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Alaattin Erkanli

Associate Professor of Biostatistics & Bioinformatics
Biostatistics & Bioinformatics, Division of Biostatistics
Hock Plaza Box 2721, Durham, NC 27710
Duke University Medical Center 2424, Erwin Road Suite 110 Hock Plaza Box 2721, Durham, NC 27710

Featured Works


Bayesian semi-parametric ROC analysis.

Journal article Stat Med · November 30, 2006 Featured Publication This paper describes a semi-parametric Bayesian approach for estimating receiver operating characteristic (ROC) curves based on mixtures of Dirichlet process priors (MDP). We address difficulties in modelling the underlying distribution of screening scores ... Full text Link to item Cite

Application of Bayesian modeling of autologous antibody responses against ovarian tumor-associated antigens to cancer detection.

Journal article Cancer Res · February 1, 2006 Featured Publication Biomarkers for early detection of epithelial ovarian cancer (EOC) are urgently needed. Patients can generate antibodies to tumor-associated antigens (TAAs). We tested multiplex detection of antibodies to candidate ovarian TAAs and statistical modeling for ... Full text Link to item Cite

Application of Bayesian inference using Gibbs sampling to item-response theory modeling of multi-symptom genetic data.

Journal article Behav Genet · November 2005 Featured Publication Several "genetic" item-response theory (IRT) models are fitted to the responses of 1086 adolescent female twins to the 33 multi-category item Mood and Feeling Questionnaire relating to depressive symptomatology in adolescence. A Markov-chain Monte Carlo (M ... Full text Link to item Cite

Genetic and environmental influences on the relative timing of pubertal change.

Journal article Twin Res · October 2004 Featured Publication A multicategory item-response theory model was developed to characterize developmental changes in three items relating to the assessment of puberty in adolescent twin girls and boys. The model allowed for the fixed effects of age on probability of endorsin ... Full text Link to item Cite

Effects of age at first substance use and psychiatric comorbidity on the development of substance use disorders.

Journal article Drug Alcohol Depend · September 6, 2004 Featured Publication In this paper, we examine the effects of age at first substance use, and history of psychiatric disorders, on the development of substance use disorder (SUD) by age 16. We use a prospective, longitudinal design to disaggregate the effects of age at first u ... Full text Link to item Cite

Resolving multiple epigenetic pathways to adolescent depression.

Journal article J Child Psychol Psychiatry · October 2003 Featured Publication BACKGROUND: Genotype x environment interaction (G x E) arises when genes influence sensitivity to the environment. G x E is easily recognized in experimental organisms that permit randomization of genotypes over fixed environmental treatments. Genotype-env ... Full text Link to item Cite

Markov Chain Monte Carlo approaches to analysis of genetic and environmental components of human developmental change and G x E interaction.

Journal article Behav Genet · May 2003 Featured Publication The linear structural model has provided the statistical backbone of the analysis of twin and family data for 25 years. A new generation of questions cannot easily be forced into the framework of current approaches to modeling and data analysis because the ... Full text Link to item Cite

Psychiatric disorder, impairment, and service use in rural African American and white youth.

Journal article Arch Gen Psychiatry · October 2002 Featured Publication BACKGROUND: The Caring for Children in the Community Study examined the prevalence of DSM-IV psychiatric disorders and correlates of mental health service use in rural African American and white youth. METHODS: Four thousand five hundred youth aged 9 to 17 ... Full text Link to item Cite

Bayesian analyses of longitudinal binary data using Markov regression models of unknown order.

Journal article Stat Med · March 15, 2001 Featured Publication We present non-homogeneous Markov regression models of unknown order as a means to assess the duration of autoregressive dependence in longitudinal binary data. We describe a subject's transition probability evolving over time using logistic regression mod ... Full text Link to item Cite

Stimulant treatment for children: a community perspective.

Journal article J Am Acad Child Adolesc Psychiatry · August 2000 Featured Publication OBJECTIVE: To examine the use of prescribed stimulants in relation to research diagnoses of attention-deficit hyperactivity disorder (ADHD) in a community sample of children. METHOD: Data from 4 annual waves of interviews with 9- to 16-year-olds from the G ... Full text Link to item Cite

Bayesian inference for prevalence in longitudinal two-phase studies.

Journal article Biometrics · December 1999 Featured Publication We consider Bayesian inference and model selection for prevalence estimation using a longitudinal two-phase design in which subjects initially receive a low-cost screening test followed by an expensive diagnostic test conducted on several occasions. The ch ... Full text Link to item Cite

Bayesian inference in two-phase prevalence studies.

Journal article Stat Med · May 30, 1997 Featured Publication This paper discusses Bayesian methods for the assessment of the prevalence of a disorder based on data from a two-phase design with a short screening instrument administered at the first phase followed by an in-depth diagnostic instrument given at the seco ... Full text Link to item Cite