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CRAFT is a motivational model of family therapy. [5] It is reward-based [5] —that is, based on positive reinforcement. CRAFT is aimed at the families and friends of treatment-refusing individuals who have a substance use disorder. [5] "CRAFT works to affect [influence] the substance users' behavior by changing the way the family interacts ...
At the time, addicts were lucky to find a hospital bed to detox in. A hundred years ago, the federal government began the drug war with the Harrison Act, which effectively criminalized heroin and other narcotics. Doctors were soon barred from addiction maintenance, until then a common practice, and hounded as dope peddlers.
All five models demonstrated significant pre-post treatment improvements in number of days abstinent and the percent of adolescents in recovery during the 12-month follow-up period. [12] Within its study arm, A-CRA was the most cost-effective model; across both study arms, A-CRA was the most cost-effective model to involve parents in treatment ...
Bayesian structural time series (BSTS) model is a statistical technique used for feature selection, time series forecasting, nowcasting, inferring causal impact and other applications. The model is designed to work with time series data. The model has also promising application in the field of analytical marketing. In particular, it can be used ...
Time series: random data plus trend, with best-fit line and different applied filters. In mathematics, a time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time.
Given a time series of data x t, the STAR model is a tool for understanding and, perhaps, predicting future values in this series, assuming that the behaviour of the series changes depending on the value of the transition variable. The transition might depend on the past values of the x series (similar to the SETAR models), or exogenous variables.
These models are useful in modeling time series with long memory—that is, in which deviations from the long-run mean decay more slowly than an exponential decay. The acronyms "ARFIMA" or "FARIMA" are often used, although it is also conventional to simply extend the "ARIMA( p , d , q )" notation for models, by simply allowing the order of ...
There are many statistical packages that can be used to find structural breaks, including R, [17] GAUSS, and Stata, among others.For example, a list of R packages for time series data is summarized at the changepoint detection section of the Time Series Analysis Task View, [18] including both classical and Bayesian methods.