Recent papers and preprints

(2019). Reducing meat consumption by appealing to animal welfare: Protocol for a meta-analysis and theoretical review. Under review.

Preprint

(2019). Estimating publication bias in meta-analyses: A meta-meta-analysis across disciplines and journal tiers. Under review.

Preprint

(2019). A simple, interpretable conversion from Pearson’s correlation to Cohen’s d for continuous exposures. Epidemiology.

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(2019). Challenges and suggestions for defining replication "success" when effects may be heterogeneous: Comment on Hedges and Schauer (2019). Psychological Methods.

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(2019). Finding common ground in meta-analysis "wars" on violent video games. Perspectives on Psychological Science.

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(2019). Uncanny but not confusing: Multisite study of perceptual category confusion in the Uncanny Valley. Computers in Human Behavior.

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(2019). Sensitivity analysis for publication bias in meta-analyses. Under review.

Preprint

(2018). New statistical metrics for multisite replication projects. Under review.

Preprint

Software

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All R Stata GUIs Statistics Psychology

Software in R, Javascript, and Qualtrics to design and analyze psychology experiments that use fine-grained mouse-tracking measures of perceptual category competition.

Conducts sensitivity analysis for publication bias in meta-analyses.

Contains functions to estimate the proportion of effects stronger than a threshold of scientific importance, to make effect size conversions, and to compute and format estimates and inference.

Conducts sensitivity analysis for unmeasured confounding for observational studies and meta-analysis, and conducts analogous sensitivity analyses for selection bias.

Calculates the E-value, a measure of sensitivity to unmeasured confounding.

Calculates the E-value, a measure of sensitivity to unmeasured confounding.

Computes metrics of outcome-wide evidence strength for studies testing multiple correlated outcomes.

Conducts statistical analyses for multisite replication projects.

Simulates a longitudinal dataset with time-varying covariates with user-specified correlation structure.