SuperPlots: Communicating reproducibility and variability in cell biology

A Bayesian predictive approach for dealing with pseudoreplication

(2020) Stanley E. Lazic et al.   Scientific Reports

Empowering statistical methods for cellular and molecular biologists

(2019) Daniel A. Pollard et al.   MOLECULAR BIOLOGY OF THE CELL

What exactly is ‘N’ in cell culture and animal experiments?

(2018) Stanley E. Lazic et al.   PLOS BIOLOGY

Data visualization, bar naked: A free tool for creating interactive graphics

(2017) Tracey L. Weissgerber et al.   JOURNAL OF BIOLOGICAL CHEMISTRY

Multilevel analysis quantifies variation in the experimental effect while optimizing power and preventing false positives

(2015) Emmeke Aarts et al.   BMC NEUROSCIENCE

Sources of variation

(2015) Naomi Altman et al.   NATURE METHODS

Criteria for biological reproducibility: What does “n” mean?

(2015) Kristen Naegle et al.   Science Signaling

Beyond Bar and Line Graphs: Time for a New Data Presentation Paradigm

(2015) Tracey L. Weissgerber et al.   PLOS BIOLOGY

Criteria for biological reproducibility: What does “n” mean?

(2015) Kristen Naegle et al.   Science Signaling

Nested designs

(2014) Martin Krzywinski et al.   NATURE METHODS

Replication

(2014) Paul Blainey et al.   NATURE METHODS

Replicates and repeats—what is the difference and is it significant?

(2012) David L Vaux et al.   EMBO REPORTS

The problem of pseudoreplication in neuroscientific studies: is it affecting your analysis?

(2010) Stanley E Lazic   BMC NEUROSCIENCE

A Study of Clustered Data and Approaches to Its Analysis

(2010) S. Galbraith et al.   JOURNAL OF NEUROSCIENCE

t Testing the Immune System

(2008) Tracey J. Lamb et al.   IMMUNITY