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- Conditional Equivalence Testing: an Alternative Remedy for Publication Bias
- Possible Solution to Publication Bias Through Bayesian Statistics, Including Proper Null Hypothesis Testing Elly A. Konijn1
- Non-Inferiority Approaches to Parallel Trends and Other Model Assumptions∗
- Are Null Results Becoming an Endangered Species in Marketing?
- Techniques and Solutions for Sample Size Determination in Psychology: a Critical Review
- American Phytopathological Society Pacific Division Meeting June 25-27, 2019
- PEER REVIEW HISTORY BMJ Open Publishes All Reviews
- The Costs and Benefits of Liquidity Regulations
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- The Null Hypothesis Significance Test in Health Sciences Research (1995-2006): Statistical Analysis and Interpretation
- Replicability of Experiment*
- Are Null Results Becoming an Endangered Species in Marketing?
- Bias Analysis to Guide New Data Collection
- Debunking Myths and Urban Legends About Meta-Analysis
- A Critical Review and Meta-Analysis of The
- A Replication Plan for “Universal Test and Treat and the HIV Epidemic in Rural South Africa: a Phase 4, Open-Label, Community Cluster Randomized Trial”
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- Understanding the Need for Non-Interventional Studies Using
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- Transparency, Reproducibility, and the Credibility of Economics Research
- HMOX1 Genetic Polymorphisms and Outcomes in Infectious Disease
- Null-Hacking, a Lurking Problem John Protzko University of California, Santa Barbara
- Open Science Collaboration1
- Common Data Model Harmonization (CDMH) and Open Standards for Evidence Generation
- Accumulation Bias in Meta-Analysis: the Need to Consider in Time Error
- Running Head: NON-SIGNIFICANT RESULTS in GERONTOLOGICAL PSYCHOLOGY 1 This Manuscript Has Been Accepted for Publication in Journa
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- A Framework for Learning from Null Results Robin T
- Analyzing the Relationship of Leishmania Chagasi And
- Expectancy Effects in Synchrony Research 1
- Accumulation Bias in Meta-Analysis: the Need to Consider Time in Error Control [Version 1; Peer Review: 2 Approved]
- Good Study Design and Analysis Plans As Features of Ethical Clinical Research
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