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1,200 results for “Meta analysis”
Surgical resection for rectal cancer. Is laparoscopic surgery as successful as open approach? A systematic review with meta-analysis
<p>Data Set from the original article Surgical resection for rectal cancer. Is laparoscopic surgery as successful as open approach? A systematic review with meta-analysis.</p>
Are there benefits from using bone-borne maxillary expansion instead of tooth-borne maxillary expansion? A systematic review with meta-analysis
<p>Full dataset for all analyses done in the paper</p>
Data and results for Cochrane systematic review and network meta-analysis on hepatorenal syndrome
<p>This contains the data and the raw results for the Cochrane systematic review and network meta-analysis on hepatorenal syndrome (https://doi.org/10.1002/14651858.CD013103). Please unzip the file and read the instructions before using the data.</p>
Data and results for Cochrane systematic review and network meta-analysis on treatment of spontaneous bacterial peritonitis
<p>This contains the data and the raw results for the Cochrane systematic review and network meta-analysis on the treatment of spontaneous bacterial peritonitis (https://doi.org/10.1002/14651858.CD013120). Please unzip the file and read the instructions before using the data.</p>
Meta-analysis summary-level results of histology GWAS -- females, visceral
<ol> <li>MarkerName -- name of the SNP</li> <li>Allele1 -- first allele</li> <li>Allele2 -- second allele</li> <li>Freq1 -- frequency of Allele1</li> <li>FreqSE -- standard error of the freq estimate</li> <li>MinFreq -- lower confidence bound of the freq estimate</li> <li>MaxFreq -- upper confidence bound of the freq estimate</li> <li>Weight -- sample size weight</li> <li>Zscore -- z-score of the SNP</li> <li>P-value -- p-value of the SNP</li> <li>Direction -- directions of the betas in the cohorts, in the order the cohorts are listed in the corresponding *.metalParams.txt file</li> <li>HetISq -- I-squared estimate for heterogeneity test</li> <li>HetChiSq -- Chi-Square estimate for heterogeneity test</li> <li>HetDf -- degrees of freedom for heterogeneity test</li> <li>HetPVal -- p-value for heterogeneity test</li> </ol>
Meta-analysis summary-level results of histology GWAS -- combined, visceral
<ol> <li>MarkerName -- name of the SNP</li> <li>Allele1 -- first allele</li> <li>Allele2 -- second allele</li> <li>Freq1 -- frequency of Allele1</li> <li>FreqSE -- standard error of the freq estimate</li> <li>MinFreq -- lower confidence bound of the freq estimate</li> <li>MaxFreq -- upper confidence bound of the freq estimate</li> <li>Weight -- sample size weight</li> <li>Zscore -- z-score of the SNP</li> <li>P-value -- p-value of the SNP</li> <li>Direction -- directions of the betas in the cohorts, in the order the cohorts are listed in the corresponding *.metalParams.txt file</li> <li>HetISq -- I-squared estimate for heterogeneity test</li> <li>HetChiSq -- Chi-Square estimate for heterogeneity test</li> <li>HetDf -- degrees of freedom for heterogeneity test</li> <li>HetPVal -- p-value for heterogeneity test</li> </ol>
Meta-analysis summary-level results of histology GWAS -- males, subcutaneous
<ol> <li>MarkerName -- name of the SNP</li> <li>Allele1 -- first allele</li> <li>Allele2 -- second allele</li> <li>Freq1 -- frequency of Allele1</li> <li>FreqSE -- standard error of the freq estimate</li> <li>MinFreq -- lower confidence bound of the freq estimate</li> <li>MaxFreq -- upper confidence bound of the freq estimate</li> <li>Weight -- sample size weight</li> <li>Zscore -- z-score of the SNP</li> <li>P-value -- p-value of the SNP</li> <li>Direction -- directions of the betas in the cohorts, in the order the cohorts are listed in the corresponding *.metalParams.txt file</li> <li>HetISq -- I-squared estimate for heterogeneity test</li> <li>HetChiSq -- Chi-Square estimate for heterogeneity test</li> <li>HetDf -- degrees of freedom for heterogeneity test</li> <li>HetPVal -- p-value for heterogeneity test</li> </ol>
Meta-analysis summary-level results of histology GWAS -- females, subcutaneous
<ol> <li>MarkerName -- name of the SNP</li> <li>Allele1 -- first allele</li> <li>Allele2 -- second allele</li> <li>Freq1 -- frequency of Allele1</li> <li>FreqSE -- standard error of the freq estimate</li> <li>MinFreq -- lower confidence bound of the freq estimate</li> <li>MaxFreq -- upper confidence bound of the freq estimate</li> <li>Weight -- sample size weight</li> <li>Zscore -- z-score of the SNP</li> <li>P-value -- p-value of the SNP</li> <li>Direction -- directions of the betas in the cohorts, in the order the cohorts are listed in the corresponding *.metalParams.txt file</li> <li>HetISq -- I-squared estimate for heterogeneity test</li> <li>HetChiSq -- Chi-Square estimate for heterogeneity test</li> <li>HetDf -- degrees of freedom for heterogeneity test</li> <li>HetPVal -- p-value for heterogeneity tes</li> </ol>
Meta-analysis summary-level results of histology GWAS -- combined, subcutaneous
<ol> <li>MarkerName -- name of the SNP</li> <li>Allele1 -- first allele</li> <li>Allele2 -- second allele</li> <li>Freq1 -- frequency of Allele1</li> <li>FreqSE -- standard error of the freq estimate</li> <li>MinFreq -- lower confidence bound of the freq estimate</li> <li>MaxFreq -- upper confidence bound of the freq estimate</li> <li>Weight -- sample size weight</li> <li>Zscore -- z-score of the SNP</li> <li>P-value -- p-value of the SNP</li> <li>Direction -- directions of the betas in the cohorts, in the order the cohorts are listed in the corresponding *.metalParams.txt file</li> <li>HetISq -- I-squared estimate for heterogeneity test</li> <li>HetChiSq -- Chi-Square estimate for heterogeneity test</li> <li>HetDf -- degrees of freedom for heterogeneity test</li> <li>HetPVal -- p-value for heterogeneity test</li> </ol>
Meta-analysis summary-level results of histology GWAS -- males, visceral
<ol> <li>MarkerName -- name of the SNP</li> <li>Allele1 -- first allele</li> <li>Allele2 -- second allele</li> <li>Freq1 -- frequency of Allele1</li> <li>FreqSE -- standard error of the freq estimate</li> <li>MinFreq -- lower confidence bound of the freq estimate</li> <li>MaxFreq -- upper confidence bound of the freq estimate</li> <li>Weight -- sample size weight</li> <li>Zscore -- z-score of the SNP</li> <li>P-value -- p-value of the SNP</li> <li>Direction -- directions of the betas in the cohorts, in the order the cohorts are listed in the corresponding *.metalParams.txt file</li> <li>HetISq -- I-squared estimate for heterogeneity test</li> <li>HetChiSq -- Chi-Square estimate for heterogeneity test</li> <li>HetDf -- degrees of freedom for heterogeneity test</li> <li>HetPVal -- p-value for heterogeneity test</li> </ol>
Effects of the Best Possible Self intervention: a systematic review and meta-analysis
<p>This dataset contains the data regarding the effect sizes and moderator variables of each study included in a systematic review and metaanalysis on the efficacy of the Best Possible Self intervention on wellbeing, optimism, positive and negative affect, and depression.</p>
Data and results for Cochrane systematic review and network meta-analysis on 'Induction immunosuppression in adults undergoing liver transplantation: a network meta-analysis'
<p>This contains the data and the raw results for the Cochrane systematic review and network meta-analysis on Induction immunosuppression in adults undergoing liver transplantation: a network meta-analysis (<a href="https://doi.org/10.1002/14651858.CD013203">https://doi.org/10.1002/14651858.CD013203</a>). Please unzip the file and read the instructions before using the data.</p>
Alzheimer's disease meta-analysis of Kunkle et al GWAS and UK Biobank GWAX
<p>This dataset comprises summary statistics from a meta-analysis of: (1) GWAS for family history of Alzheimer’s disease (GWAX) using the UK Biobank, and (2) the Kunkle et al. (2019) GWAS of diagnosed Alzheimer’s disease. Further analyses of these data are described in an upcoming publication.</p>
Life-cycle assessment of hydrogen systems: A systematic review and meta-regression analysis
<p>The high expectations placed on hydrogen as a clean fuel have led to a growing amount of life-cycle assessment (LCA) studies of hydrogen-related systems. The multiple methodological choices and diverse technical characteristics contribute to a broad set of practices, resulting in significant variability even among similar systems. This study sets the basis for the development of harmonised guidelines for LCA of fuel cells and hydrogen (FCH) systems by analysing current LCA practices. The reviewed literature suggests that previous efforts on harmonisation of LCA methodological choices have led to common practices for certain choices, e.g. functional unit. However, an incomplete definition of some parameters hinders the interpretability of LCA results and hides the potential sources of variability in terms of LCA estimates. In this work, in addition to a systematic literature review of LCA of FCH systems to identify current practices and gaps, sources of variability were investigated for the life-cycle greenhouse gas emissions of hydrogen production systems through a meta-regression analysis (MRA). The MRA results show that the variability of LCA estimates in the literature can be explained by a limited set of qualitative (e.g. implementation of CO<sub>2</sub> capture, among other technological choices) and quantitative (e.g. electricity consumption for hydrogen processing) variables. Although a certain progress towards common methodological choices in LCA of FCH systems was identified, further work is still needed to harmonise practices, as well as to extend the application of the proposed MRA approach to other life-cycle indicators for both identification of main drivers and harmonisation of LCA impact scores.</p>
FIG. 1 in Effects of Secondary Forest Succession on Amphibians and Reptiles: A Review and Meta-analysis
FIG. 1. Map of percent of primary forest (black) and other naturally regenerated or planted forests (white) as defined by FAO (2015) by continent.
FIG. 4 in Effects of Secondary Forest Succession on Amphibians and Reptiles: A Review and Meta-analysis
FIG. 4. Published estimates of time to recovery (years) of amphibian and reptile species richness. Arrow under Petranka et al. (1994) indicates that more than 80 years were required for species richness to recover.
FIG. 3 in Effects of Secondary Forest Succession on Amphibians and Reptiles: A Review and Meta-analysis
FIG. 3. The age distribution of forest included in 20 of the published articles included in the meta-analysis. Four studies did not provide information on secondary forest age.
FIG. 2 in Effects of Secondary Forest Succession on Amphibians and Reptiles: A Review and Meta-analysis
FIG. 2. Map of study sites included in meta-analysis by country. Black dots indicate the study locations. Points jittered in the northwestern United States to show overlapping locations.
Supplemental Material for "Urban blue spaces and human health: A systematic review and meta-analysis of quantitative studies"
Open the record for dataset details and reuse information.
Efficacy and safety of different monoclonal antibodies for osteoarthritis: a Bayesian network meta-analysis
Open the record for dataset details and reuse information.
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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.