Browsing by Author "Levine, M."

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    The modeling of medical expenditure data from a longitudinal survey using the generalized method of moments (GMM) approach
    (Wiley, 2016-07-10) Hass, Z.; Levine, M.; Sands, L.P.; Ting, J.; Xu, H.; Biostatistics, School of Public Health
    Medical expenditure data analysis has recently become an important problem in biostatistics. These data typically have a number of features making their analysis rather difficult. Commonly, they are heavily right-skewed, contain a large percentage of zeros, and often exhibit large numbers of missing observations because of death and/or the lack of follow-up. They are also commonly obtained from records that are linked to large longitudinal data surveys. In this manuscript, we suggest a novel approach to modeling these data through the use of generalized method of moments estimation procedure combined with appropriate weights that account for both dropout due to death and the probability of being sampled from among the National Long Term Care Survey (NLTCS) subjects. This approach seems particularly appropriate because of the large number of subjects relative to the length of observation period (in months). We also use a simulation study to compare our proposed approach with and without the use of weights. The proposed model is applied to medical expenditure data obtained from the 2004-2005 NLTCS-linked Medicare database. The results suggest that the amount of medical expenditures incurred is strongly associated with higher number of activities of daily living (ADL) disabilities and self-reports of unmet need for help with ADL disabilities.
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    The Toxicology Investigators Consortium Case Registry-the 2018 Annual Report
    (Springer, 2019-10-22) Spyres, Meghan B.; Farrugia, Lynn A.; Kang, A. Min; Calello, Diane P.; Campleman, Sharan L.; Pizon, Anthony; Wiegand, Timothy; Kao, Louise; Riley, Brad D.; Li, Shao; Wax, Paul M.; Brent, Jeffery; Beauchamp, G. A.; Beuhler, M. C.; Boyle, K. L.; Cannon, R. D.; Carey, J. L.; Carpenter, J.; Chenoweth, J. A.; Colby, D. K.; Eisenga, B. H.; Fisher, E.; Ford, J. B.; Fox, L. M.; Ganetsky, M.; Gorodetsky, R.; Greene, S. C.; Griswold, M. K.; Harding, S. A.; Hendrickson, R. G.; Horowitz, B. Z.; Hoyte, C.; Jacob, J.; Judge, B. S.; Kazzi, Z.; Kerns, W. P.; Kim, T.; Koons, A.; Leikin, J. B.; Levine, M.; Liss, D. B.; Marino, R.; McKay, C. A.; McKeever, R. G.; Meadors, K.; Moore, K.; Mullins, M. E.; Nacca, N.; Nelson, M. E.; Porter, L.; Riley, B. D.; Santos, C.; Schult, R.; Schwarz, E. S.; Scoccimarro, A.; Seifert, S. A.; Shafer, S.; Shah, K. R.; Smolinske, S. C.; Spyres, M.; Tortora, L.; Vearrier, D. J.; Warrick, B. J.; Weiss, S.; Wolk, B. J.; Yanta, J.; On behalf of the Toxicology Investigators Consortium (ToxIC) Study Group; Emergency Medicine, School of Medicine
    The Toxicology Investigators Consortium (ToxIC) Registry was established by the American College of Medical Toxicology (ACMT) in 2010. The Registry collects data from participating sites with the agreement that all bedside medical toxicology consultation will be entered. The objective of this ninth annual report is to summarize the Registry’s 2018 data and activity with its additional 7043 cases. Cases were identified for inclusion in this report by a query of the ToxIC database for any case entered from 1 January to 31 December 2018. Detailed data was collected from these cases and aggregated to provide information which included demographics, reason for medical toxicology evaluation, agent and agent class, clinical signs and symptoms, treatments and antidotes administered, mortality, and whether life support was withdrawn. A total of 51.5% of cases were female, 48% were male, and 0.6% transgender. Non-opioid analgesics were the most commonly reported agent class, followed by antidepressants and opioids. Acetaminophen was once again the most common agent reported. There were 106 fatalities, comprising 1.5% of all registry cases. Major trends in demographics and exposure characteristics remained similar to past years’ reports. Sub-analyses were conducted to describe exposures in elderly patients, addiction consultation practices, and risk factors for bupropion-induced seizures. The launch of the ToxIC Qualified Clinical Data Registry (TQCDR) is also described. Electronic supplementary material The online version of this article (10.1007/s13181-019-00736-9) contains supplementary material, which is available to authorized users.