The toenail data come from a Multicenter study comparing two oral treatments for toenail infection. Patients were evaluated for the degree of separation of the nail. Patients were randomized into two treatments and were followed over seven visits - four in the first year and yearly thereafter. The patients have not been treated prior to the first visit so this should be regarded as the baseline.
A data frame with 1908 observations on the following 5 variables:
patientIDa numeric vector giving the ID of patient
outcomea factor with 2 levels giving the response
treatmenta factor with 2 levels giving the treatment group
timea numeric vector giving the time of the visit (not exactly monthly intervals hence not round numbers)
visitan integer giving the number of the visit
Apart from formatting, this dataset is identical to
toenail. The formatting is taken identical to
data("toenail", package = "HSAUR3").
Lesaffre, E. and Spiessens, B. (2001). On the effect of the number of quadrature points in a logistic random-effects model: An example. Journal of the Royal Statistical Society, Series C, 50, 325-335.
G. Fitzmaurice, N. Laird and J. Ware (2004) Applied Longitudinal Analysis, Wiley and Sons, New York, USA.
Van Buuren, S. (2018). Flexible Imputation of Missing Data. Second Edition. Chapman & Hall/CRC. Boca Raton, FL.
toenail