This proposal is to continue, for an additional five years, the training of Biostatistics students who have a strong interest in collaborative AIDS research. The proposed training is for four predoctoral and two postdoctoral trainees. The program faculty consists of thirty-seven UCLA professors, seven of whom are key faculty, nine are Biostatistics faculty (six key and 3 significant contributors) with a commitment to AIDS research, and twenty-seven supporting faculty. This multidisciplinary group is composed of internationally known HIV/AIDS researchers in biostatistics, biomathematics, genetics, epidemiology, medicine, immunology, virology, psychology, and psychiatry. The training for predoctoral students will center on the Biostatistics Ph.D. program with specific courses in HIV/AIDS making up the required "third field of application" component of the program. In addition, trainees will be required to take "Statistical Methods in AIDS Research" and attend the Biostatistics "Seminar in AIDS," as well as choose an AIDS related topic for the required year-long doctoral consulting course. The AIDS courses will satisfy the requirements for a minor specialization required for Ph.D. students in the department. Predoctoral trainees will develop biostatistical methodology applicable and relevant to AIDS research for their dissertations. Postdoctoral AIDS trainees will be drawn from two pools: graduates with doctorates in statistics or biostatistics, and graduates with doctorates in biology, social science, or other non-statistical areas. All students will be expected to engage in collaborative research in AIDS, and to publish statistical articles relating to AIDS research. Students with a statistics background will learn more of the biology of AIDS, while the students without a statistics background will learn more statistics methodology, particularly areas such as longitudinal data analysis and multivariate analysis which are needed to develop statistical methods useful to AIDS researchers. The multidisciplinary supporting faculty will provide opportunities for long-term collaborative research and will also serve an education function for the students learning more of the biological aspects of HIV. Participation in the American Statistical Association annual meetings and AIDS meetings are encouraged and participation in two or three AIDS conferences at UCLA will be required each year. Detailed recruitment strategies for minorities have been made, and there is a mentoring mechanism to make sure that additional help is available to ensure graduation.

National Institute of Health (NIH)
National Institute of Allergy and Infectious Diseases (NIAID)
Institutional National Research Service Award (T32)
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Acquired Immunodeficiency Syndrome Research Review Committee (AIDS)
Program Officer
Sharma, Opendra K
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University of California Los Angeles
Biostatistics & Other Math Sci
Schools of Public Health
Los Angeles
United States
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Gill, Mandev S; Lemey, Philippe; Faria, Nuno R et al. (2013) Improving Bayesian population dynamics inference: a coalescent-based model for multiple loci. Mol Biol Evol 30:713-24
Zhu, Yuda; Weiss, Robert E (2013) Modeling seroadaptation and sexual behavior among HIV+ study participants with a simultaneously multilevel and multivariate longitudinal count model. Biometrics 69:214-24
Novembre, John; Han, Eunjung (2012) Human population structure and the adaptive response to pathogen-induced selection pressures. Philos Trans R Soc Lond B Biol Sci 367:878-86
Kovalchik, Stephanie A (2012) Mother's CD4+ count moderates the risk associated with higher parity for late postnatal HIV-free survival of breastfed children: an individual patient data meta-analysis of randomized controlled trials. AIDS Behav 16:79-85
Loeb, Tamra B; Gaines, Tommi; Wyatt, Gail E et al. (2011) Associations between child sexual abuse and negative sexual experiences and revictimization among women: does measuring severity matter? Child Abuse Negl 35:946-55
Bloomquist, Erik W; Suchard, Marc A (2010) Unifying vertical and nonvertical evolution: a stochastic ARG-based framework. Syst Biol 59:27-41
Bloomquist, Erik W; Dorman, Karin S; Suchard, Marc A (2009) StepBrothers: inferring partially shared ancestries among recombinant viral sequences. Biostatistics 10:106-20
Sim, Myung Shin K; Cumberland, William G; Duan, Naihua et al. (2009) Modeling vertical transmission of HIV: imperfect vaccines can be of benefit. Vaccine 27:7003-10
Crespi, Catherine M; Boscardin, W John (2009) Bayesian Model Checking for Multivariate Outcome Data. Comput Stat Data Anal 53:3765-3772
Koniak-Griffin, Deborah; Lesser, Janna; Henneman, Tanya et al. (2008) HIV prevention for Latino adolescent mothers and their partners. West J Nurs Res 30:724-42

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