Research Topics
| Stephen ColeSummaryAffiliation: University of North Carolina Country: USA Publications
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Detail Information
Publications
Incidence of lipoatrophy and lipohypertrophy in the women's interagency HIV studyPhyllis C Tien
Department of Medicine, University of California at San Francisco, San Francisco Veterans Affairs Medical Center, San Francisco, CA 94121, USA
J Acquir Immune Defic Syndr 34:461-6. 2003..To estimate the incidence of lipoatrophy and lipohypertrophy among HIV-infected and HIV-uninfected women from the Women's Interagency HIV Study...- Adjusted survival curves with inverse probability weightsStephen R Cole
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe Street E 7014, Baltimore, MD 21205, USA
Comput Methods Programs Biomed 75:45-9. 2004..When the weights are non-parametrically estimated, this method is equivalent to direct standardization of the survival curves to the combined study population... - Structural accelerated failure time models for survival analysis in studies with time-varying treatmentsMiguel A Hernán
Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
Pharmacoepidemiol Drug Saf 14:477-91. 2005..The parameters of nested structural models are estimated by g-estimation and those of marginal structural models by inverse probability weighting... - Effect of highly active antiretroviral therapy on multiple AIDS-defining illnesses among male HIV seroconvertersLauren E Cain
Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, 615 North Wolfe Street E7640, Baltimore, MD 21205, USA
Am J Epidemiol 163:310-5. 2006..34 (95% CI: 0.25, 0.45) relative to the reference calendar period. HAART protects against initial and subsequent AIDS-defining illnesses, whose inclusion in analysis markedly increased the precision of the estimated hazard ratio... - Combined analysis of retrospective and prospective occurrences in cohort studies: HIV-1 serostatus and incident pneumoniaStephen R Cole
Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
Int J Epidemiol 35:1442-6. 2006..The authors show how information collected on retrospective occurrence times may be combined with prospective occurrence times in the analysis of recurrent events from cohort studies... 
Bayesian posterior distributions without Markov chainsStephen R Cole
Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 27599 7435, USA
Am J Epidemiol 175:368-75. 2012..The transparency of the proposed approach comes at a price of being less broadly applicable than MCMC...- Marginal structural models for case-cohort study designs to estimate the association of antiretroviral therapy initiation with incident AIDS or deathStephen R Cole
Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 27599 7435, USA
Am J Epidemiol 175:381-90. 2012..Marginal structural model analysis of case-cohort study designs provides a cost-efficient design coupled with an accurate analytic method for research settings in which there is time-varying confounding... - Generalizing evidence from randomized clinical trials to target populations: The ACTG 320 trialStephen R Cole
Department of Epidemiology, Center for AIDS Research, University of North Carolina, Chapel Hill, USA
Am J Epidemiol 172:107-15. 2010..The proposed method standardizes observed trial results to a specified target population and thereby provides information regarding the generalizability of trial results... - Constructing inverse probability weights for marginal structural modelsStephen R Cole
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
Am J Epidemiol 168:656-64. 2008..However, as with all methods, diagnostics and sensitivity analyses are essential for proper use... - Using marginal structural measurement-error models to estimate the long-term effect of antiretroviral therapy on incident AIDS or deathStephen R Cole
University of North Carolina Gillings School of Global Public Health, MacGavran Greenberg Hall, CB 7435, Chapel Hill, NC 27599 7435, USA
Am J Epidemiol 171:113-22. 2010.... 
Nonparametric estimator of relative time with application to the Acyclovir Prevention TrialStephen R Cole
Department of Epidemiology, UNC, Chapel Hill, NC 27599 7435, USA
Clin Trials 6:320-8. 2009..Relative hazard is a central measure of association in randomized clinical trials. Relative time (RT) is a competing measure that is rarely used...- Estimating the odds ratio when exposure has a limit of detectionStephen R Cole
Department of Epidemiology and Center for AIDS Research, University of Northern California at Chapel Hill, NC, USA
Int J Epidemiol 38:1674-80. 2009..In epidemiologic research, little emphasis has been placed on methods to account for left-hand censoring of 'exposures' due to a limit of detection (LOD)... - Illustrating bias due to conditioning on a colliderStephen R Cole
Department of Epidemiology, UNC Gillings School of Global Public Health, Chapel Hill, NC, USA
Int J Epidemiol 39:417-20. 2010..In both examples, conditioning on the common effect imparts an association between two otherwise independent variables; we call this selection bias... - Copy-years viremia as a measure of cumulative human immunodeficiency virus viral burdenStephen R Cole
Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599 7435, USA
Am J Epidemiol 171:198-205. 2010..Copy-years viremia, a novel measure of cumulative viral burden, may provide prognostic information beyond traditional single measures of viremia... - Multiple-imputation for measurement-error correctionStephen R Cole
Department of Epidemiology, 615 Norht Wolfe Street, E7640, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
Int J Epidemiol 35:1074-81. 2006..There are many methods for measurement-error correction. These methods remain rarely used despite the ubiquity of measurement error... - Confidence intervals for biomarker-based human immunodeficiency virus incidence estimates and differences using prevalent dataStephen R Cole
Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
Am J Epidemiol 165:94-100. 2007..The Monte Carlo-based CI may be preferable to competing methods because of the ease of extension to the incidence difference or to exploration of departures from assumptions... - The effects of opiate use and hepatitis C virus infection on risk of diabetes mellitus in the Women's Interagency HIV StudyAndrea A Howard
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
J Acquir Immune Defic Syndr 54:152-9. 2010..Opiate use is common in HIV-infected and hepatitis C virus (HCV)-infected individuals, however, its contribution to the risk of diabetes mellitus is not well understood... - Competing risk regression models for epidemiologic dataBryan Lau
Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland 21287, USA
Am J Epidemiol 170:244-56. 2009..71, 95% confidence interval: 1.37, 2.13 and (sd)RH = 2.01, 95% confidence interval: 1.62, 2.51). Methods for competing risks should be used by epidemiologists, with the choice of method guided by the scientific question... - Incidence and epidemiology of anal cancer in the multicenter AIDS cohort studyGypsyamber D'Souza
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
J Acquir Immune Defic Syndr 48:491-9. 2008..To examine the incidence and risk factors for anal cancer in a multicenter cohort of human immunodeficiency virus (HIV) positive and HIV-negative men who have sex with men followed between 1984 and 2006 (Multicenter AIDS Cohort Study)... - Effect of highly active antiretroviral therapy on time to acquired immunodeficiency syndrome or death using marginal structural modelsStephen R Cole
Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
Am J Epidemiol 158:687-94. 2003..Standard Cox analysis failed to detect a clear net benefit, because it does not appropriately adjust for time-dependent covariates, such as HIV RNA level and CD4 cell count, that are simultaneously confounders and intermediate variables... - A simulation study of control sampling methods for nested case-control studies of genetic and molecular biomarkers and prostate cancer progressionMing Hsi Wang
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, and Department of Medicine, Saint Agnes Hospital, Room E6132, 615 North Wolfe Street, Baltimore, MD 21205, USA
Cancer Epidemiol Biomarkers Prev 18:706-11. 2009..Thus, we examined the validity of relative risk (RR) estimates of prostate cancer progression using three methods for control sampling from cohorts of men with prostate cancer generated by Monte Carlo simulation... - Estimating biomarker-based HIV incidence using prevalence data in high risk groups with missing outcomesHaitao Chu
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
Biom J 48:772-9. 2006..Our methods can be applied to estimate the incidence of other diseases from prevalence data using similar testing algorithms when missing data is present... - Antiretroviral therapy and the prevalence and incidence of diabetes mellitus in the multicenter AIDS cohort studyTodd T Brown
Department of Medicine, School of Medicine, The Johns Hopkins University, Baltimore, MD, USA
Arch Intern Med 165:1179-84. 2005..The risk of diabetes mellitus (DM) in human immunodeficiency virus (HIV)-infected patients receiving highly active antiretroviral therapy (HAART) has not been well defined... - Postnatal HIV-1 transmission after cessation of infant extended antiretroviral prophylaxis and effect of maternal highly active antiretroviral therapyTaha E Taha
Dept of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore, MD 21205, USA
J Infect Dis 200:1490-7. 2009..The association between postnatal human immunodeficiency virus type 1 (HIV-1) transmission and maternal highly active antiretroviral therapy (HAART) after infant extended antiretroviral prophylaxis was assessed... - A comparison of ad hoc methods to account for non-cancer AIDS and deaths as competing risks when estimating the effect of HAART on incident cancer AIDS among HIV-infected menMeredith S Shiels
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
J Clin Epidemiol 63:459-67. 2010.... - Enrollment, retention, and visit attendance in the University of North Carolina Center for AIDS Research HIV clinical cohort, 2001-2007Chanelle J Howe
Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina 27599 7435, USA
AIDS Res Hum Retroviruses 26:875-81. 2010..The UNC CFAR clinical cohort has ample enrollment with retention and visit attendance modestly influenced by factors such as disease severity... - Effect of highly active antiretroviral therapy on incident AIDS using calendar period as an instrumental variableLauren E Cain
Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
Am J Epidemiol 169:1124-32. 2009..These methods may help resolve discrepancies between observational and randomized evidence... - Effect of HAART on incident cancer and noncancer AIDS events among male HIV seroconvertersMeredith S Shiels
Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, 615 North Wolfe Street, Room E7133, Baltimore, MD 21205, USA
J Acquir Immune Defic Syndr 48:485-90. 2008..To explore the impact of highly active antiretroviral therapy (HAART) on the prevention of AIDS-defining cancers relative to other AIDS-defining events... - Time scale and adjusted survival curves for marginal structural cox modelsDaniel Westreich
Department of Epidemiology, Universityof North Carolina, Chapel Hill, NorthCarolina, USA
Am J Epidemiol 171:691-700. 2010..In the present example, use of time on treatment yielded a hazard ratio further from the null and more precise than use of time on study as the time scale... - 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... - Estimation and inference for case-control studies with multiple non-gold standard exposure assessments: with an occupational health applicationHaitao Chu
Department of Biostatistics and Lineberger Comprehensive Cancer Center, The University of North Carolina, Chapel Hill, NC 27599, USA
Biostatistics 10:591-602. 2009..The performance of this method is investigated through simulation studies and applied to the National Occupational Hazard Survey, a case-control study assessing the association between asbestos exposure and mesothelioma... - Effects of time-varying exposures adjusting for time-varying confounders: the case of alcohol consumption and risk of incident human immunodeficiency virus infectionChanelle J Howe
Department of Epidemiology, Gillings School of Global Public Health, The University of North Carolina, McGavran Greenberg Hall, Campus Box 7435, Chapel Hill, NC 27599 7435, USA
Int J Public Health 55:227-8. 2010..Discuss issues related to time-varying exposures using as an example the recently meta-analyzed literature (Baliunas et al. in Int J Public Health, 2009) on alcohol consumption and risk of HIV infection... - Determining the effect of highly active antiretroviral therapy on changes in human immunodeficiency virus type 1 RNA viral load using a marginal structural left-censored mean modelStephen R Cole
Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
Am J Epidemiol 166:219-27. 2007..In conclusion, the clinically important protective effect of HAART on dampening viral load appears to be rapid, present at CD4 cell counts greater than 350 cells/mm(3), and sustained beyond 6 years... - Limitation of inverse probability-of-censoring weights in estimating survival in the presence of strong selection biasChanelle J Howe
Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, 27599 7435, USA
Am J Epidemiol 173:569-77. 2011..Approaches to improve correction methods are discussed... - Effect on mortality and virological response of delaying antiretroviral therapy initiation in children receiving tuberculosis treatmentMarcel Yotebieng
Department of Epidemiology, University of North Carolina at Chapel Hill, USA
AIDS 24:1341-9. 2010..To estimate the effect of delaying antiretroviral treatment (ART) for 15, 30, or 60 days after tuberculosis (TB) treatment initiation on mortality and virological suppression... - Accounting for leadtime in cohort studies: evaluating when to initiate HIV therapiesStephen R Cole
Department of Epidemiology, Johns Hopkins University, Baltimore, MD 21205, USA
Stat Med 23:3351-63. 2004..70; 95 per cent CI 0.35, 1.42). Methods presented here offer an approach to analysing prevalent cohort studies and provide procedures to maximize the usefulness of observational data... - On the estimation of disease prevalence by latent class models for screening studies using two screening tests with categorical disease status verified in test positives onlyHaitao Chu
Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
Stat Med 29:1206-18. 2010..In summary, further research is needed to reduce the impact of model misspecification on the estimation of disease prevalence in such settings... - Marginal structural models for estimating the effect of highly active antiretroviral therapy initiation on CD4 cell countStephen R Cole
Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
Am J Epidemiol 162:471-8. 2005.... - Evaluating competing adverse and beneficial outcomes using a mixture modelBryan Lau
Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
Stat Med 27:4313-27. 2008.... - Hierarchical latency models for dose-time-response associationsDavid B Richardson
Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, NC 27599 7435, USA
Am J Epidemiol 173:695-702. 2011.... - Meta-analysis of diagnostic accuracy studies accounting for disease prevalence: alternative parameterizations and model selectionHaitao Chu
Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
Stat Med 28:2384-99. 2009..In summary, the proposed trivariate random effects models are novel and can be very useful in practice for meta-analysis of diagnostic accuracy studies... - A meta-analysis of the incidence of non-AIDS cancers in HIV-infected individualsMeredith S Shiels
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
J Acquir Immune Defic Syndr 52:611-22. 2009..To estimate summary standardized incidence ratios (SIRs) of non-AIDS cancers among HIV-infected individuals compared with general population rates overall and stratified by gender, AIDS, and highly active antiretroviral therapy (HAART) era... - Longitudinal anthropometric patterns among HIV-infected and HIV-uninfected womenJessica E Justman
Department of Epidemiology, Columbia University, New York, NY 10032, USA
J Acquir Immune Defic Syndr 47:312-9. 2008..Previous studies suggest that indicators of central adiposity such as waist-to-hip ratio (WHR) and waist circumference may be altered by HIV infection, antiretroviral treatment, or both... - Sample size and statistical power assessing the effect of interventions in the context of mixture distributions with detection limitsHaitao Chu
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
Stat Med 25:2647-57. 2006..A Monte Carlo simulation study is conducted to investigate the performance of the proposed methods... - Effect of discontinuing antiretroviral therapy on survival of women initiated on highly active antiretroviral therapyYolanda Barron
Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
AIDS 18:1579-84. 2004..To estimate the effect of discontinuing antiretroviral therapy (ART) on survival, among women who initiated highly active antiretroviral therapy (HAART)... - Sensitivity analysis of misclassification: a graphical and a Bayesian approachHaitao Chu
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
Ann Epidemiol 16:834-41. 2006..CONCLUSION: By using Bayesian methods, investigators can incorporate uncertainty about misclassification into probabilistic inferences... - Estimation of cumulative odds ratiosStephen R Cole
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
Ann Epidemiol 14:172-8. 2004..Standard estimation of ordered odds ratios requires the constraint that the etiologic effects of exposure are homogenous across thresholds of the ordered response. We present a method to relax this often-unrealistic constraint... - Sexual activity and Kaposi's sarcoma among human immunodeficiency virus type 1 and human herpesvirus type 8-coinfected menEric W Nawar
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
Ann Epidemiol 18:517-21. 2008..Here, we explore sexual activity as a proxy for a sexually transmitted determinant beyond HIV-1 and HHV-8... - Fallibility in estimating direct effectsStephen R Cole
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
Int J Epidemiol 31:163-5. 2002.... - Cumulative exposure to nucleoside analogue reverse transcriptase inhibitors is associated with insulin resistance markers in the Multicenter AIDS Cohort StudyTodd T Brown
Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA
AIDS 19:1375-83. 2005..To estimate insulin resistance and its relationship to antiretroviral therapy (ART) in a cohort of HIV-infected persons with comparison to HIV-seronegative controls... - Attrition among human immunodeficiency virus (HIV)- infected patients initiating antiretroviral therapy in China, 2003-2010Hao Zhu
Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, North Carolina, United States of America
PLoS ONE 7:e39414. 2012..However, some patients may not benefit from combination antiretroviral therapy (cART) because of inadequate access to HIV care, including attrition after care initiation... - Invited Commentary: Causal diagrams and measurement biasMiguel A Hernán
Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
Am J Epidemiol 170:959-62; discussion 963-4. 2009..g., "adiposity"). The authors conclude that causal diagrams need to be used to represent biases arising not only from confounding and selection but also from measurement... - Effect of acyclovir on herpetic ocular recurrence using a structural nested modelStephen R Cole
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street Room E7640, Baltimore, MD 21205, United States
Contemp Clin Trials 26:300-10. 2005..41 times that of the non-exposed (test-based 95% CI: 0.28, 0.72), or 34% larger than the intent-to-treat estimate. Notwithstanding excellent compliance, intent-to-treat estimates may notably undervalue the causal effect of a treatment... - The effect of HIV infection on overdose mortalityCunlin Wang
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
AIDS 19:935-42. 2005..The data suggest a group to target with interventions to reduce overdose mortality rates... - The association of anemia and hypoalbuminemia with accelerated decline in GFR among adolescents with chronic kidney diseaseSusan L Furth
Department of Pediatrics, Johns Hopkins Children s Center, Baltimore, MD, USA
Pediatr Nephrol 22:265-71. 2007..73 m(2)) (95% CI: 11 to 22 [0.18 to 0.37]). Further study is needed to evaluate whether treatment of anemia or hypoalbuminemia, as outlined in current clinical care guidelines for CKD, may slow the progression of CKD in adolescents... - Determinants of alcohol consumption in HIV-uninfected injection drug usersPetra M Sander
Department of Epidemiology, The Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA
Drug Alcohol Depend 111:173-6. 2010..This study demonstrates that in a large urban cohort of persons with a history of injection drug use, risky drug use and sexual risk behavior are associated with subsequent alcohol consumption... - Use of a marginal structural model to determine the effect of aspirin on cardiovascular mortality in the Physicians' Health StudyNancy R Cook
Division of Preventive Medicine, Department of Medicine, Brigham and Women s Hospital, Harvard Medical School, Boston, MA 02215, USA
Am J Epidemiol 155:1045-53. 2002..65, 1.25). Although the numbers of cardiovascular deaths were insufficient to evaluate this endpoint definitively, use of such methods holds much potential for controlling time-varying confounders affected by previous exposure... - Impact of HIV infection and HAART on serum lipids in menSharon A Riddler
University of Pittsburgh, Pittsburgh, PA, USA
JAMA 289:2978-82. 2003.... - Anthropometrics and examiner-reported body habitus abnormalities in the multicenter AIDS cohort studyFrank J Palella
Northwestern University, Feinberg School of Medicine, Div of Infectious Diseases, Chicago, Illinois 60611, USA
Clin Infect Dis 38:903-7. 2004.... - Use of multiple imputation in the epidemiologic literatureMark A Klebanoff
Division of Epidemiology, Statistics, and Prevention Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892 7510, USA
Am J Epidemiol 168:355-7. 2008..To form a bridge between current and future practice, the authors suggest details that should be included in articles that utilize these procedures... - A family of ordered logistic regression models fit by data expansionTou Choi
Int J Epidemiol 33:1413. 2004 - Effect of tuberculosis on the survival of HIV-infected men in a country with low tuberculosis incidenceHugo Lopez-Gatell
Directorate of Epidemiology, Ministry of Health, Mexico, Mexico
AIDS 22:1869-73. 2008..2-4.7). Results underscore the importance of avoiding TB by using preventive interventions such as treatment of latent TB infection, particularly in populations with a large prevalence of HIV/TB co-infected individuals... - Re: "Confidence intervals for biomarker-based human immunodeficiency virus incidence estimates and differences using prevalent data"Stephen R Cole
Am J Epidemiol 166:861-2. 2007 - Antiretroviral therapy exposure and incidence of diabetes mellitus in the Women's Interagency HIV StudyPhyllis C Tien
San Francisco Veterans Affairs Medical Center, Infectious Disease Section, Department of Medicine, University of California San Francisco, 111W 4150 Clement Street, San Francisco, CA 94121, USA
AIDS 21:1739-45. 2007..To determine the incidence of diabetes mellitus (DM) in a nationally representative cohort of HIV-infected women and a comparison group of HIV-uninfected women... - Prospective study of attitudinal and relationship predictors of sexual risk in the multicenter AIDS cohort studyDavid G Ostrow
David Ostrow and Associates, Chicago MACS Howard Brown Health Center and Northwestern University School of Medicine, 5455 N Sheridan Rd, Suite 1207, Chicago, IL 60640, USA
AIDS Behav 12:127-38. 2008..We conclude that HIV prevention efforts should target modifiable attitudes (reduced concern about HIV and safer sex fatigue) and increases in sexual risk-taking of MSM, particularly among HIV+ men having sex with serodiscordant partners...
Research Grants
- Structural models and direct and indirect effects of alcohol use on HIV infectionStephen Cole; Fiscal Year: 2009..Second, it will provide innovations and detailed worked examples in quantitative methods for complex observational data analysis. ..
- Structural models and direct and indirect effects of alcohol use on HIV infectionStephen R Cole; Fiscal Year: 2010..Second, it will provide innovations and detailed worked examples in quantitative methods for complex observational data analysis. ..