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Bayesian functional analysis for untargeted metabolomics data with matching uncertainty and small sample sizes.

• Authors : Ma G; Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA.; Kang J

Subjects: Metabolomics*/Metabolomics*/Metabolomics*/methods; Mice ; Animals

• Source: Briefings in bioinformatics [Brief Bioinform] 2024 Mar 27; Vol. 25 (3).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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Dynamic enrichment of Bayesian small-sample, sequential, multiple assignment randomized trial design using natural history data: a case study from Duchenne muscular dystrophy.

• Authors : Wang S; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.; Kidwell KM

Subjects: Muscular Dystrophy, Duchenne*/Muscular Dystrophy, Duchenne*/Muscular Dystrophy, Duchenne*/drug therapy; Humans ; Bayes Theorem

• Source: Biometrics [Biometrics] 2023 Dec; Vol. 79 (4), pp. 3612-3623. Date of Electronic Publication: 2023 Jun 15.Publisher: Oxford University Press Country of Publication: England NLM ID: 0370625 Publication Model: Print-Electronic Cited

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How to analyze continuous and discrete repeated measures in small-sample cross-over trials?

• Authors : Verbeeck J; Data Science Institute (DSI), Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BioStat), Hasselt University, Hasselt, Belgium.; Geroldinger M

Subjects: Models, Statistical* ; Rare Diseases*; Humans

• Source: Biometrics [Biometrics] 2023 Dec; Vol. 79 (4), pp. 3998-4011. Date of Electronic Publication: 2023 Aug 16.Publisher: Oxford University Press Country of Publication: England NLM ID: 0370625 Publication Model: Print-Electronic Cited

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Small-sample inference for cluster-based outcome-dependent sampling schemes in resource-limited settings: Investigating low birthweight in Rwanda.

• Authors : Sauer S; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.; Hedt-Gauthier B

Subjects: Birth Weight*; Bias ; Computer Simulation

• Source: Biometrics [Biometrics] 2022 Jun; Vol. 78 (2), pp. 701-715. Date of Electronic Publication: 2021 Jan 28.Publisher: Oxford University Press Country of Publication: England NLM ID: 0370625 Publication Model: Print-Electronic Cited

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Enhancing discoveries of molecular QTL studies with small sample size using summary statistic imputation.

• Authors : Wang T; School of Computer Science, Northwestern Polytechnical University, 1 Dongxiang Rd, 710129, Xi'an, China.; Key Laboratory of Big Data Storage and Management, Ministry of Industry and Information Technology, Northwestern Polytechnical University, 1 Dongxiang Rd, 710129, Xi'an, China.

Subjects: Genome-Wide Association Study*/Genome-Wide Association Study*/Genome-Wide Association Study*/methods ; Quantitative Trait Loci*; Genotype

• Source: Briefings in bioinformatics [Brief Bioinform] 2022 Jan 17; Vol. 23 (1).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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Correction to: Enhancing discoveries of molecular QTL studies with small sample size using summary statistic imputation.

• Authors : Wang T; School of Computer Science, Northwestern Polytechnical University, 1 Dongxiang Rd, 710129, Xi'an, China.; Key Laboratory of Big Data Storage and Management, Ministry of Industry and Information Technology, Northwestern Polytechnical University, 1 Dongxiang Rd, 710129, Xi'an, China.

• Source: Briefings in bioinformatics [Brief Bioinform] 2022 May 13; Vol. 23 (3).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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Significance tests for analyzing gene expression data with small sample sizes

• Authors : Ullah, Insha; Paul, Sudhir; Hong, Zhenjie

Subjects: Contribution to Journal

• Source: Bioinformatics

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Haematological and biochemical reference intervals for wild green turtles (Chelonia mydas): a Bayesian approach for small sample sizes

• Authors : Kophamel, Sara; Rudd, Donna; Ward, Leigh C.

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Determination of Morphine, Fentanyl and Their Metabolites in Small Sample Volumes Using Liquid Chromatography Tandem Mass Spectrometry.

• Authors : Gleba J; Department of Pharmaceutical Sciences, Northeastern University, 360 Huntington Avenue, 148TF, Boston, 02115 MA, USA.; Kim J

Subjects: Substance Abuse Detection*; Fentanyl/Fentanyl/Fentanyl/*analysis ; Morphine/Morphine/Morphine/*analysis

• Source: Journal of analytical toxicology [J Anal Toxicol] 2020 May 18; Vol. 44 (4), pp. 325-330.Publisher: Oxford University Press Country of Publication: England NLM ID: 7705085 Publication Model: Print Cited Medium:

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Reader reaction on the fast small-sample kernel independence test for microbiome community-level association analysis.

• Authors : Guo B; Division of Biostatistics, School of Public Health University of Minnesota, Minneapolis, Minnesota, U.S.A.; Wu B

Subjects: Models, Statistical*; Microbiota/Microbiota/Microbiota/*genetics; Ecology

• Source: Biometrics [Biometrics] 2018 Sep; Vol. 74 (3), pp. 1120-1124. Date of Electronic Publication: 2017 Nov 29.Publisher: Oxford University Press Country of Publication: England NLM ID: 0370625 Publication Model: Print-Electronic Cited

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