This is a commentary on Lee et al.’s (2019) article encouraging preregistration of model development, fitting, and evaluation. While we are in general agreement with Lee et al.’s characterization of the modeling process, we disagree on whether …
Randomized controlled trials (RCTs) are designed to answer causal questions with internal validity. However, threats to internal validity exist for even well-designed RCTs. In this article, we focus on how preregistration can help address some …
Preregistration has been lauded as one of the solutions to the so-called ‘crisis of confidence’ in the social sciences and has therefore gained popularity in recent years. However, the current guidelines for preregistration have been developed …
Preregistration of research plans is becoming an increasingly popular and common tool to enhance the transparency of a study’s methodology. In a preregistration, researchers document their research plans and register them to a public repository prior …
A recent workshop focused on the idea that protocols for nonrandomized studies should be registered in advance of their conduct. In reviewing the workshop report and publications citing it, I note a number of unfounded assumptions and little …
In last month’s column, I worried about whether encouraging us to preregister our hypotheses and analysis plan before running studies would stifle discovery. I came to the conclusion that it needn’t — but that we need to guard against letting the …
Purpose: In the last decade, psychology and other sciences have implemented numerous reforms to improve the robustness of our research, many of which are based on increasing transparency throughout the research process. Among these reforms is the …
Preregistration is a tool to enhance the reliability of science that has been promoted as a normative requirement for the award of grants or the acceptance of publications. I argue that: (a) preregistration addresses an important need, (b) it offers …
The purpose of this paper is to help think through the advantages and costs of rigorous pre-specification of statistical analysis plans in economics. A pre-analysis plan pre-specifies in a precise way the analysis to be run before examining the data. …
Objectives
The ultimate goal of biomedical research is the development of new treatment options for patients. Animal models are used if questions cannot be addressed otherwise. Currently, it is widely believed that a large fraction of performed …