Beyond t test and ANOVA: applications of mixed-effects models for more rigorous statistical analysis in neuroscience research
出版年份 2021 全文链接
标题
Beyond t test and ANOVA: applications of mixed-effects models for more rigorous statistical analysis in neuroscience research
作者
关键词
clustered data, repeated measures, linear regression model, linear mixed-effects model, generalized linear mixed-effects model, Bayesian analysis
出版物
NEURON
Volume 110, Issue 1, Pages 21-35
出版商
Elsevier BV
发表日期
2021-11-15
DOI
10.1016/j.neuron.2021.10.030
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Subanesthetic Ketamine Reactivates Adult Cortical Plasticity to Restore Vision from Amblyopia
- (2020) Steven F. Grieco et al. CURRENT BIOLOGY
- A comparison of neuronal population dynamics measured with calcium imaging and electrophysiology
- (2020) Ziqiang Wei et al. PLoS Computational Biology
- Three Recommendations for Improving the Use of p-Values
- (2019) Daniel J. Benjamin et al. AMERICAN STATISTICIAN
- What exactly is ‘N’ in cell culture and animal experiments?
- (2018) Stanley E. Lazic et al. PLOS BIOLOGY
- On p-Values and Bayes Factors
- (2018) Leonhard Held et al. Annual Review of Statistics and Its Application
- Balancing Type I error and power in linear mixed models
- (2017) Hannes Matuschek et al. JOURNAL OF MEMORY AND LANGUAGE
- Valid statistical approaches for analyzing sholl data: Mixed effects versus simple linear models
- (2017) Machelle D. Wilson et al. JOURNAL OF NEUROSCIENCE METHODS
- The ASA's Statement onp-Values: Context, Process, and Purpose
- (2016) Ronald L. Wasserstein et al. AMERICAN STATISTICIAN
- The anova to mixed model transition
- (2016) Matthieu P. Boisgontier et al. NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
- SIMR: an R package for power analysis of generalized linear mixed models by simulation
- (2016) Peter Green et al. Methods in Ecology and Evolution
- A rank-sum test for clustered data when the number of subjects in a group within a cluster is informative
- (2015) Sandipan Dutta et al. BIOMETRICS
- The Economics of Reproducibility in Preclinical Research
- (2015) Leonard P. Freedman et al. PLOS BIOLOGY
- The National Institutes of Health's Big Data to Knowledge (BD2K) initiative: capitalizing on biomedical big data
- (2014) Ronald Margolis et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Biomedical research: increasing value, reducing waste
- (2014) Malcolm R Macleod et al. LANCET
- A solution to dependency: using multilevel analysis to accommodate nested data
- (2014) Emmeke Aarts et al. NATURE NEUROSCIENCE
- Rigor or Mortis: Best Practices for Preclinical Research in Neuroscience
- (2014) Oswald Steward et al. NEURON
- Rescuing US biomedical research from its systemic flaws
- (2014) B. Alberts et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Random effects structure for confirmatory hypothesis testing: Keep it maximal
- (2013) Dale J. Barr et al. JOURNAL OF MEMORY AND LANGUAGE
- Split Hamiltonian Monte Carlo
- (2013) Babak Shahbaba et al. STATISTICS AND COMPUTING
- A call for transparent reporting to optimize the predictive value of preclinical research
- (2012) Story C. Landis et al. NATURE
- Believe it or not: how much can we rely on published data on potential drug targets?
- (2011) Florian Prinz et al. NATURE REVIEWS DRUG DISCOVERY
- A Study of Clustered Data and Approaches to Its Analysis
- (2010) S. Galbraith et al. JOURNAL OF NEUROSCIENCE
- Bayesian inference for generalized linear mixed models
- (2009) Y. Fong et al. BIOSTATISTICS
- Survey of the Quality of Experimental Design, Statistical Analysis and Reporting of Research Using Animals
- (2009) Carol Kilkenny et al. PLoS One
- Generalized linear mixed models: a practical guide for ecology and evolution
- (2009) Benjamin M. Bolker et al. TRENDS IN ECOLOGY & EVOLUTION
- Mixed-effects modeling with crossed random effects for subjects and items
- (2008) R.H. Baayen et al. JOURNAL OF MEMORY AND LANGUAGE
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