… patterns, … to predict with just over 50% accuracy children’s pattern of service use. Severe
externalizing behaviors, high impairment, and high family burden predicted service use patterns …

… This study evaluates the predictability in temporal absence trends due to sickness among
employees at a federal agency. Trends follow regular patterns during a given year that …

… predictor of the actual Zika epidemic than CDC’s tweets later in the year. Different from previous
studies that have used social media discussion trend to predict … discussion to predict the …

… create a prediction model. As to the best knowledge of the researcher health care providers
… patterns that enable to differentiate the actual and non-actual contraceptive method users. …

… health spending patterns, Mays and Smith found that local public health agencies governed
by a board of health … found local public health agency spending to be a modest predictor of …

… Service patterns for patients of hospital-based agencies were more difficult to predict,
because these agencies may serve competing missions-to increase overall revenues to the …

… Given the large number of predictor variables in this study, we … Collinearity of predictor
variables was assessed using variance … possible models that predict performance improvement. …

… discriminant function analysis predicting patterns of service use. Second, using chart review
data, discriminant function analysis was used to explore whether the patterns of service use …

… Figure 5 displays the predicted probabilities that a patient would receive each type of visit
at least once per episode. Both for-profits and non-profits increased the provision of therapy …

… We collect 164,104 tweets from 25 Federal Health Agencies and their 130 accounts. We
use negative binomial hurdle regression models and Cox proportional hazards models to …