixed appliances in adult anterior open bite patients. A multi-centre, retrospective cohort study.
<p>In this retrospective study, the aim was to evaluate the dentoskeletal effects of clear aligner treatment (Invisalign®) versus miniplate-supported posterior intrusion (MSPI) in adults with anterior open bite.</p>
Quantifying the effects of species traits on predation risk in nature: a comparative study of butterfly wing damage
<p>1) Evading predators is a fundamental aspect of the ecology and evolution of all prey animals. In studying the influence of prey traits on predation risk, previous researchers have shown that crypsis reduces attack rates on resting prey, predation risk increases with increased prey activity, and rapid locomotion reduces attack rates and increases chances of surviving predator attacks. However, evidence for these conclusions is nearly always based on observations of selected species under artificial conditions. In nature, it remains unclear how defensive traits such as crypsis, activity levels, and speed influence realized predation risk across species in a community. Whereas direct observations of predator-prey interactions in nature are rare, insight can be gained by quantifying bodily damage caused by failed predator attacks. 2) We quantified how butterfly species traits affect predation risk in nature by determining how defensive traits correlate with wing damage caused by failed predation attempts, thereby providing the first robust multi-species comparative analysis of predator-induced bodily damage in wild animals. 3) For 34 species of fruit-feeding butterflies in an African forest, we recorded wing damage and quantified crypsis, activity levels, and flight speed. We then tested for correlations between damage parameters and species traits using comparative methods that account for measurement error. 4) We detected considerable differences in the extent, location, and symmetry of wing surface loss among species, with smaller differences between sexes. We found that males (but not females) of species that flew faster had substantially less wing surface loss. However, we found no correlation between cryptic colouration and symmetrical wing surface loss across species. In species in which males appeared to be more active than females, males had a lower proportion of symmetrical wing surface loss than females. 5) Our results provide evidence that activity greatly influences the probability of attacks and that flying rapidly is effective for escaping pursuing predators in the wild, but we did not find evidence that cryptic species are less likely to be attacked while at rest. 15-Oct-2019</p>
Does external pneumatic compression treatment between bouts of overreaching resistance training sessions exert differential effects on molecular signaling and performance-related variables compared to passive recovery? An exploratory study
<p>Supplemental Information: Data set respective to manuscript published in PLOS ONE titled "<strong>Does external pneumatic compression treatment between bouts of overreaching resistance training sessions exert differential effects on molecular signaling and performance-related variables compared to passive recovery? An exploratory study" </strong></p>
Non-Perennial rivers and streams under hydrological stress – comparing the effectiveness of amplicon sequencing and digital microscopy for diatom biodiversity appraisal
<p>ABC is project leader, data collector, contact person, etc.</p>
The comparative effects of landscape-level forest fragmentation, forest area and local habitat measures on Connecticut bird communities
<p>I studied how breeding and wintering forest bird communities across Connecticut responded to variation in habitat characteristics and particularly such landscape attributes as forest fragmentation. I surveyed birds at 1,815 points along 121 transects that traversed ca. 400 km of forest. I also made 12705 habitat measurements at survey points and computed areas of forest, non-forest, core forest and perimeter/area ratios of forest for 31,550 ha of study area. I computed sampled species richness and community density as well as individual species' population densities for each transect. Moreover, I classified species encountered as to their nest site selection, macrohabitat use, microhabitat use, migratory strategy and trophic affiliation. Based on observations of 36,702 summering individuals of 123 species and 13,742 wintering individuals of 63 species, declines in community density occurred with increasing fragmentation although species richness was often more closely associated with habitat measures. Among landscape measures, forest fragmentation had the closest association with summer community measures 67% of the time, strongly suggesting that fragmentation effects were the predominant driver of such community patterns. However, short-distance migrant density and richness, foraging generalist density and richness, edge/successional species density and richness, habitat generalist density, and Brown-headed Cowbird density showed little relationship to landscape measures. The effects of fragmentation appeared to predominate over those of simply forest extent in predicting summer and winter bird community characteristics even in the comparatively extensive forests of southern New England. Despite the importance of fragmentation effects, community and individual species measures often tended to be more closely associated with habitat measures than with those of fragmentation. In addition, few summer or winter community measures or species patterns showed any significant relationship to natural forest breaks. Winter community and species density patterns showed little relationship to any landscape measures, with particularly elevation appearing to be a principal driver of winter patterns.</p>
Effects of enhanced productivity of resources shared by predators in a food-web module: Comparing results of a field experiment to predictions of mathematical models of intra-guild predation
<p>This dataset contains data from a field experiment described in the publication "Wise, D. H. & Farfan, M.A. (2021) Effects of enhanced productivity of resources shared by predators in a food-web module: Comparing results of a field experiment to predictions of mathematical models of intra-guild predation. Ecology and Evolution, 00: 1-11. <a href="https://doi.org/10.1002/ece3.8375">https://doi.org/10.1002/ece3.8375</a>".</p> <p>The field experiment compared the response to increased input of nutrients and energy (artificial detritus) to an empirical model of intra-guild predation (IGP) to the predictions of published, simple mathematical models of asymmetric IGP (a generalist IG Predator that feeds both on a specialist IG Prey and a Resource that it shares with the IG Prey). The empirical model was a food-web module created by pooling species abundances across many families in a community of soil micro-arthropods into three response variables: IG Predator (large predatory mites), IG Prey (small predatory mites) and a shared Resource (fungivorous mites and springtails). The pattern of change over time in densities of the three response variables (IG Predator, IG Prey and Resource) was compared to the predictions of mathematical models of IGP to determine if the feeding relationships in this community of soil micro-arthropods could be abstracted into a simple IGP module. Thus, we were testing the hypothesis that IGP is a dominant organizing principle in this community.</p> <p>Simple mathematical models predict that increased input of nutrients and energy to the shared Resource will increase the equilibrium density of Resource and IG Predator, but will decrease that of IG Prey. By the experiment's end, densities of fungivores (Resource) had increased ~1.5x (ratio of pooled fungivore densities in the High treatment to plots with no addition of detritus (None treatment); and IG Predator densities had increased ~4x. Contrary to the prediction of mathematical models, IG Prey had not decreased, but instead had increased ~1.5x. We discuss possible reasons for the failure of the empirical model to agree with IGP theory.</p>
Code and data for "Comparing cost-effectiveness of radio and drone telemetry with playback surveys for assessing translocation outcomes"
<p><strong>Overview</strong></p> <p>Code and data used for the analyses of Stone et al., 2024 "Comparing cost-effectiveness of radio and drone telemetry with playback surveys for assessing translocation outcomes". Forthcoming in Journal of Applied Ecology</p> <p><strong>Abstract</strong></p> <p>1. Post-release monitoring is critical for assessing translocation outcomes. Yet the quality of information gained from monitoring can vary greatly, and perceived monitoring costs often results in reduced monitoring effort. Selecting cost-effective monitoring strategies that provide high quality data is therefore important for assessing translocation outcomes and making informed management decisions. <br>2. To compare how monitoring strategy affects information gained, we monitored a toutouwai/North Island robin (Petroica longipes) reintroduction in Aotearoa New Zealand, based on monitoring objectives of determining survival, site fidelity and whether the extent of management was large enough to protect dispersing individuals. We compared how these objectives were met through four monitoring strategies: 1) comprehensive surveys with ground radio telemetry and playback; 2) aerial drone telemetry; 3) dedicated playback by trained surveyors and 4) opportunistic playback by predator control contractors. We undertook a viewshed analysis to determine search coverage of each strategy and compared detection rates, efficiency, and cost. <br>3. Comprehensive ground telemetry and playback, while costly, covered the largest area and provided the most accurate data on dispersal, survival and the translocation outcome. In comparison, opportunistic playback monitoring detected substantially fewer individuals, giving a false impression of low site fidelity and survival and a failed translocation. Although drone telemetry had considerable site-specific limitations, which limited its effectiveness during our study, it was the most cost-effective with a high detection rate and low search effort. <br>4. Synthesis and applications: Our study shows the value of intensive monitoring in facilitating management decisions for wildlife translocations. Comprehensive telemetry and playback, while costly, were invaluable for gaining high quality information on the translocation outcome. Without suitable monitoring, reintroduction outcomes can be difficult to assess and potentially result in unnecessary, ineffective, or overly expensive management actions. We recommend that monitoring intensity and methodology should reflect the site, species and level of uncertainty regarding the translocation outcome. Prioritising monitoring can help reduce long-term costs, increase quality of information gained and allow for more informed management decisions that can improve subsequent translocation outcomes.</p>
Evaluation of Comparative Damaging Effects of Multiple Truck Axles for Flexible Pavements
<p>Corresponding data set for Tran-SET Project No. 17PUTA01. Abstract of the final report is stated below for reference:</p> <p>"This study aims at evaluating the effect of overlapping flexible pavement strain responses from truck axles that are not part of multiple axle configurations (i.e., tandem, triple and quad). For this purpose, a newly constructed pavement was instrumented with strain gauges installed at the bottom of the asphalt concrete base layer on US-287 south of Mansfield, TX. This pavement structure is typically used for medium- to high-volume roads in the South-Central region of the United States. The strain gauges were used to measure longitudinal and transverse strains under several passes of a test vehicle. This was a class 6 truck with a steering axle load of 56.9 kN (12.8 kips) and a tandem drive axle load of 161.9 kN (36.4 kips). The speed and the lateral position of the vehicle were recorded for each test vehicle pass. Sufficient quantities of the top two layers of asphalt concrete were obtained during construction to allow dynamic modulus testing in the laboratory. The general-purpose finite element program Abaqus was used to model the instrumented pavement section and compute the longitudinal and transverse strains at the location of the strain gauges. In the analysis, the asphalt concrete layers were modeled as visco-elastic materials. The Abaqus estimated strains were found in good agreement with the measured strains. Both the field measurements and the finite element analysis showed that the strains under the passing of the steering axle were of similar magnitude as the strains under the passing of the rear tandem axle. The measured transverse strains were in general slightly larger than the corresponding longitudinal strains. This can be attributed to the accumulation of strain from the front axle and the rear axle that takes place only in the transverse direction. However, the finite element model computed higher strains in the longitudinal direction than in the transverse direction. These findings suggest the need to account for the overlap in strain responses from the steering and the following axles of trucks. Furthermore, findings suggest that both the longitudinal and the transverse strain responses need to be considered in evaluating the fatigue damage impacted from trucks."</p>
Stronger transgenerational plasticity in clonal compared to sexual offspring of Fragaria vesca: effects of drought, elevated temperature and CO2 conditions
<div>The dataset contains phenotypic data of woodland strawberry (<em>Fragaria vesca</em>) regarding its reproductive strategy, as well as climate and water availability for both parental and offspring generations.</div> <div> </div> <div><u>F1StatGPT.csv</u>: Table containing Ramet Number at Harvest, Fruit Number at Harvest, Ramet Biomass, Offspring Ramet Biomass, and Total Biomass.</div> <div><u>StomataStatGPT.csv:</u> Table containing Number of Stomata per mm² and Stomata Size.</div>
Data and Code for "Comparing the Effects of Euclidean Distance Matching and Dynamic Time Warping in the Clustering of COVID-19 Evolution"
<p>This repository contains the datasets and data sources, analysis code, and workflow associated with the manuscript "<em>Comparing the Effects of Euclidean Distance Matching and Dynamic Time Warping in the Clustering of COVID-19 Evolution</em>". The following resources are provided:</p> <ul> <li> <p><strong>Data Files</strong>:</p> <ul> <li><code>time_series_data.csv</code>: A curated time series dataset with dates as rows and NUTS 2 regions as columns. Each column is labeled using a 4-letter abbreviation format "CC.RR", where "CC" represents the country code and "RR" represents the region code. This same abbreviation is also included in the accompanying GeoJSON file.</li> <li><code>geometry_data.geojson</code>: A GeoJSON file representing the spatial boundaries of the NUTS 2 regions, with the same 4-letter abbreviations used in the CSV file. EPSG:4326.</li> <li><code>COVID19_data_sources.xlsx</code>: This Excel file contains important metadata regarding the sources of COVID-19 data used in this study. It includes: <ul> <li>Source of the data for each country</li> <li>Official website(s)</li> <li>The agency responsible for the data</li> <li>Description of the processing steps used to curate the data into the final time series.</li> </ul> </li> </ul> </li> <li> <p><strong>Code</strong>:</p> <ul> <li><code>analysis.py</code>: A Python script used to process and analyze the data. This code can be run using Python 3.x. The libraries required to run this script are listed in the first lines of the code. The code is organized in different numbered sections (1), (2), ... and sub-sections (1a), (1b) ... Make sure to run the script one (sub-)section at a time, so that everything stays overviewable and you don't get all the output at once.</li> </ul> </li> <li> <p><strong>Workflow</strong>:</p> <ul> <li><code>workflow.png</code> : A detailed workflow according to the Knowledge Discovery in Databases (KDD) process, outlining the steps involved in processing and analyzing the data, including the methods used. This workflow provides a comprehensive guide to reproducing the analysis presented in the paper.</li> </ul> </li> </ul>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.