Literature DB >> 1557567

Residual plots for repeated measures.

R E Weiss1, C G Lazaro.   

Abstract

Multivariate data are difficult to analyse partly because of difficulty in looking at the data. Repeated measures data have a special structure that makes the parallel plot particularly effective for viewing the data. In this paper we use parallel plots to display not just raw data but also residuals from standard models fit to repeated measures data. The plots are useful for determining how well a particular model fits the data, identifying outlying observations and suggesting terms missing from the linear predictor.

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Year:  1992        PMID: 1557567     DOI: 10.1002/sim.4780110110

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  2 in total

1.  Outliers and Influential Observations in Exponential Random Graph Models.

Authors:  Johan Koskinen; Peng Wang; Garry Robins; Philippa Pattison
Journal:  Psychometrika       Date:  2018-09-18       Impact factor: 2.500

2.  Multivariate Longitudinal Modeling of Macular Ganglion Cell Complex: Spatiotemporal Correlations and Patterns of Longitudinal Change.

Authors:  Vahid Mohammadzadeh; Erica Su; Lynn Shi; Anne L Coleman; Simon K Law; Joseph Caprioli; Robert E Weiss; Kouros Nouri-Mahdavi
Journal:  Ophthalmol Sci       Date:  2022-06-16
  2 in total

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