'Bonferroni correction' presentation slideshows

Genetic Variations Resources May 15, 2013

Genetic Variations Resources May 15, 2013. Ansuman Chattopadhyay , PhD, Head Molecular Biology Information Service Health Sciences Library System University of Pittsburgh ansuman@pitt.edu http://www.hsls.pitt.edu/guides/genetics. Objective. Human genetic variations

1.52k views • 128 slides

Significance Testing of High-Throughput Data

Significance Testing of High-Throughput Data. CSHL Data Analysis 2012 Mark Reimers. Goals of Testing High-Throughput Data. To identify those genes most likely changed To prioritize candidates for focused follow-up studies

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Statistical considerations for grants

Statistical considerations for grants. Brian Healy. Comments from previous class. Change time of course Available on-line power calculators http://www.cs.uiowa.edu/~rlenth/Power/ Two-sided vs. one-sided Comparison of statistical packages. Review. Type I error Type II error

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POLYMORPHISM AND VARIANT ANALYSIS

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Lecture III: Interpreting genomic information for clinical care

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Multiple comparisons in M/EEG analysis

Multiple comparisons in M/EEG analysis. Gareth Barnes Wellcome Trust Centre for Neuroimaging University College London. SPM M/EEG Course London, May 2013. Format. What problem ?- multiple comparisons and post-hoc testing. Some possible solutions Random field theory. Random

548 views • 37 slides

Biostatistics in Practice

Biostatistics in Practice. Session 6: Data and Analyses: Too Little or Too Much. Youngju Pak Biostatistician http://research.LABioMed.org/Biostat. Too Little or Too Much: Data . Too Little Too few subjects: study not sufficiently powered (Session 4)

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Compound Set Enrichment

Compound Set Enrichment. A novel approach to analysis of primary HTS data. Thibault Varin. Ansgar Schuffenhauer. Gubler, H., Parker, C., Zhang, JH., Raman, P., Ertl, P. Compound Set Enrichment. INTRODUCTION. Introduction.

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Basic Statistical Analysis of Array Data

Basic Statistical Analysis of Array Data. SPH 247 Statistical Analysis of Laboratory Data. Fitting a model to genes. We can fit a model to the data of each gene after the whole arrays have been background corrected, transformed, and normalized

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Extending the Spectrum Idea: Child Personality, Parenting and Psychopathology

Extending the Spectrum Idea: Child Personality, Parenting and Psychopathology. Karla Van Leeuwen, Ivan Mervielde, Barbara De Clercq, Filip De Fruyt Ghent University, Belgium. Introduction. Differences between normal and abnormal or clinical samples: qualitative or quantitative?

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Parametric & Nonparametric Models for Within-Groups Comparisons

Parametric & Nonparametric Models for Within-Groups Comparisons. overview X 2 tests parametric & nonparametric stats Mann-Whitney U-test Kruskal-Wallis test Median test. Statistics We Will Consider Parametric Nonparametric DV Categorical Interval/ND Ordinal/~ND

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Bonferonni correction+

Bonferonni correction+. Adapted from presentation of ????????? ?.?. 1000 people guessed the sequence of 10 cards: red or black ?. 12 persons guessed 9 of 10 cards, two of them all 10 cards. Experiments in finding people with paranormal powers : Joseph Rhine (1950).

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