Sentence examples for modern statistical approaches from inspiring English sources

While equifinality exists to some extent in all studies of social learning, I make suggestions for how to address instances of it, with an emphasis on using data simulation and methodological verification alongside modern statistical approaches that emphasize prediction and model comparison.

Therefore there remains a need to develop rigorous modern statistical approaches for parameter estimation of non-linear models for the 2001 FMD outbreak.

The development and application of modern statistical approaches to examine the genetics of ADHD beyond simple association can yield novel insights into the genetic architecture of this disorder.

Several studies have been conducted more recently using modern statistical approaches, consisting primarily of the time-series and case-crossover approaches.

Experimental methods, used in combination with modern statistical approaches, can provide important information about the interactions among components of the peripheral and central 5-HT systems, which are often studied in isolation.

Recent epidemiologic evidence using modern statistical approaches, consisting primarily of the time-series and case-crossover approaches, mainly focused on the temperature-mortality relationship, including all-cause and cause-specific mortality, vulnerable subgroups, confounders and effect modifiers.

Instead of checking each contribution and verifying it individually, this was the start of a new statistical approach.

We therefore emphasize that the hunt for genetic disease markers needs to be fine-tuned to the reality that disease-predisposing mutations with the largest effects in a given sex – those that are identifiable using modern statistical genomics approaches – are likely to contribute negligibly to disease in the other sex.

The strengths of this study, however, are in the use of a modern, sophisticated statistical approach, Rasch modelling, to test the psychometric properties of the scale; and the use of longitudinal data to test the stability of the CES-D across time.

Both acoustic and language modelling are important parts of modern statistical speech recognition approach [3, 4].

The collection of global metabolic data and their interpretation (both spectral and biochemical) with modern spectroscopic techniques and appropriate statistical approaches is called "metabolic profiling" or "metabolomics" [20 22].