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Articles 1 - 2 of 2
Full-Text Articles in Statistics and Probability
Drug Ideologies Of The United States, Macy Montgomery
Drug Ideologies Of The United States, Macy Montgomery
Helm's School of Government Conference - American Revival: Citizenship & Virtue
The United States has been increasingly creating lenient drug policies. Seventeen states and Washington, the District of Columbia, legalized marijuana, and Oregon decriminalized certain drugs, including methamphetamine, heroin, and cocaine. The medical community has proven that drugs, including marijuana, have myriad adverse health side effects. This leads to two questions: Why does the United States government continue to create lenient drug policies, and what reasons do citizens give for legalizing drugs when the medical community has proven them harmful? The paper hypothesizes that the disadvantages of drug legalization outweigh its benefits because of the numerous harms it causes, such as …
Simulation And Application Of Binary Logic Regression Models, Jobany J. Heredia Rico
Simulation And Application Of Binary Logic Regression Models, Jobany J. Heredia Rico
FIU Electronic Theses and Dissertations
Logic regression (LR) is a methodology to identify logic combinations of binary predictors in the form of intersections (and), unions (or) and negations (not) that are linearly associated with an outcome variable. Logic regression uses the predictors as inputs and enables us to identify important logic combinations of independent variables using a computationally efficient tree-based stochastic search algorithm, unlike the classical regression models, which only consider pre-determined conventional interactions (the “and” rules). In the thesis, we focused on LR with a binary outcome in a logistic regression framework. Simulation studies were conducted to examine the performance of LR under the …