- A bayesian two-part latent class model for longitudinal medical expenditure data: assessing the impact of mental health and substance abuse parityBrian Neelon
Nicholas School of the Environment, Duke University, Durham, North Carolina 27708, USA
Biometrics 67:280-9. 2011..By examining the joint 95% highest probability density regions of expected changes in use and spending for each class, we confirmed that parity had an impact only on the moderate spender class...
- A Bayesian growth mixture model to examine maternal hypertension and birth outcomesBrian Neelon
Children s Environmental Health Initiative, Nicholas School of the Environment, Duke University, Durham, NC 27708, USA
Stat Med 30:2721-35. 2011..We apply our model to a sample of 1027 women enrolled in the Healthy Pregnancy, Healthy Baby Study, a prospective cohort study of host, social, and environmental contributors to disparities in pregnancy outcomes...
- Blood lead levels among pregnant women: historical versus contemporaneous exposuresMarie Lynn Miranda
Nicholas School of the Environment, Duke University, Durham, NC 27708, USA
Int J Environ Res Public Health 7:1508-19. 2010..This work emphasizes the importance of addressing sources of environmental lead exposure in the United States and internationally...
- Accurately predicting bipolar disorder mood outcomes: implications for the use of electronic databasesAlisa B Busch
McLean Hospital, Belmont, MA 02478, USA
Med Care 50:311-9. 2012..Monitoring mental health treatment outcomes for populations requires an understanding as to which patient information is needed in electronic format and is feasible to obtain in routine care...