These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
311 related articles for article (PubMed ID: 20074371)
1. The problem of pseudoreplication in neuroscientific studies: is it affecting your analysis? Lazic SE BMC Neurosci; 2010 Jan; 11():5. PubMed ID: 20074371 [TBL] [Abstract][Full Text] [Related]
2. Don't let spurious accusations of pseudoreplication limit our ability to learn from natural experiments (and other messy kinds of ecological monitoring). Davies GM; Gray A Ecol Evol; 2015 Nov; 5(22):5295-5304. PubMed ID: 30151132 [TBL] [Abstract][Full Text] [Related]
3. [Pseudoreplication in ecological research: the problem overlooked by Russian scientists]. Kozlov MV Zh Obshch Biol; 2003; 64(4):292-307. PubMed ID: 14524226 [TBL] [Abstract][Full Text] [Related]
8. Mathematical methods in medicine: neuroscience, cardiology and pathology. Amigó JM; Small M Philos Trans A Math Phys Eng Sci; 2017 Jun; 375(2096):. PubMed ID: 28507240 [TBL] [Abstract][Full Text] [Related]
9. Using Biological Insight and Pragmatism When Thinking about Pseudoreplication. Colegrave N; Ruxton GD Trends Ecol Evol; 2018 Jan; 33(1):28-35. PubMed ID: 29122382 [TBL] [Abstract][Full Text] [Related]
10. Pseudoreplication is (still) a problem. Freeberg TM; Lucas JR J Comp Psychol; 2009 Nov; 123(4):450-1. PubMed ID: 19929114 [TBL] [Abstract][Full Text] [Related]
11. Great challenges with few subjects: statistical strategies for neuroscientists. Nakagawa S; Hauber ME Neurosci Biobehav Rev; 2011 Jan; 35(3):462-73. PubMed ID: 20600287 [TBL] [Abstract][Full Text] [Related]
12. An entomologist guide to demystify pseudoreplication: data analysis of field studies with design constraints. Chaves LF J Med Entomol; 2010 May; 47(3):291-8. PubMed ID: 20496574 [TBL] [Abstract][Full Text] [Related]
13. Mixed Models Offer No Freedom from Degrees of Freedom. Arnqvist G Trends Ecol Evol; 2020 Apr; 35(4):329-335. PubMed ID: 31982147 [TBL] [Abstract][Full Text] [Related]
14. A Bayesian predictive approach for dealing with pseudoreplication. Lazic SE; Mellor JR; Ashby MC; Munafo MR Sci Rep; 2020 Feb; 10(1):2366. PubMed ID: 32047274 [TBL] [Abstract][Full Text] [Related]
15. Changing requirements and resulting needs for IT-infrastructure for longitudinal research in the neurosciences. Buckow K; Quade M; Rienhoff O; Nussbeck SY Neurosci Res; 2016 Jan; 102():22-8. PubMed ID: 25152316 [TBL] [Abstract][Full Text] [Related]
16. A solution to dependency: using multilevel analysis to accommodate nested data. Aarts E; Verhage M; Veenvliet JV; Dolan CV; van der Sluis S Nat Neurosci; 2014 Apr; 17(4):491-6. PubMed ID: 24671065 [TBL] [Abstract][Full Text] [Related]
17. Advances in microfluidics-based experimental methods for neuroscience research. Park JW; Kim HJ; Kang MW; Jeon NL Lab Chip; 2013 Feb; 13(4):509-21. PubMed ID: 23306275 [TBL] [Abstract][Full Text] [Related]
18. Once an island, now the focus of attention. Craig AD Brain Struct Funct; 2010 Jun; 214(5-6):395-6. PubMed ID: 20512362 [No Abstract] [Full Text] [Related]
19. Beyond t test and ANOVA: applications of mixed-effects models for more rigorous statistical analysis in neuroscience research. Yu Z; Guindani M; Grieco SF; Chen L; Holmes TC; Xu X Neuron; 2022 Jan; 110(1):21-35. PubMed ID: 34784504 [TBL] [Abstract][Full Text] [Related]
20. Power-up: A Reanalysis of 'Power Failure' in Neuroscience Using Mixture Modeling. Nord CL; Valton V; Wood J; Roiser JP J Neurosci; 2017 Aug; 37(34):8051-8061. PubMed ID: 28706080 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]