When to adjust alpha during multiple testing: a consideration of disjunction, conjunction, and individual testing
出版年份 2021 全文链接
标题
When to adjust alpha during multiple testing: a consideration of disjunction, conjunction, and individual testing
作者
关键词
-
出版物
SYNTHESE
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-07-06
DOI
10.1007/s11229-021-03276-4
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Dataset decay and the problem of sequential analyses on open datasets
- (2020) William Hedley Thompson et al. eLife
- Non-adjustment for multiple testing in multi-arm trials of distinct treatments: Rationale and justification
- (2020) Richard A Parker et al. Clinical Trials
- Analysis goals, error‐cost sensitivity, and analysis hacking: Essential considerations in hypothesis testing and multiple comparisons
- (2020) Sander Greenland PAEDIATRIC AND PERINATAL EPIDEMIOLOGY
- What type of Type I error? Contrasting the Neyman–Pearson and Fisherian approaches in the context of exact and direct replications
- (2019) Mark Rubin SYNTHESE
- Preregistration Is Hard, And Worthwhile
- (2019) Brian A. Nosek et al. TRENDS IN COGNITIVE SCIENCES
- Errors in Statistical Inference Under Model Misspecification: Evidence, Hypothesis Testing, and AIC
- (2019) Brian Dennis et al. Frontiers in Ecology and Evolution
- The Costs of HARKing
- (2019) Mark Rubin BRITISH JOURNAL FOR THE PHILOSOPHY OF SCIENCE
- Re-assessment of multiple testing strategies for more efficient genome-wide association studies
- (2018) Takahiro Otani et al. EUROPEAN JOURNAL OF HUMAN GENETICS
- Single step genome-wide association studies based on genotyping by sequence data reveals novel loci for the litter traits of domestic pigs
- (2018) Pingxian Wu et al. GENOMICS
- The preregistration revolution
- (2018) Brian A. Nosek et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- The performance of a new local false discovery rate method on tests of association between coronary artery disease (CAD) and genome-wide genetic variants
- (2017) Shuyan Mei et al. PLoS One
- Detecting and avoiding likely false-positive findings - a practical guide
- (2016) Wolfgang Forstmeier et al. BIOLOGICAL REVIEWS
- Non-parametric combination and related permutation tests for neuroimaging
- (2016) Anderson M. Winkler et al. HUMAN BRAIN MAPPING
- How to get statistically significant effects in any ERP experiment (and why you shouldn't)
- (2016) Steven J. Luck et al. PSYCHOPHYSIOLOGY
- What does research reproducibility mean?
- (2016) Steven N. Goodman et al. Science Translational Medicine
- Best (but oft-forgotten) practices: the multiple problems of multiplicity—whether and how to correct for many statistical tests
- (2015) David L Streiner AMERICAN JOURNAL OF CLINICAL NUTRITION
- P
- (2015) Anne-Sophie Jannot et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Multiplicity in confirmatory clinical trials: a case study with discussion from a JSM panel
- (2015) Sue-Jane Wang et al. STATISTICS IN MEDICINE
- False discovery rate control is a recommended alternative to Bonferroni-type adjustments in health studies
- (2014) Mark E. Glickman et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- When to use the Bonferroni correction
- (2014) Richard A. Armstrong OPHTHALMIC AND PHYSIOLOGICAL OPTICS
- Correcting for multiple-testing in multi-arm trials: is it necessary and is it done?
- (2014) James M S Wason et al. Trials
- Alcohol and drug use disorders among homeless veterans: Prevalence and association with supported housing outcomes
- (2013) Jack Tsai et al. ADDICTIVE BEHAVIORS
- Traditional multiplicity adjustment methods in clinical trials
- (2013) Alex Dmitrienko et al. STATISTICS IN MEDICINE
- Joint Hypothesis Testing and Gatekeeping Procedures for Studies with Multiple Endpoints
- (2012) Edward J. Mascha et al. ANESTHESIA AND ANALGESIA
- LOPSIDED REASONING ON LOPSIDED TESTS AND MULTIPLE COMPARISONS
- (2012) Stuart H. Hurlbert et al. AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS
- Sample sizes for trials involving multiple correlated must-win comparisons
- (2012) Steven A. Julious et al. PHARMACEUTICAL STATISTICS
- Setting an Optimal α That Minimizes Errors in Null Hypothesis Significance Tests
- (2012) Joseph F. Mudge et al. PLoS One
- What should the genome-wide significance threshold be? Empirical replication of borderline genetic associations
- (2011) Orestis A Panagiotou et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Challenges to multiple testing in clinical trials
- (2010) H. M. James Hung et al. BIOMETRICAL JOURNAL
- Method of balanced adjustment in testing co-primary endpoints
- (2010) George Kordzakhia et al. STATISTICS IN MEDICINE
- The principled control of false positives in neuroimaging
- (2009) Craig M. Bennett et al. Social Cognitive and Affective Neuroscience
- The Problem of Multiple Testing
- (2009) Kristin L. Sainani PM&R
- Simultaneous inference: When should hypothesis testing problems be combined?
- (2008) Bradley Efron Annals of Applied Statistics
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search