Author
Mir M. Ali
Other affiliations: Center for Food Safety and Applied Nutrition, Food and Drug Administration, University of Toledo ...read more
Bio: Mir M. Ali is an academic researcher from Office of the Assistant Secretary for Planning and Evaluation. The author has contributed to research in topics: Mental health & Medicaid. The author has an hindex of 28, co-authored 111 publications receiving 2495 citations. Previous affiliations of Mir M. Ali include Center for Food Safety and Applied Nutrition & Food and Drug Administration.
Topics: Mental health, Medicaid, Population, Public health, Medical prescription
Papers published on a yearly basis
Papers
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TL;DR: The latest nationally representative data from the NSCH show that depression, anxiety, and behavioral/conduct problems are prevalent among US children and adolescents and treatment gaps remain.
596 citations
TL;DR: No evidence that laws designed to increase layperson engagement in opioid-overdose reversal were associated with increased non-medical opioid use and there was no evidence that these measures wereassociated with increasedNon- medical opioid use.
156 citations
TL;DR: Evidence is found to show that the influence of close friends from adolescence years continue to have an impact on smoking propensities even when a transition into adulthood is made and that these effects persist into adulthood.
150 citations
TL;DR: The findings support the literature that peer effects are important determinants of drinking behavior even after controlling for potential biases and show evidence to show that the influence of close friends diminishes in magnitude after accounting for unobserved environmental confounders.
150 citations
TL;DR: The study finds no effect of PDMP status on various measures of nonmedical prescription opioid use, but finds evidence of a reduction in the number of days of opioid misuse in the past year and suggests that PDMPs were associated with a significant decline in doctor shopping among individuals without increasing reliance on illegal sources.
131 citations
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TL;DR: In this paper, the authors investigated conditions sufficient for identification of average treatment effects using instrumental variables and showed that the existence of valid instruments is not sufficient to identify any meaningful average treatment effect.
Abstract: We investigate conditions sufficient for identification of average treatment effects using instrumental variables. First we show that the existence of valid instruments is not sufficient to identify any meaningful average treatment effect. We then establish that the combination of an instrument and a condition on the relation between the instrument and the participation status is sufficient for identification of a local average treatment effect for those who can be induced to change their participation status by changing the value of the instrument. Finally we derive the probability limit of the standard IV estimator under these conditions. It is seen to be a weighted average of local average treatment effects.
3,154 citations
01 Jan 1998
TL;DR: The self-medication hypothesis of addictive disorders derives primarily from clinical observations of patients with substance use disorders as mentioned in this paper, who discover that the specific actions or effects of each class of drugs relieve or change a range of painful affect states.
Abstract: The self-medication hypothesis of addictive disorders derives primarily from clinical observations of patients with substance use disorders. Individuals discover that the specific actions or effects of each class of drugs relieve or change a range of painful affect states. Self-medication factors occur in a context of self-regulation vulnerabilities--primarily difficulties in regulating affects, self-esteem, relationships, and self-care. Persons with substance use disorders suffer in the extreme with their feelings, either being overwhelmed with painful affects or seeming not to feel their emotions at all. Substances of abuse help such individuals to relieve painful affects or to experience or control emotions when they are absent or confusing. Diagnostic studies provide evidence that variously supports and fails to support a self-medication hypothesis of addictive disorders. The cause-consequence controversy involving psychopathology and substance use/abuse is reviewed and critiqued. In contrast, clinical observations and empirical studies that focus on painful affects and subjective states of distress more consistently suggest that such states of suffering are important psychological determinants in using, becoming dependent upon, and relapsing to addictive substances. Subjective states of distress and suffering involved in motives to self-medicate with substances of abuse are considered with respect to nicotine dependence and to schizophrenia and posttraumatic stress disorder comorbid with a substance use disorder.
1,907 citations
University of Oklahoma1, University of Vermont2, Children's Mercy Hospital3, University of Missouri–Kansas City4, Boston Children's Hospital5, Harvard University6, University of North Carolina at Chapel Hill7, Ohio University8, American Academy of Pediatrics9, University of Cincinnati10, Cincinnati Children's Hospital Medical Center11, American Academy of Family Physicians12, Centers for Disease Control and Prevention13, Vanderbilt University14, Northwestern University15, American Academy of Child and Adolescent Psychiatry16
TL;DR: Attention-deficit/hyperactivity disorder (ADHD) is the most common neurobehavioral disorder of childhood and can profoundly affect the academic achievement, well-being, and social interactions of children.
Abstract: Attention-deficit/hyperactivity disorder (ADHD) is the most common neurobehavioral disorder of childhood and can profoundly affect the academic achievement, well-being, and social interactions of children; the American Academy of Pediatrics first published clinical recommendations for the diagnosis and evaluation of ADHD in children in 2000; recommendations for treatment followed in 2001.
1,657 citations
TL;DR: The regularities that led us to propose that human social networks may exhibit a ‘three degrees of influence’ property are described and the statistical approaches used to characterize interpersonal influence with respect to phenomena as diverse as obesity, smoking, cooperation, and happiness are reviewed.
Abstract: Here, we review the research we have conducted on social contagion. We describe the methods we have employed (and the assumptions they have entailed) to examine several datasets with complementary strengths and weaknesses, including the Framingham Heart Study, the National Longitudinal Study of Adolescent Health, and other observational and experimental datasets that we and others have collected. We describe the regularities that led us to propose that human social networks may exhibit a ‘three degrees of influence’ property, and we review statistical approaches we have used to characterize interpersonal influence with respect to phenomena as diverse as obesity, smoking, cooperation, and happiness. We do not claim that this work is the final word, but we do believe that it provides some novel, informative, and stimulating evidence regarding social contagion in longitudinally followed networks. Along with other scholars, we are working to develop new methods for identifying causal effects using social network data, and we believe that this area is ripe for statistical development as current methods have known and often unavoidable limitations. Copyright © 2012 John Wiley & Sons, Ltd.
992 citations
TL;DR: Applied Regression Analysis Bibliography Update 2000–2001,” Communications in Statistics: Theory and Methods, 2051– 2075.
Abstract: Christensen, R. (2002), Plane Answers to Complex Questions: The Theory of Linear Models (3rd ed.), New York: Springer-Verlag. Crocker, D. C. (1980), Review of Linear Regression Analysis, by G. A. F. Seber, Technometrics, 22, 130. Datta, B. N. (1995), Numerical Linear Algebra and Applications, Paci c Grove, CA: Brooks/Cole. Draper, N. R. (2002), “Applied Regression Analysis Bibliography Update 2000–2001,” Communications in Statistics: Theory and Methods, 2051– 2075. Golub, G. H., and Van Loan, C. F. (1996), Matrix Computations (3rd ed.), Baltimore, MD: Johns Hopkins University Press. Graybill, F. A. (2000), Theory and Application of the Linear Model, Paci c Grove, CA: Brooks/Cole. Hocking, R. R. (2003), Methods and Applications of Linear Models: Regression and the Analysis of Variance (2nd ed.), New York: Wiley. Porat, B. (1993), Digital Processing of Random Signals, Englewood Cliffs, NJ: Prentice-Hall. Ravishanker, N., and Dey, D. K. (2002), A First Course in Linear Model Theory, Boca Raton, FL: Chapman and Hall/CRC. White, H. (1984), Asymptotic Theory for Econometricians, Orlando, FL: Academic Press.
862 citations