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The Monte Carlo Mapped Power method (a simulation-based power calculation methodology using the likelihood ratio test) was extended in the current study to perform sample size calculations for mixed pharmacokinetic studies (i.e. both sparse and dense data collection).
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Attempts to produce this "holy grail" include relatively simple analyses of base-pair substitutions (Lasky and Silbergeld 1996) and collection of dense data sets derived from microarray gene expression data and proteomics (Frijters et al. 2007).
The automatic data collection led to a dense dataset of 161 compounds with annotations for both targets, and a sparse dataset of 2191 compounds with annotation in at least one target.
A fifth development is wireless technology, including mobile computing and telephony, again greatly facilitating rapid and extensive data collection – in pedometrics, the more dense the data, the greater the analytical possibilities and the lower the uncertainty.
The collection effort is clearly critical if a realistic view of the observed γ-diversity is to be obtained, while the complementarity of several data collection methods provides both a comprehensive and dense coverage of tree species distribution.
Data collection technology has evolved over recent decades, allowing more dense sampling of observations over time, space, and other continuum measures.
Data collection; (d).
J.M. supervised data collection.
Step 1: Data collection.
Albert Sun contributed to data collection.
R.Z.H. contributed to data collection.
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