Analysis of extreme drinking in patients with alcohol dependence using Pareto regression

Statistics in Medicine

Volumn 29, Issue 11, 2010, Pages 1250-1258

  Das, Sourish ^a   Harel, Ofer ^b   Dey, Dipak K ^b   Covault, Jonathan ^c   Kranzler, Henry R ^c  

^a DUKE UNIVERSITY   (United States)

^b UNIVERSITY OF CONNECTICUT   (United States)

^c UNIVERSITY OF CONNECTICUT HEALTH CENTER   (United States)

Author keywords

Alcoholism; Bayesian modeling; Extreme value distribution; Genetic marker; Psychotherapies; Simulations studies

Indexed keywords

4 AMINOBUTYRIC ACID A RECEPTOR;

ADULT; ALCOHOL CONSUMPTION; ALCOHOLISM; ARTICLE; BAYES THEOREM; COGNITIVE THERAPY; CONTROLLED STUDY; COVARIANCE; DRINKING BEHAVIOR; FEMALE; GENETIC RISK; HIGH RISK POPULATION; HUMAN; MAJOR CLINICAL STUDY; MALE; MOTIVATION; MOTIVATIONAL ENHANCEMENT THERAPY; PARETO REGRESSION MODEL; PROBABILITY; PSYCHOTHERAPY; RECEPTOR GENE; REGRESSION ANALYSIS; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL MODEL; TREATMENT RESPONSE; TWELVE STEPS FACILITATION;

ADULT; ALCOHOLISM; BAYES THEOREM; COMPUTER SIMULATION; FEMALE; HUMANS; MALE; MODELS, GENETIC; MODELS, STATISTICAL; POLYMORPHISM, SINGLE NUCLEOTIDE; PSYCHOTHERAPY; RECEPTORS, GABA-A;

EID: 77951567761     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3878     Document Type: Article

References (25)

1. Kendler KS. Twin studies of psychiatric illness: an update. Archives of General Psychiatry 2001; 58:1005-1014.
2. Bauer LO, Covault J, Harel O, Das S, Gelernter J, Anton R, Kranzler HR. Variation in GABRA2 predicts drinking behavior in project match subjects. Alcoholism: Clinical and Experimental Research 2007; 31:1780-1787.
3. National Institute on Alcohol Abuse and Alcoholism. Helping Patients Who Drink Too Much: A Clinician's Guide. National Institute on Alcohol Abuse and Alcoholism, NIH Publication, 2005.
4. Hastie TJ, Botha JL, Schnitzler CM. Regression with an ordered categorical response. Statistics in Medicine 1989; 8:785-794.
5. Davision AC, Smith RL. Models for exceedances over high thresholds. Journal of Royal Statistical Society, Series B 1990; 52:393-442.
6. Hastie T, Tibshirani R, Friedman J. The Elements of Statistical Learning: Data Mining, Inference and Prediction. Springer: Berlin, 2009.
7. Zellner A. On assessing prior distribution and Bayesian regression analysis with g-prior distributions. In Bayesian Inference and Decision Technique, Goel P, Zellner A (eds). Elsevier Science Publication: Amsterdam, 1986.
8. Covault J, Gelernter J, Hesselbrock V, Nellissery M, Kranzler HR. Allelic and haplotypic association of GABRA2 with alcohol dependence. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 2004; 129:104-109.
9. Gnedenko BV. Sur la distribution limite du terme maximum d'une série aléatoire. Annals of Mathematics 1945; 44:423-453.
10. Pickands J. Statistical inference using extreme order statistics. Annals of Statistics 1975; 3:119-131.
11. Smith RL. Estimating tails of probability distributions. Annals of Statistics 1987; 15:1174-1207.
12. Coles SG, Powell EA. Bayesian methods in extreme value modeling: a review and new developments. International Statistical Review 1996; 64:119-136. (Pubitemid 126044974)
13. Coles SG, Tawn JA. A bayesian analysis of extreme rainfall data. Applied Statistics 1996; 45:463-478. (Pubitemid 126337638)
14. Frigessi A, Haug O, Rue H. A dynamic mixture model for unsupervised tail examination without threshold selection. Extremes 2002; 5:219-235.
15. Behrens CN, Lopes HF, Gamerman D. Bayesian analysis of extreme events with threshold estimation. Statistical Modelling 2004; 4:227-244.
16. Castellanos EM, Cabras S. A default Bayesian procedure for the generalized Pareto distribution. Journal of Statistical Planning and Inference 2007; 137:473-483. (Pubitemid 44490211)
17. Tsionas EG. Pareto regression: a Bayesian analysis. Communications in Statistics: Theory and Method 2003; 32:1213-1225.
18. Robert C, Casella G. Monte Carlo Statistical Methods. Springer: Berlin, 2005.
19. Smith RL. Maximum likelihood estimation in a class of nonregular cases. Biometrika 1985; 72:67-90.
20. Lappalainen J, Krupitsky E, Remizov M, Pchelina S, Taraskina A, Zvartau E, Somberg LK, Covault J, Kranzler HR, Krystal JH, Gelernter J. Association between alcoholism and gamma-amino butyric acid α2 receptor subtype in a Russian population. Alcoholism: Clinical and Experimental Research 2005; 29:493-498. (Pubitemid 40547851)
21. Pierucci-Lagha A, Covault J, Feinn R, Nellissery M, Hernandez-Avila C, Oncken C, Morrow AL, Kranzler HR. GABRA2 alleles moderate the subjective effects of alcohol, which are attenuated by finasteride. Neuropsychopharmacology 2005; 30:1193-1203. (Pubitemid 40720979)
22. Burmen A, Puhan J, Tuma T. Grid restrained Nelder-Mead algorithm. Computational Optimization and Applications 2006; 34:359-375.
23. Berger JO. Statistical Decision Theory and Bayesian Analysis. Springer: Berlin, 1985.
24. Hoerl EA, Kennard WR. Ridge regression: biased estimation for nonorthogonal problems. Technometrics 1970; 12:55-67.
25. Marroquin J, Mitter S, Poggio T. Probabilistic solution of ill-posed problems in computational vision. Journal of the American Statistical Association 1987; 82:76-89.