Daniel J Westreich
Affiliation: University of North Carolina
- Comparison of group testing algorithms for case identification in the presence of test errorHae Young Kim
Department of Biostatistics, School of Public Health, University of North Carolina at Chapel Hill, 3107 E McGavran Greenberg Hall, Chapel Hill, North Carolina 27599, USA
Biometrics 63:1152-63. 2007..The methodology is illustrated by comparing different pooling algorithms for the detection of individuals recently infected with HIV in North Carolina and Malawi...
- Propensity score estimation: neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regressionDaniel Westreich
Department of Epidemiology, University of North Carolina at Chapel Hill, NC 27599 7435, USA
J Clin Epidemiol 63:826-33. 2010..Our objective in this review was to assess machine learning alternatives to logistic regression, which may accomplish the same goals but with fewer assumptions or greater accuracy...
- Imputation approaches for potential outcomes in causal inferenceDaniel Westreich
Department of Epidemiology, Gillings School of Global Public Health, UNC Chapel Hill, NC, USA
Int J Epidemiol 44:1731-7. 2015..Though often not discussed explicitly in the epidemiological literature, the connections between causal inference and missing data can provide additional intuition...
- Representation of women and pregnant women in HIV research: a limited systematic reviewDaniel Westreich
Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
PLoS ONE 8:e73398. 2013..HIV-related outcomes may be affected by biological sex and by pregnancy. Including women in general and pregnant women in particular in HIV-related research is important for generalizability of findings...
- Invited commentary: positivity in practiceDaniel Westreich
Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27599 7435, USA
Am J Epidemiol 171:674-7; discussion 678-81. 2010..In addition, the commentators illustrate positivity in simple 2 x 2 tables, as well as detail some ways in which epidemiologists may examine their data for nonpositivity and deal with violations of positivity in practice...
- Tuberculosis treatment and risk of stavudine substitution in first-line antiretroviral therapyDaniel J Westreich
Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, NC 27599 7435, USA
Clin Infect Dis 48:1617-23. 2009..We estimated the effect of TB treatment on risk of stavudine substitution among individuals receiving first-line HAART...
- Effect of pulmonary tuberculosis on mortality in patients receiving HAARTDaniel Westreich
Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina 27599 7435, USA
AIDS 23:707-15. 2009..To estimate the effect of ongoing treatment for pulmonary tuberculosis (PTB) at time of initiation of HAART on subsequent risk of death...
- Optimizing screening for acute human immunodeficiency virus infection with pooled nucleic acid amplification testsDaniel J Westreich
Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
J Clin Microbiol 46:1785-92. 2008..Used selectively and carefully, the simple models developed here can guide the selection of a pooling algorithm for the detection of AHI cases in a wide variety of settings...
- Reduction in diarrhoeal rates through interventions that prevent unnecessary antibiotic exposure early in life in an observational birth cohortElizabeth T Rogawski
Department of Epidemiology, UNC Chapel Hill, Chapel Hill, North Carolina, USA
J Epidemiol Community Health 70:500-5. 2016..We estimated the impact of realistic interventions, which would prevent unnecessary antibiotic exposures before 6 months of age, on reducing childhood diarrhoeal rates...
- Effect of pregnancy and the postpartum period on adherence to antiretroviral therapy among HIV-infected women established on treatmentCassidy E Henegar
Department of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa and Division of Infectious Diseases, Department of Medicine, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC
J Acquir Immune Defic Syndr 68:477-80. 2015..46, 95% confidence interval: 1.17 to 1.82) but not during pregnancy itself (weighted risk ratio: 0.95, 95% confidence interval: 0.78 to 1.17). ..
- Brief Report: Estimating Differences and Ratios in Median Times to EventElizabeth T Rogawski
From the aDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC bDivision of Gastrointestinal Sciences, Christian Medical College, Vellore, India and cDivision of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, MA
Epidemiology 27:848-51. 2016..The SAS macro provided here should facilitate the wider reporting of time differences and time ratios. ..
- A comparison of methods to estimate the hazard ratio under conditions of time-varying confounding and nonpositivityAshley I Naimi
Department of Epidemiology, Gillings School of Global Public Health, UNC Chapel Hill, NC 27599, USA
Epidemiology 22:718-23. 2011....