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77 results for “external validation”
Data from: External validation of prognostic and predictive gene signatures in 1097 European head and neck squamous cell carcinoma patients
<p><span>Anonymized data containing survival endpoints and gene signature scores for head and neck cancer patients.</span></p> <p><span>File <strong>data_os_gs.csv</strong> : data linking overall survival and gene signature scores</span></p> <p><span>File <strong>data_dfs_gs.csv</strong> : data linking disease-free survival and gene signature scores</span></p> <p><span><strong>Variables</strong>:</span></p> <ul> <li><span><em>supertreat_id</em>: patient ID</span></li> <li><span><em>GS_score_172GS</em>: gene signature score for the <em>172-GS</em> signature. The score is Z-score normalized with a mean of 0 and SD of 1. </span></li> <li><span><em>GS_score_3clustersHPV</em>: gene signature score for the <em>3 clusters HPV</em> signature. The score is Z-score normalized with a mean of 0 and SD of 1. </span></li> <li><span><em>GS_score_RSI</em>: gene signature score for the <em>radiosenstivity index (RSI) </em>signature. The score is Z-score normalized with a mean of 0 and SD of 1. </span></li> <li><span><em>GS_score_pancancerCisplatin</em>: gene signature score for the <em>pancancer-cisplatin</em> signature. The score is Z-score normalized with a mean of 0 and SD of 1. </span></li> <li><span><em>GS_score_cl3Hypoxia</em>: gene signature score for the <em>Cl3-hypoxia</em> signature. The score is Z-score normalized with a mean of 0 and SD of 1. </span></li> <li><span>Variables only available in <strong>data_os_gs.csv: </strong></span> <ul> <li><span><em>overall_survival_days_2years</em>: Overall survival censored at 2 years since diagnosis. Number of days from diagnosis to death or censoring.</span></li> <li><span><em>overall_survival_days_5years</em>: Overall survival censored at 5 years since diagnosis. Number of days from diagnosis to death or censoring.</span></li> <li><span><em>overall_survival_status_2years</em>: Overall survival status when censored at 2 years since diagnosis. Coded as 0 if censored, and 1 if dead. </span></li> <li><span><em>overall_survival_status_5years</em>: Overall survival status when censored at 5 years since diagnosis. Coded as 0 if censored, and 1 if dead. </span></li> </ul> </li> </ul> <ul> <li><span>Variables only available in <strong>data_dfs_gs.csv:</strong></span> <ul> <li><span><em>disease_free_survival_days_2years</em>: Disease-free survival censored at 2 years since diagnosis. Number of days from diagnosis to an event (death or cancer recurrence) or censoring.</span></li> <li><span><em>disease_free_survival_days_5years</em>: Disease-free survival censored at 5 years since diagnosis. Number of days from diagnosis to an event (death or cancer recurrence) or censoring.</span></li> <li><span><em>disease_free_survival_status_2years</em>: Disease-free survival status when censored at 2 years since diagnosis. Coded as 0 if censored, and 1 if an event (death or recurrence). </span></li> <li><span><em>disease_free_survival_status_5years</em>: Disease-free survival status when censored at 5 years since diagnosis. Coded as 0 if censored, and 1 if an event (death or recurrence). </span></li> </ul> </li> </ul>
Opinions on Internal and External Validity
<p><strong>Overview of Data</strong></p> <p>1) studies.csv : Literature survey of papers from ESEC/FSE, ICSE, and EMSE. Contains data on how they were validated.<br /><br> 2) resultsComplete.csv : Contains the responses of the program-committee members and our categorization of the responses.</p> <p><strong>Attribute Information</strong></p> <p>1) studies.csv:<br /><br> Contains name of the paper, conference and response for the following 5 questions<br /><br> - Was an empirical method applied?<br /><br> - Were the experimental subjects human or non-human?<br /><br> - Were the human experimental subjects professionals or students?<br /><br> - Was an internal or external replication reported?<br /><br> - How are threats to validity described?<br /><br> <br /><br> 2) resultsComplete.csv<br /><br> Contains the responses of the program-committee members and our categorization of the responses<br /></p>
Converting between the International Prostate Symptom Score (IPSS) and the Expanded Prostate Cancer Index Composite (EPIC) urinary subscales: modeling and external validation
<p><strong>Background</strong>: Prostate-related quality of life can be assessed with a variety of different questionnaires. The 50-item Expanded Prostate Cancer Index Composite (EPIC) and the International Prostate Symptom Score (IPSS) are two widely used options. The goal of this study was, therefore, to develop and validate a model that is able to convert between the EPIC and the IPSS to enable comparisons across different studies. </p> <p><strong>Methods</strong>: Three hundred forty-seven consecutive patients who had previously received radiotherapy and surgery for prostate cancer at two institutions in Switzerland and Germany were contacted via mail and instructed to complete both questionnaires. The Swiss cohort was used to train and internally validate different machine learning models using fourfold cross-validation. The German cohort was used for external validation.</p> <p><strong>Results</strong>: Converting between the EPIC Urinary Irritative/Obstructive subscale and the IPSS using linear regressions resulted in mean absolute errors (MAEs) of 3.88 and 6.12, which is below the respective previously published minimal important differences (MIDs) of 5.2 and 10 points. Converting between the EPIC Urinary Summary and the IPSS was less accurate with MAEs of 5.13 and 10.45, similar to the MIDs. More complex model architectures did not result in improved performance in this study. The study was limited to the German versions of the respective questionnaires.</p> <p><strong>Conclusions</strong>: Linear regressions can be used to convert between the IPSS and the EPIC Urinary subscales. While the equations obtained in this study can be used to compare results across clinical trials, they should not be used to inform clinical decision-making in individual patients. Trial registration This study was retrospectively registered on clinicaltrials.gov on January 14th, 2022, under the registration number NCT05192876.</p>
Converting between the International Prostate Symptom Score (IPSS) and the Expanded Prostate Cancer Index Composite (EPIC) urinary subscales: modeling and external validation
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External Validation of the CLOVER Score for Detecting Occult Cancer in Venous Thromboembolism Patients
ClinicalTrials.gov study NCT07310693. IPD Sharing: YES. Countries: 1. Publications: 1.
Retrospective Multicenter Study of Patient-level T1CE/FLAIR MRI Deep Learning to Predict EGFR/ALK Driver Status in NSCLC Brain Metastases With External Validation and Survival Analysis
ClinicalTrials.gov study NCT07373951. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
Data from: External validation of an electronic health record-based diagnostic model for histological acute tubulointerstitial nephritis
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Train and external validation - HABiC
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FIGURE 5 in An assessment of the taxonomic validity of three species of marsupial frogs (Anura: Hemiphractidae: Gastrotheca) from the Yungas of Bolivia based on external morphology and cranial osteology
FIGURE 5. CT-scan images of the skull of a specimen identified as Gastrotheca splendens (CBG 1034) in dorsal (A), ventral (B), lateral (C), and frontal view (D) with the principal bones indicated. Abbreviations: alary p = alary process; angspl = angulosplenial; cr par = crista parotica; exoc = exoccipital; fpar = frontoparietal; max = maxilla; mmk = mentomeckelian bone; neopal = neopalatine; premax = premaxilla; pro = prootic; prsph = parasphenoid; pter = pterygoid; quad = quadratojugal; septo = septomaxilla; spheth = sphenethmoid; squa = squamosal. Images not at the same scale.
FIGURE 7 in An assessment of the taxonomic validity of three species of marsupial frogs (Anura: Hemiphractidae: Gastrotheca) from the Yungas of Bolivia based on external morphology and cranial osteology
FIGURE 7. Female alive specimen belonging to the Gastrotheca populations from the cloud forests (Yungas) of department La Paz (Bolivia) for which the name G. coerulemaculatus (Werner, 1899) is available. A) Dorsolateral view; B) ventral view; note the blue, green, and yellow ventral pattern, and the orange lower surface of thighs (Photos: Mauricio Pacheco).
FIGURE 3 in An assessment of the taxonomic validity of three species of marsupial frogs (Anura: Hemiphractidae: Gastrotheca) from the Yungas of Bolivia based on external morphology and cranial osteology
FIGURE 3. Cranial co-ossification with different degrees of development (increasing from A to D) in preserved individuals preliminary identified as Gastrotheca splendens: (A) female, CBG 1035; (B) female, CBG 1034; (C) female, CBG 1033; (D) female, CBG 1032.
FIGURE 1 in An assessment of the taxonomic validity of three species of marsupial frogs (Anura: Hemiphractidae: Gastrotheca) from the Yungas of Bolivia based on external morphology and cranial osteology
FIGURE 1. Three nominal species of Gastrotheca from the Yungas of central Bolivia: (A) G. lauzuricae: female holotype, EBD 37379H, 34.3 mm SVL, from La Siberia, 2800 m, province Carrasco, Cochabamba, Bolivia; (B) G. piperata: female EBD 37243H, 41.9 mm SVL, from Yunga de Mairana, 2300 m, province Florida, Santa Cruz, Bolivia; (C) G. splendens: female MNK 1988, 44.7 mm SVL, from Abra de la Cruz, province Caballero, Santa Cruz, Bolivia. Photos by I. De la Riva. Note the variation on the dorsal coloration pattern (A, B) and the cranial co-ossification externally visible (C).
FIGURE 2 in An assessment of the taxonomic validity of three species of marsupial frogs (Anura: Hemiphractidae: Gastrotheca) from the Yungas of Bolivia based on external morphology and cranial osteology
FIGURE 2. Localities of Gastrotheca from the cloud forests (Yungas) of Bolivia. Red dot: type locality of G. lauzuricae; yellow dot: type locality of G. piperata; purple dot: only known locality for G. splendens; white star: type locality of G. coerulemaculatus; black star: type locality of Nototrema bolivianum; white dots: rest of specimens examined. See Appendix I for detailed locality data. Localities lying very close are represented by a single symbol.
FIGURE 4 in An assessment of the taxonomic validity of three species of marsupial frogs (Anura: Hemiphractidae: Gastrotheca) from the Yungas of Bolivia based on external morphology and cranial osteology
FIGURE 4. Morphometric multivariate analyses of Gastrotheca spp. from the Yungas of central Bolivia based on nine morphometric variables (N = 55). (A) Principal components analysis (PCA) using unmodified variables; (B) PCA based on the residuals obtained by simple linear regressions between size and the remaining eight variables to account for the size component issue (sexes shown separately); (C) Linear discriminant analysis. Percent values indicate the proportion of variation explained by each principal component and discriminant function. Centroids of each of the species under consideration in the PCAs are indicated by the respective symbol with a white margin. A priori identifications are based on published descriptions of the species and putative differences.
FIGURE 6 in An assessment of the taxonomic validity of three species of marsupial frogs (Anura: Hemiphractidae: Gastrotheca) from the Yungas of Bolivia based on external morphology and cranial osteology
FIGURE 6. CT-scan images of the skulls of three putative species of Gastrotheca from the Yungas of central Bolivia: (A, D, G, J) Gastrotheca lauzuricae, EBD 37379H, female holotype, 34.3 mm SVL; (B, E, H, K) G. piperata, MNKA 7157, female, 39.5 mm SVL; (C, F, I, L) G. splendens, CBG 1034, female, 41.8 mm SVL. From top to bottom: dorsal, ventral, lateral and frontal views; note the variation in the extent of hyperossification (in form of exostosis).
Input Data for: On the External Validity of Average-Case Analyses of Graph Algorithms
<p><strong>Data</strong></p> <p>All networks from <a href="https://networkrepository.com"><code>networkrepository.com</code></a> [1] with at most 1M edges (fall 2020). Weights and edge directions have been removed. For graphs with isomorphic largest connected component, only one copy has been kept.</p> <p>This is the raw data necessary to reproduce our experiments in <em>On the External Validity of Average-Case Analyses of Graph Algorithms</em>.</p> <p>[1] Ryan A. Rossi and Nesreen K. Ahmed, <em>The Network Data Repository with Interactive Graph Analytics and Visualization</em> (AAAI 2015)</p>
External Validation of the 4C Mortality Score for Hospitalised Patients With COVID-19 in a Tunisian Cohort
ClinicalTrials.gov study NCT05498324. IPD Sharing: NO. Countries: 1. Publications: 2.
Extern Validation of a Predictive Score of Brain Death in Severe Stroke (DIAPASON1)
ClinicalTrials.gov study NCT03612141. IPD Sharing: NO. Countries: 1. Publications: 1.
Prediction of Gait After Stroke; an External Validation
ClinicalTrials.gov study NCT06438770. IPD Sharing: Not stated. Countries: 1. Publications: 13.
External Validation of the SCARE Score
ClinicalTrials.gov study NCT04000490. IPD Sharing: NO. Countries: 1. Publications: 3.
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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.