Marketing Mix Modelling Using Multi-objective Hyperparameter Optimization

Marketing mix modelling (MMM) is an important technique in marketing measurement to define effectiveness and efficiency of marketing investment. MMM is a complex combination of various statistical models and data transformation functions. Traditional MMM is subject to analyst bias and is slow and expensive. This disclosure describes automated techniques that reduce the analyst bias in MMM and make the model building process fast, flexible, and inexpensive. The techniques described in this disclosure overcome analyst bias through a multi-objective hyperparameter optimization that is achieved by using an evolutionary algorithm

Risk of Multiple Myeloma In Rheumatoid Arthritis: A Meta-Analysis of Case-Control and Cohort Studies

Multiple myeloma is a malignant neoplasm of plasma cells mainly affecting elderly patients. Despite the wealth of information available on therapeutic strategies, the etiology and pathogenesis of myeloma remain unclear. In the current study, a meta-analysis was conducted to assess the possible association between rheumatoid arthritis and myeloma

Flow diagram depicting the identification and selection of eligible case-control and cohort studies.

<p>Flow diagram depicting the identification and selection of eligible case-control and cohort studies.</p

Meta-analysis of multiple myeloma incidence by subgroup.

<p>Abbreviations: N, number; M, male; F, female; RR, relative risk; NOS, Newcastle-Ottawa Scale.</p>a<p>One case-control study conducted in New Zealand was excluded from analysis.</p>b<p>One study with unknown mean follow-up duration was excluded from analysis.</p><p>–: Cannot be calculated.</p

Funnel plot for case-control and cohort studies (dots: original data; squares: filled data).

<p>Funnel plot for case-control and cohort studies (dots: original data; squares: filled data).</p

Characteristics of cohort studies enrolled in the meta-analysis.

<p>Abbreviations: M, male; F, female; MM, multiple myeloma; SIR, standardized incidence ratio; CI, confidence intervals; PY, person years.</p><p>–: Not mentioned.</p

Forest plot of studies on multiple myeloma development risk in pernicious anemia and AS.

<p>Forest plot of studies on multiple myeloma development risk in pernicious anemia and AS.</p

Characteristics of case-control studies enrolled in the meta-analysis.

<p>Abbreviations: RA, rheumatoid arthritis; OR, odds ratio; CI, confidence intervals; M, male; F, female.</p

Forest plot of studies on multiple myeloma development risk in rheumatoid arthritis.

<p>Forest plot of studies on multiple myeloma development risk in rheumatoid arthritis.</p

Take-off time of the first generation of the overwintering small brown planthopper, Laodelphax striatellus in the temperate zone in East Asia.

Overseas migration of the small brown planthopper, Laodelphax striatellus (Fallén), occurs during the winter wheat harvest season in East Asia. Knowing the take-off time of emigrating L. striatellus is crucial for predicting such migrations with a simulation technique because winds, carriers of migratory insects, change continuously. Several methods were used in China and Japan from late May to early June 2012 and again in 2013 to identify the precise timing of take-off. These methods included: a tow net trap mounted to a pole at 10 m above the ground, a helicopter-towed net trap, and a canopy trap (which also had video monitoring) set over wheat plants. Laodelphax striatellus emigrated from wheat fields mainly in the early evening, before dusk. The insects also emigrated during the daytime but rarely emigrated at dawn, showing a pattern that is unlike the bimodal emigration at dusk and dawn of two other rice planthoppers, the brown planthopper, Nilaparvata lugens (Stål), and the white-backed planthopper, Sogatella furcifera (Horváth). There was no significant difference in the temporal pattern of take-off behavior between females and males of Japanese L. striatellus populations