Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Medicine and Health Sciences
Estimated Probability Of Becoming A Case Of Drug Dependence In Relation To Duration Of Drug-Taking Experience: A Function Approach, Olga A. Vsevolozhskaya, James C. Anthony
Estimated Probability Of Becoming A Case Of Drug Dependence In Relation To Duration Of Drug-Taking Experience: A Function Approach, Olga A. Vsevolozhskaya, James C. Anthony
Olga A. Vsevolozhskaya
Measured as elapsed time from first use to dependence syndrome onset, the estimated 'induction interval' for cocaine clearly is short relative to the cannabis interval, but little is known about risk of becoming dependent when use persists. Published estimates for this facet of drug dependence epidemiology are from life histories elicited years after first use. To improve estimation, we turn to new data from nationally representative samples of newly incident drug users identified via probability sampling and confidential computer-assisted self-interviews for the National Surveys on Drug Use and Health, 2004-2013. Standardized modules assess first and most recent use, and dependence …
From Drug Use To Dependence: A Multiparametric Approach, Olga A. Vsevolozhskaya, James C. Anthony
From Drug Use To Dependence: A Multiparametric Approach, Olga A. Vsevolozhskaya, James C. Anthony
Olga A. Vsevolozhskaya
One of the hallmarks of a drug dependence (DD) process is an escalation in rate of drug self-administration (DSA). We seek to extend current biostatistical approaches for epidemiological research on drug dependence processes via an investigation of a four-parameter dose-effect curve (DEC).
Confidence Interval Estimation In R-Das: State-Level Estimates For Extra-Medical Use Of Prescription Pain Relievers, Olga A. Vsevolozhskaya, James C. Anthony
Confidence Interval Estimation In R-Das: State-Level Estimates For Extra-Medical Use Of Prescription Pain Relievers, Olga A. Vsevolozhskaya, James C. Anthony
Olga A. Vsevolozhskaya
The specific methodological aims of our research are: 1) to clarify statistical inference procedures used by R-DAS to produce confidence interval estimates; 2) to review a simple solution to some of the research questions not currently addressed by R-DAS (i.e., with respect to tests of significance); and 3) to describe how in certain situations the percentages and the corresponding standard errors, which are suppressed from the R-DAS output due to the confidentiality concerns can be estimated “by hand”.