We also discuss the biases associated with ITT analysis and, alternatively, censoring of follow-up data (ie, dropping out) after selective crossover. Moreover, we discuss how the statistical procedure ...

This is a preview. Log in through your library . Abstract This paper deals with two schemes, π-inverse weights and best linear unbiased weights, for weighting of observations drawn by unequal ...

Thanks to the growing interest in personalized medicine, joint modeling of longitudinal marker and time-to-event data has recently started to be used to derive dynamic individual risk predictions.