We proposed a more advanced forecasting system based on two components: a pattern identification procedure, using statistical tests, and a set of different forecasting models, variants of the exponential smoothing.
A backward-stepwise selection procedure using statistical criteria was used to retain important covariates and interactions (see Additional file 1: Statistical appendix for full details).
Mortality rate ratios (MRR) and admission rate ratios (ARR) and predicted death rates were calculated with corresponding 95% confidence intervals (CI) using Poisson regression models with the GENMOD procedure using statistical software SAS (V.9.2).
Cerner Corporation has established Health Insurance Portability and Accountability Act (HIPAA)–compliant operating policies and procedures using statistical methods to establish de-identification.
Cerner Corporation (Kansas City, MO, USA) has established Health Insurance Portability and Accountability Act-compliant operating policies and procedures using statistical methods for de-identification.
The data was analyzed by one way ANOVA procedure using the statistical computer Program SPSS 13.00 Software SPSS Inc.., Chicago, IL, USA) to compare between means, and significance was considered when P < .05.05
A model selection procedure, using geo-statistical regression models and Akaike's information criterion, corroborated the importance of plantation age relative to the other predictors tested and also suggested that the influence of age varied over time.
All statistical procedures were performed using statistical software R (R Core Team 2014).
The statistical procedures were performed using Statistical Package for the Social Sciences version 19.0 software (SPSS Inc, Chicago, IL, USA).
In this study, the widely used statistical procedure (R 2) method and the information theory approach, Akaike information criterion (AIC) are used.
