Evidence map›Paper›PMID 31073680›Full record

ArticleDer Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft2020

[Statistical analysis of correlated measurement data in ophthalmology : Tutorial for the application of the linear mixed model in SPSS and R using corneal biomechanical parameters].

R Herber, A Kaiser, X Grählert, U Range, F Raiskup, L E Pillunat, E Spörl

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In one paragraph

Article in Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Objective assessment of graft clarity and recurrence after penetrating keratoplasty for granular, lattice and macular corneal dystrophy using scheimpflug densitometry.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

R HerberKlinik und Poliklinik für Augenheilkunde, Medizinische Fakultät Carl Gustav Carus, TU Dresden, Fetscherstraße 74, 01307, Dresden, Deutschland. robert.herber@uniklinikum-dresden.de.
A KaiserKlinik und Poliklinik für Augenheilkunde, Medizinische Fakultät Carl Gustav Carus, TU Dresden, Fetscherstraße 74, 01307, Dresden, Deutschland.
X GrählertKoordinierungszentrum für Klinische Studien Dresden, Medizinische Fakultät Carl Gustav Carus, TU Dresden, Dresden, Deutschland.
U RangeInstitut für Medizinische Informatik und Biometrie, Medizinische Fakultät Carl Gustav Carus, TU Dresden, Dresden, Deutschland.
F RaiskupKlinik und Poliklinik für Augenheilkunde, Medizinische Fakultät Carl Gustav Carus, TU Dresden, Fetscherstraße 74, 01307, Dresden, Deutschland.
L E PillunatKlinik und Poliklinik für Augenheilkunde, Medizinische Fakultät Carl Gustav Carus, TU Dresden, Fetscherstraße 74, 01307, Dresden, Deutschland.
E SpörlKlinik und Poliklinik für Augenheilkunde, Medizinische Fakultät Carl Gustav Carus, TU Dresden, Fetscherstraße 74, 01307, Dresden, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn ophthalmology data from both eyes of a person are frequently included in statistical analyses. As correlated data are used this procedure contradicts the independency principle for classical statistical tests, such as Student's t‑test and analysis of variance (ANOVA). In this tutorial a new possibility is presented in which data from both eyes can be used for statistical analysis.

objectiveThe statistical approach of linear mixed models (LMM) was used to take correlated data of both eyes of patients into account.

methodsThe LMM is available in several statistical software packages, e.g. SPSS and R, and allows the inclusion of measurement data from both eyes of a person in the statistical analysis. The application was tested on data from a biomechanical characterization of the cornea from healthy participants assessed with the dynamic Scheimpflug analyzer (Corvis ST; Oculus, Wetzlar, Germany).

resultsA total of 158 eyes from 79 healthy participants were included. A strong correlation between the right and left eyes of the participants could be observed with respect to the analyzed parameters. Comparison of the biomechanical parameters between the different age groups showed that P-values were increased when using the LMM compared to the ANOVA. Older participants (56-79 years) showed a significantly shorter time to the second applanation (P = 0.002), a significantly increased eyeball movement during the deformation (P = 0.001) and a significantly higher stiffness at the first applanation (P = 0.006) compared to younger participants (18-35 years).

conclusionThe analysis of measurement data from both eyes using classical statistical tests, without the consideration of the correlation, leads to an overestimation of the statistical power. This can be avoided by implementation of the LMM.

Indexed as

CorneaOphthalmologyGermanyHumansIntraocular PressureTonometry, OcularAgeBoth eyesCorneal biomechanicsLinear mixed modelR statsticsSPSS

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.