Estimating dichotomised outcomes in two groups with unequal variances: a distributional approach
Sauzet O, Peacock JL (2014)
Statistics in Medicine 33(26): 4547-4559.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Autor*in
Sauzet, OdileUniBi;
Peacock, J. L.
Einrichtung
Abstract / Bemerkung
Dichotomisation in medical research is sometimes necessary for decision-making or communication purposes. This practice has been criticised in the case of continuous data, and it has been said that means should be compared instead. However when the two groups have unequal variances, comparing means might not show the whole picture as a particular group with a risk defined by a threshold in an outcome may have been affected differently by an intervention than when there is a simple shift of distribution. A statistically sound method using a distributional approach for the dichotomisation of normally distributed outcomes has been described under the assumption of equal variances. This assumption is not sustainable in some situations, and in this work, we develop the method further to cover the case of unequal variances. Through examples from the literature and our own data, we illustrate the effect of unequal variance on dichotomised estimates and present a validation of the method through simulations. Copyright (C) 2014 John Wiley & Sons, Ltd.
Stichworte
confidence intervals;
unequal variances;
dichotomisation;
normally distributed outcomes;
distributional method
Erscheinungsjahr
2014
Zeitschriftentitel
Statistics in Medicine
Band
33
Ausgabe
26
Seite(n)
4547-4559
ISSN
0277-6715
Page URI
https://pub.uni-bielefeld.de/record/2710512
Zitieren
Sauzet O, Peacock JL. Estimating dichotomised outcomes in two groups with unequal variances: a distributional approach. Statistics in Medicine. 2014;33(26):4547-4559.
Sauzet, O., & Peacock, J. L. (2014). Estimating dichotomised outcomes in two groups with unequal variances: a distributional approach. Statistics in Medicine, 33(26), 4547-4559. doi:10.1002/sim.6255
Sauzet, Odile, and Peacock, J. L. 2014. “Estimating dichotomised outcomes in two groups with unequal variances: a distributional approach”. Statistics in Medicine 33 (26): 4547-4559.
Sauzet, O., and Peacock, J. L. (2014). Estimating dichotomised outcomes in two groups with unequal variances: a distributional approach. Statistics in Medicine 33, 4547-4559.
Sauzet, O., & Peacock, J.L., 2014. Estimating dichotomised outcomes in two groups with unequal variances: a distributional approach. Statistics in Medicine, 33(26), p 4547-4559.
O. Sauzet and J.L. Peacock, “Estimating dichotomised outcomes in two groups with unequal variances: a distributional approach”, Statistics in Medicine, vol. 33, 2014, pp. 4547-4559.
Sauzet, O., Peacock, J.L.: Estimating dichotomised outcomes in two groups with unequal variances: a distributional approach. Statistics in Medicine. 33, 4547-4559 (2014).
Sauzet, Odile, and Peacock, J. L. “Estimating dichotomised outcomes in two groups with unequal variances: a distributional approach”. Statistics in Medicine 33.26 (2014): 4547-4559.
Daten bereitgestellt von European Bioinformatics Institute (EBI)
5 Zitationen in Europe PMC
Daten bereitgestellt von Europe PubMed Central.
Using marginal standardisation to estimate relative risk without dichotomising continuous outcomes.
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PMID: 31357938
Chen Y, Ning Y, Kao SL, Støer NC, Müller-Riemenschneider F, Venkataraman K, Khoo EYH, Tai ES, Tan CS., BMC Med Res Methodol 19(1), 2019
PMID: 31357938
Binomial outcomes in dataset with some clusters of size two: can the dependence of twins be accounted for? A simulation study comparing the reliability of statistical methods based on a dataset of preterm infants.
Sauzet O, Peacock JL., BMC Med Res Methodol 17(1), 2017
PMID: 28728549
Sauzet O, Peacock JL., BMC Med Res Methodol 17(1), 2017
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A distributional approach to obtain adjusted comparisons of proportions of a population at risk.
Sauzet O, Breckenkamp J, Borde T, Brenne S, David M, Razum O, Peacock JL., Emerg Themes Epidemiol 13(), 2016
PMID: 27279891
Sauzet O, Breckenkamp J, Borde T, Brenne S, David M, Razum O, Peacock JL., Emerg Themes Epidemiol 13(), 2016
PMID: 27279891
Dichotomisation using a distributional approach when the outcome is skewed.
Sauzet O, Ofuya M, Peacock JL., BMC Med Res Methodol 15(), 2015
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Sauzet O, Ofuya M, Peacock JL., BMC Med Res Methodol 15(), 2015
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Making core outcomes more clinically meaningful: 2-for-the-price-of-1 with a distributional approach.
Peacock JL, Lo JW, Sauzet O., Trials 16(suppl 1), 2015
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Peacock JL, Lo JW, Sauzet O., Trials 16(suppl 1), 2015
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