Most of the earlier research used simple conceptual and statistical approaches for trend analysis and water balance estimations, mainly using rainfall and evapotranspiration data.
Includes modeling and analysis approaches for trending topics such as natural language processing, power efficiency and predictable systems.
Although the trend in risk of hypospadias approached significance (p for trend = 0.08) and the ORs for all categories were greater than unity, we found, overall, no linear relationship.
Although the chemical behaviors are site-specific, this paper discusses the concepts involved in developing a generic approach for predicting the trend of aqueous and surface speciation, and the resulting effects on Fe0 treatment systems.
He developed an approach for analyzing temporal trends in disease rates using the age-period-cohort modeling framework that has be used extensively in the analysis of cancer incidence and mortality trends.
Thus, compared to single locus estimates, our multilocus data provided a powerful approach for estimating demographic trends in mouse lemurs.
In addition, this approach allows testing for trends over time.
We also examined the data on disease progression using a model that excludes polypharmacy after entry to the study; using this approach we obtained similar effects for trend, but the changes did not achieve statistical significance given the inadequate power.
The early 1990s saw the appearance of linear models based on Poisson regression, in which a parametric approach was used to control for trend and seasonality because the event counts more typically have a Poisson distribution.
Groundwater quality observation data for individual monitoring points can be fitted to a linear or log linear regression model, where the significance of a trend can be determined by using the Mann-Kendall approach, which is widely used for trend detection in groundwater and surface water studies (Bouza-Deaño et al. 2008; Wahlin and Grimvall 2010).
