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Jacob M. Schauer

Assistant Professor

Feinberg School of Medicine, Northwestern University

Biography

Jake Schauer is an Assistant Professor of Preventive Medicine at Northwestern University’s Feinberg School of Medicine. His research interests include methods for studying replication, modern advances in meta-analysis, approaches to missing data, and data privacy.

Interests

  • Replication
  • Meta-analysis
  • Data science
  • Data privacy

Education

  • PhD in Statistics, 2018

    Northwestern University

  • BS in Mathematics, English, 2007

    Western Michigan University

Projects

Methods for Studying Replication

The proper way to design and analyze replication studies is still an open question for much of science.

Missing Data in Meta-Analysis

Meta-regression is an important tool that can help highlight where and why an intervention may work. However, anyone who has tried to …

Recent Publications

The effects of microsuppression on state education data quality

States often turn to a data masking procedure called microsuppression in order to reduce the risk of disclosing student records when …

Reconsidering statistical methods for assessing replication

Recent empirical evaluations of replication in psychology have reported startlingly few successful replication attempts. At the same …

Assessing heterogeneity and power in replications of psychological experiments

In this study, we reanalyze recent empirical research on replication from a meta-analytic perspective. We argue that there are …

Consistency of effects is important in replication

In this rejoinder, we discuss Mathur and VanderWeele’s response to our article, “Statistical Analyses for Studying …

More than one replication study is needed for unambiguous tests of replication

The problem of assessing whether experimental results can be replicated is becoming increasingly important in many areas of science. It …

Statistical analyses for studying replication: Meta-analytic perspectives

Formal empirical assessments of replication have recently become more prominent in several areas of science, including psychology. …

Randomised trials in education in the USA

Background and purpose: Studies of education and learning that were described as experiments have been carried out in the USA by …

An evaluation of statistical methods for aggregate patterns of replication failure

Several programs of research have sought to assess the replicability of scientific findings in different fields, including economics …

Exploratory analyses for missing data in meta-analyses

OBJECTIVES: In this tutorial, we examine methods for exploring missingness in a dataset in ways that can help identify the sources and …

The design of replication studies

Empirical evaluations of replication have become increasingly common, ranging from systematic attempts of one-off replications (e.g., …

Papers in Progress

On the accuracy of replication failure rates

A prominent approach to studying the replication crisis has been to conduct replications of several different scientific findings as …

Talks

Assessing replication: Lessons from empirical research and applied statistics

Given how important replication is to the logic and rhetoric of science, one would expect a standard approach to designing and …

Challenges for imputing missing covariates in meta-regression

A common issue in meta-regression is that for some effects, certain covariates may not be collected or reported. Precisely how to …

Assessing replication: Lessons for education science

Given how important replication is to the logic and rhetoric of science, one would expect a standard ap- proach to designing and …

Replication in education science

Since experiments in education often sample from different populations and treatment fidelity can fluctuate, it would seem inevitable …

Suspect research and statistical inference

Especially over the past two decades, the emphasis in education has been to implement policy backed by rigorous research. During that …

Contact

My dog, Woodhouse, will sometimes join in on office hours. He doesn’t know anything about statistics, but he likes people.