Sentence examples for recent statistical methods from inspiring English sources

Here, we summarize recent statistical methods for detecting molecular adaptation, and discuss their limitations and possible improvements.

Well known hypotheses and the use of these more recent statistical methods may lead to new information.

More recent statistical methods such as the multilevel modeling are considering single-tooth or even site characteristics while still regarding the individual patient as a statistical unit.

Thus, the aim of the present study was to identify patient and site factors that determine the initial outcome of nonsurgical and surgical periodontal therapy in single-rooted teeth using more recent statistical methods.

Analyses of mediation at 18 months will use a regression approach as described by Holmbeck [ 53], [ 54], together with more recent statistical methods [ 54] to allow for possible hidden confounding between the mediator and outcome.

Additionally, in a recent statistical methods development investigation, undertaken to address the issue of simultaneous exposures to multiple metals using μ statistics (Ramamoorthi et al. 2008), Cu and Mo as a pair were negatively correlated with total motile sperm and with normal sperm morphology.

Here we overcome these limitations by using high precision measurements of tens of thousands of single bacterial cells combined with recent statistical inference methods to estimate the division rate within the models.

To identify genes which were differentially regulated between individual cells, we took advantage of a recent quantitative statistical method (Brennecke et al., 2013) and determined genes for which the biological variability exceeded technical variability.

Recent work on statistical methods for QTL mapping in humans has included a number of methods that, though not developed specifically for discordant pairs, may well be powerful for MDSPs and possibly even EDSPs.

Moreover, recent literature examining statistical methods for analyzing falls has underlined the flaws associated with categorical analyses (e.g., faller versus non-faller or repeated faller versus single faller) [21].

This has led to the recent development of statistical methods for detecting statistical interactions between two loci.