Regression analysis is highly relevant to agricultural sciences since many of the factors studied are quantitative. Researchers have generally used polynomial models to explain their experimental ...
Objectives Latent class trajectory modelling (LCTM) is a relatively new methodology in epidemiology to describe life-course exposures, which simplifies heterogeneous populations into homogeneous ...
Background Philip Morris International (PMI) claims to be transforming and has committed to a ‘smoke-free’ future. In 2020, it announced an ‘aspirational’ target for reduced cigarette shipments by ...
The goal of lemur is to simplify the analysis of multi-condition single-cell data. If you have collected a single-cell RNA-seq dataset with more than one condition, lemur predicts for each cell and ...
Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...
Objective Stunting, wasting and underweight are the three widely recognised indicators of child undernutrition. This study aimed to simultaneously model all indicators while accounting for their ...
Many of the challenges we address here were evident to the pioneers of medical decision analysis of the 1950s 7 and to scholars in subsequent decades 8-11 who conducted careful and creative studies of ...
Right ventricular ejection fraction (RVEF) and end‐diastolic volume (RVEDV) are not readily assessed through traditional modalities. Deep learning–enabled ECG analysis for estimation of right ...
The returned Spark connection (sc) provides a remote dplyr data source to the Spark cluster. For more information on connecting to remote Spark clusters see the Deployment section of the sparklyr ...
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