Applied Survival Analysis, May 13, 2008
Bayesian Biostatistics, May 14-15, 2008
The Department of Biostatistics at the University of North Carolina at Chapel Hill is pleased to announce workshops in Applied Survival Analysis and in Bayesian Biostatistics. Cosponsored by SAS Institute, the workshops will be held May 13-15 in Chapel Hill, NC. Applied Survival Analysis, led by Professor Jianwen Cai, winner of the 2004 McGavran Award for teaching and associate chair of Biostatistics, will introduce basic and advanced concepts of applied survival analysis, with emphasis on implementation in SAS software. Bayesian Biostatistics, led by Alumni Distinguished Professor of Biostatistics Joseph G. Ibrahim, will provide an introduction to Bayesian methods as well as practical examples using new software from SAS.
Applied Survival Analysis, May 13, 2008
Audience
Practicing biostatisticians and other public health researchers at the MS or PhD level interested in learning about methods for analysis of survival data.
Topics to be covered
The course will introduce the basic concepts in the analysis of survival data with orientation towards application and interpretation. Examples will be drawn mostly from medical and epidemiologic research. Course topics include censoring, Kaplan-Meier estimation, the log-rank test, the Cox proportional hazards model, time-dependent covariates, stratification, left truncation, model diagnostics, and models for multivariate failure times.
Learning objectives
Gain basic knowledge of censored survival data
Understand methods for analyzing censored survival data for one sample problems, two sample problems, and with the Cox proportional hazards model
Understand the use of SAS in handling time-dependent covariates, dealing with left truncated data, checking model assumptions, and fitting multivariate survival models
Prerequisites:
Familiarity with basic principles of statistical inference and linear regression
Basic knowledge of SAS software (at the level of using PROC REG or PROC LOGISTIC, for example)
No previous knowledge of survival analysis is assumed
Registration fees: $350 if you register by April 25; $425 after April 25. Student fee: $175
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Bayesian Biostatistics, May 14-15, 2008
Audience
Practicing biostatisticians and other public health researchers at the MS or PhD level interested in learning about the application of Bayesian methods for data analysis.
Topics to be covered
Introduction: Bayesian versus frequentist inference; Bayes’ theorem; prior, posterior, and predictive distributions; inference and prediction; interval estimation; choice of prior distributions, including noninformative and informative prior distributions; model assessment
Simulation-based computation: introduction to Markov chain Monte Carlo (MCMC) methods; Metropolis-Hastings and Gibbs sampling; adaptive rejection sampling; burn-in; thinning; assessing Markov chain convergence; trace plots; summarizing and presenting results
Case studies: linear regression model, logistic regression model, parametric survival model, Cox proportional hazards model with analysis via new Bayesian capabilities in the GENMOD, LIFEREG, and PHREG procedures.
Brief introduction to the new experimental MCMC procedure, which is a general purpose Markov chain Monte Carlo (MCMC) simulation procedure.
Learning objectives
- Understand basic principles of Bayesian methods for data analysis
- Understand Bayesian approaches for fitting linear models, generalized linear models, and survival models
- Understand Bayesian approaches for design and analysis of clinical trials
- Understand the use of new features for Bayesian inference available in SAS software
Prerequisites:
- Familiarity with basic statistical methods, including linear regression logistic regression, and survival analysis
- Basic knowledge of SAS software (at the level of using PROC REG, PROC LOGISTIC, or PROC PHREG, for example)
- No previous exposure to Bayesian inference is assumed
Registration fees: $650 if you register by April 25; $800 after April 25. Student fee: $325
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Hotel and conference center information
The workshops will be held at the Kenan-Flagler Business School’s Paul J. Rizzo Conference Center. Located in Chapel Hill, North Carolina, this world-class executive education center features leading technology classrooms and outstanding facilities in a pastoral setting. A block of rooms will be held on site at the Rizzo Center for the meeting rate of $169.50 per night, which includes a full hot breakfast. Please contact the Rizzo Center directly at 919-913-2098 for reservations or visit their reservations website.
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Registration
Register online or call 919-966-4032.
Registration policies
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