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Why we should use simpler models if the data allow this: relevance for ANOVA designs in experimental biology.

Lazic SE.

BMC Physiol. 2008 Jul 21;8:16.PMID: 18644134 [PubMed - indexed for MEDLINE]Related articlesFree article

Experimental personality designs: analyzing categorical by continuous variable interactions.

West SG, Aiken LS, Krull JL.

J Pers. 1996 Mar;64(1):1-48.PMID: 8656311 [PubMed - indexed for MEDLINE]Related articles

Regression analysis of biomedical research data based on a repeated measure or cluster sample.

Lee J, Chia KS, Lee HP.

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Differential effects of caffeine on the antidepressant-like effect of amitriptyline in female rat subpopulations with low and high immobility in the forced swimming test.

Enríquez-Castillo A, Alamilla J, Barral J, Gourbière S, Flores-Serrano AG, Góngora-Alfaro JL, Pineda JC.

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Good statistical practice in pharmacology. Problem 2.

Lew M.

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[Categorizing variables in the statistical analysis of data: consequences for interpreting the results]

Cumsille F, Bangdiwala SI.

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Mouse strain differences in immobility and sensitivity to fluvoxamine and desipramine in the forced swimming test: analysis of serotonin and noradrenaline transporter binding.

Sugimoto Y, Kajiwara Y, Hirano K, Yamada S, Tagawa N, Kobayashi Y, Hotta Y, Yamada J.

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Fluoxetine inhibits cortical spreading depression in weaned and adult rats suckled under favorable and unfavorable lactation conditions.

dos Santos AA, Pinheiro PC, de Lima DS, Ozias MG, de Oliveira MB, Guimarães NX, Guedes RC.

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Sequential analysis of latent variables using mixed-effect latent variable models: Impact of non-informative and informative missing data.

Sébille V, Hardouin JB, Mesbah M.

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Overcoming feelings of powerlessness in "aging" researchers: a primer on statistical power in analysis of variance designs.

Levin JR.

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Optimal design for dose response using beta distributed responses.

Wu Y, Fedorov VV, Propert KJ.

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Statistical methodology: IV. Analysis of variance, analysis of covariance, and multivariate analysis of variance.

Gaddis ML.

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A general approach to simultaneous model fitting and variable elimination in response models for biological data with many more variables than observations.

Kiiveri HT.

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Inter-individual differences in novelty-seeking behavior in rats predict differential responses to desipramine in the forced swim test.

Jama A, Cecchi M, Calvo N, Watson SJ, Akil H.

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Cortisol level in men with major depressive disorder treated with fluoxetine or imipramine.

Piwowarska J, Dryll K, Szelenberger W, Pachecka J.

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Role of ancillary variables in the design, analysis, and interpretation of animal experiments.

Gaines Das RE.

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[Common errors in analysis of the relationship between variables]

Moczko JA.

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Comparison of time-dependent effects of (+)-methamphetamine or forced swim on monoamines, corticosterone, glucose, creatine, and creatinine in rats.

Herring NR, Schaefer TL, Tang PH, Skelton MR, Lucot JP, Gudelsky GA, Vorhees CV, Williams MT.

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A new approach to the analysis of analgesic drug trials, illustrated with bromfenac data.

Sheiner LB.

Clin Pharmacol Ther. 1994 Sep;56(3):309-22.PMID: 7924127 [PubMed - indexed for MEDLINE]Related articles

The application of analysis of variance (ANOVA) to different experimental designs in optometry.

Armstrong RA, Eperjesi F, Gilmartin B.

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