Cumulative meta-analysis for genetic association: when is a new study worthwhile? - Wikidata - awgldk - TriplyDB

Cumulative meta-analysis for genetic association: when is a new study worthwhile?

Cumulative meta-analysis for genetic association: when is a new study worthwhile?

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Reappraisal of XRCC1 Arg194Trp polymorphism and glioma risk: a cumulative meta-analysis.T1 polymorphism in a disintegrin and metalloproteinase 33 (ADAM33) gene may contribute to the risk of childhood asthma in Asians.No association between XRCC1 gene Arg194Trp polymorphism and risk of lung cancer: evidence based on an updated cumulative meta-analysis CYP1A1 Ile462Val Polymorphism Is Associated with Cervical Cancer Risk in Caucasians Not Asians: A Meta-Analysis.Associations between LPL gene polymorphisms and coronary artery disease: evidence based on an updated and cumulative meta-analysis.Association between XPD Lys751Gln polymorphism and bladder cancer susceptibility: an updated and cumulative meta-analysis based on 6,836 cases and 8,251 controls.Cumulative meta-analysis and trial sequential analysis of correlation between hOGG1 Ser326Cys polymorphism and the risk of head and neck squamous cell carcinoma.

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Cumulative meta-analysis for genetic association: when is a new study worthwhile?

http://www.wikidata.org/entity/Q51285929

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2012 nî lūn-bûn

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2012年の論文

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2012年学术文章

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2012年学术文章

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2012年学术文章

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name

Cumulative meta-analysis for genetic association: when is a new study worthwhile?

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Cumulative meta-analysis for genetic association: when is a new study worthwhile?

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Cumulative meta-analysis for genetic association: when is a new study worthwhile?

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Cumulative meta-analysis for genetic association: when is a new study worthwhile?

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prefLabel

Cumulative meta-analysis for genetic association: when is a new study worthwhile?

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Cumulative meta-analysis for genetic association: when is a new study worthwhile?

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Cumulative meta-analysis for genetic association: when is a new study worthwhile?

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Michael A Rotondi

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Shelley B Bull

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Sequential methods for random-effects meta-analysis

Estimation of significance thresholds for genomewide association scans

A map of human genome variation from population-scale sequencing

A second generation human haplotype map of over 3.1 million SNPs

Identifying null meta-analyses that are ripe for updating

Quantifying heterogeneity in a meta-analysis

Meta-analysis in clinical trials

The Gene, Environment Association Studies consortium (GENEVA): maximizing the knowledge obtained from GWAS by collaboration across studies of multiple conditions

Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies

Bayesian methods of analysis for cluster randomized trials with binary outcome data.

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61-70

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scholarly article

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10.1159/000345604

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2

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74

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2012-12-21T00:00:00Z

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23258221

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