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The Raschpower procedure has been proposed for sample size and power determination for the comparison of PROs in cross-sectional studies comparing two groups of patients when an item reponse model, the Rasch model, is intended to be used for analysis.
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Other methods like nipple aspirates and ductal lavage fluid have been proposed for sampling of tumor subproteomes (for review see [30]), and in-depth proteomic analyses have been performed on peritoneal fluid [31] and ascites [23], [32] for ovarian cancer.
Several mechanisms have been proposed for sampling k-mers in a representative way [ 53, 54].
A quick, easy, cheap, effective, rugged, and safe (QuEChERS) approach is proposed for sample clean-up.
A general adaptive approach rooted in stratified sampling (SS) is proposed for sample-based uncertainty quantification (UQ).
Novel segmented, multi-gap, pressurized gas ionization chambers are proposed for sampling the energy deposited near the maxima of the hadronic/electromagnetic showers in these absorbers.
A discrete-time integral sliding mode control (DISMC) scheme is proposed for sample-data systems with state time-delay and disturbance.
Four corrections have been proposed for adjusting sample size in cases of imbalance in cluster size.
Frequency estimation from their discrete samples is one of the fundamental problems and many frequency estimators have been proposed for uniform sampling setting.
Certain new estimators for the β-quantile have been proposed for any sampling design.
While a multitude of expressions has been proposed for calculating sample-specific standard errors of prediction when using partial least squares (PLS) regression for the calibration of first-order data, potential generalisations to multiway data are lacking to date.
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