A5063079579- Statistical Methods and Bayesian Inference
- Mental Health Research Topics
- Meta-analysis and systematic reviews
- Statistical Methods in Clinical Trials
- Decision-Making and Behavioral Economics
- Neural and Behavioral Psychology Studies
- Bayesian Modeling and Causal Inference
- Advanced Statistical Methods and Models
- Forecasting Techniques and Applications
- Statistical Methods and Inference
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Behavioral Health and Interventions
- Philosophy and History of Science
- Optimal Experimental Design Methods
- Bayesian Methods and Mixture Models
- scientometrics and bibliometrics research
- Scientific Computing and Data Management
- Cognitive Science and Mapping
- Statistics Education and Methodologies
- Data Analysis with R
- Economic and Environmental Valuation
- Sensory Analysis and Statistical Methods
- Advanced Statistical Process Monitoring
- Advanced Causal Inference Techniques
University of Amsterdam
2016-2025
Hologic (Germany)
2019-2024
Centrum Wiskunde & Informatica
2017-2023
Amsterdam University of the Arts
2010-2023
University of Groningen
2013-2018
Utrecht University
2018
Institute of Psychology
2018
UC Irvine Health
2017
Google (United States)
2017
University of Michigan
2016
Abstract Improving the reliability and efficiency of scientific research will increase credibility published literature accelerate discovery. Here we argue for adoption measures to optimize key elements process: methods, reporting dissemination, reproducibility, evaluation incentives. There is some evidence from both simulations empirical studies supporting likely effectiveness these measures, but their broad by researchers, institutions, funders journals require iterative improvement. We...
Author guidelines for journals could help to promote transparency, openness, and reproducibility
Bayesian hypothesis testing presents an attractive alternative to p value testing. Part I of this series outlined several advantages testing, including the ability quantify evidence and monitor update as data come in, without need know intention with which were collected. Despite these other practical advantages, tests are still reported relatively rarely. An important impediment widespread adoption is arguably lack user-friendly software for run-of-the-mill statistical problems that...
Bayesian parameter estimation and hypothesis testing present attractive alternatives to classical inference using confidence intervals p values. In part I of this series we outline ten prominent advantages the approach. Many these translate concrete opportunities for pragmatic researchers. For instance, allows researchers quantify evidence monitor its progression as data come in, without needing know intention with which were collected. We end by countering several objections testing. Part...
The veracity of substantive research claims hinges on the way experimental data are collected and analyzed. In this article, we discuss an uncomfortable fact that threatens core psychology's academic enterprise: almost without exception, psychologists do not commit themselves to a method analysis before they see actual data. It then becomes tempting fine tune in order obtain desired result-a procedure invalidates interpretation common statistical tests. extent tuning varies widely across...
Does psi exist? D. J. Bem (2011) conducted 9 studies with over 1,000 participants in an attempt to demonstrate that future events retroactively affect people's responses. Here we discuss several limitations of Bem's experiments on psi; particular, show the data analysis was partly exploratory and one-sided p values may overstate statistical evidence against null hypothesis. We reanalyze a default Bayesian t test for is weak nonexistent. argue order convince skeptical audience controversial...
Abstract Despite the increasing popularity of Bayesian inference in empirical research, few practical guidelines provide detailed recommendations for how to apply procedures and interpret results. Here we offer specific four different stages statistical reasoning a research setting: planning analysis, executing interpreting results, reporting The each stage are illustrated with running example. Although geared towards analyses performed open-source software JASP, most extend general.
Response inhibition is an important act of control in many domains psychology and neuroscience.It often studied a stop-signal task that requires subjects to inhibit ongoing action response stop signal.Performance the understood as race between go process underlies inhibits action.Responses are inhibited if finishes before process.The finishing time not directly observable; mathematical model required estimate its duration.Logan Cowan (1984) developed independent widely used for this...
Twenty-nine teams involving 61 analysts used the same data set to address research question: whether soccer referees are more likely give red cards dark-skin-toned players than light-skin-toned players. Analytic approaches varied widely across teams, and estimated effect sizes ranged from 0.89 2.93 ( Mdn = 1.31) in odds-ratio units. Twenty (69%) found a statistically significant positive effect, 9 (31%) did not observe relationship. Overall, 29 different analyses 21 unique combinations of...
This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear regression models, and analyses of contingency tables. JASP is open-source differentiates itself from existing solutions in two ways. First, provides several innovations user interface design; specifically, results are provided immediately the makes changes to options, output attractive, minimalist, designed around principle progressive disclosure, can be peer...
Human decision-making almost always takes place under time pressure. When people are engaged in activities such as shopping, driving, or playing chess, they have to continually balance the demands for fast decisions against accurate decisions. In cognitive sciences, this is thought be modulated by a response threshold, neural substrate of which currently subject speculation. speed experiment, we presented participants with cues that indicated different requirements speed. Application...
A sizeable literature exists on the use of frequentist power analysis in null-hypothesis significance testing (NHST) paradigm to facilitate design informative experiments. In contrast, there is almost no that discusses experiments when Bayes factors (BFs) are used as a measure evidence. Here we explore Factor Design Analysis (BFDA) useful tool studies for maximum efficiency and informativeness. We elaborate three possible BF designs, (a) fixed-n design, (b) an open-ended Sequential (SBF)...