Author

Jeffrey T. Leek

Primary ORCID profile (0000-0002-2873-2671 · 15 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Jeffrey T. LeekiD15 papers · Johns Hopkins University

Biology Disciplines

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Scientific Communication & Education· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Prasad Patil· 2 shared Leah R. Jager· 1 shared Leslie Myint· 1 shared Michael Rosenblum· 1 shared Roger D. Peng· 1 shared

Activity by Year

2015-2017 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 3 mutual co-author links

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2 shared papersScientific Communication & Education

Prasad Patil

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3 papers

Recent·Most cited

Scientific Communication & EducationbioRxivPreprintNov 13, 2017

Explanation implies causation?

Leslie Myint, Jeffrey T. Leek, Leah R. Jager

The paper shows that explaining statistical results in data analysis leads readers to interpret them as causal, even when no causal claim is made.

DOI 10.1101/218784

experimental assay

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Scientific Communication & EducationbioRxivPreprintJul 29, 2016

A statistical definition for reproducibility and replicability

Prasad Patil, Roger D. Peng, Jeffrey T. Leek

The paper defines reproducibility and replicability in scientific studies to address confusion in their usage across fields.

DOI 10.1101/066803

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BioinformaticsbioRxivPreprintApr 16, 2015

Measuring the Contribution of Genomic Predictors to Improving Estimator Precision in Randomized trials

Prasad Patil, Michael Rosenblum, Jeffrey T. Leek

The paper evaluates how genomic data improve estimator precision in randomized trials using a simulation study with breast cancer data, finding combined clinical and genomic adjustments yield modest additional gains.

DOI 10.1101/018168

humanwhole-exome sequencing

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