The issues of nonobservation and representation cannot be easily solved by statistical procedures such as endpoint analyses, time-controlled analyses, and regression techniques to address the loss of missing subjects (Flick 1988).
This paper discusses how neural networks, applied to predict energy consumption in buildings, can advantageously be improved, guided by statistical procedures, such as hypothesis testing, information criteria and cross validation.
It is usually complemented by statistical procedures that support the various stages of the data analysis process [ 1].
Derivation of domains solely by statistical procedures (searching for explanatory factors) without serious theoretical justification does not in itself guarantee meaningfulness and therapeutic relevance [ 8- 10].
In this large population-based 11-year follow-up study, an association between body height and LBP was found in women without LBP at baseline, within the ordinary limits of uncertainty set by statistical procedures.
Collinearity diagnostics were evaluated both from the output of the statistical procedures and by manual generation of models including only one of several variables with close relationships (for example, malnutrition, body mass index and serum albumin).
[ 19] Collinearity diagnostics were evaluated both from the output of the statistical procedures and by manual generation of models including only one of several variables with close relationships (for example, congestive heart failure and left ventricular hypertrophy, which was assessed by chest X-ray, electrocardiogram, and echocardiography).
By two statistical procedures, artificial neural networks (ANNs) and least absolute shrinkage and selection operator (Lasso), five amino acids in GH11 xylanase family were identified to be related to the evolution of enzymatic pH optimum.
Specimen samples are selected unbiasedly and then observed and expected distributions of gold particles are estimated and compared by appropriate statistical procedures.
In this situation, a possibility of selection bias can be ruled out since researchers do not condition on S. In observational studies, researchers usually aim to eliminate confounding bias by employing some statistical procedures, e.g., standardization and inverse-probability weighting method.
