Survival, Longitudinal And Multivariate Data Working Group (SLAM)
Johns Hopkins Bloomberg School of Public Health
General Goal: The purpose of this working group is to generate discussion for updated research in Survival, Longitudinal And Multivariate data analysis. Discussion topics of the working group meetings include i) selected internal and external Biostatistics PhD dissertations, ii) interesting research articles in related fields, and iii) Biostatistics faculty research papers.
Meeting Schedules:
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Date/ Location |
Presentation Topic/ Presenters/ Abstract/ Reference |
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Friday 12-1:30, Sept. 23, 2005, SPH W4013 |
Topic: "Truncation, Length Bias and Prevalent Sampling" Presenter:
Mei-Cheng
Wang |
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Friday 12:15-1:30, Oct. 7, 2005, SPH W4013 |
Topic: "Dealing with Measurement error in survival analysis" Presenter: Ciprian Crainiceanu |
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Friday 12:15-1:30, Oct. 21, 2005, SPH W4013 |
Topic: "Nonparametric estimation of the joint distribution of survival time and mark variable" Presenters: Xianghua Luo, Haitao Chu 3. Stute, W. (1993) Consistent estimation under random censorship when covariables are present. Journal of multivariate analysis, 45, 89-109. (search the journal by yourself) 4. Dissertation. Quality-adjusted survival analysis, by Huang, Yijian, PhD, UNIVERSITY OF MINNESOTA, 1997, 114 pages (free download temporarily) |
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Friday 12:15-1:30, Nov. 11, 2005, SPH W4013 |
Topic: "Accelerated hazards model and its extensions"
2. Chen, YQ and Wang, M-C (2000) Analysis of accelerated hazards models JASA 95 (450): 608-618 |
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Friday 12:15-1:30, Dec. 9, 2005, SPH W4013 |
Topic: "Estimating a Treatment Effect from Multidimensional Longitudinal Data" Presenters: Sheng Luo, Hongfei Guo
1. Sarah M. Gray and Ron Brookmeyer (1998) Estimating a Treatment Effect from Multidimensional Longitudinal Data. Biometrics 54 976-988. 2. Sarah M. Gray and Ron Brookmeyer (2000) Multidimensional Longitudinal Data: Estimating a Treatment Effect From Continuous, Discrete, or Time-to-Event Response Variables. JASA, 95, 396-406 |
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Friday 12:15-1:30, Jan. 27, 2006, SPH W4013 |
Topic: "Analysis of multiple indicators using latent class regressions" Presenters: Yi Huang, Brian Egleston
1. Huang GH, Bandeen-Roche K, Rubin GS (2002) Building marginal models for multiple ordinal measurements. Journal of the Royal Statistical Society, Series C (Applied Statistics) 51(1):37-57. 2. Huang GH, Bandeen-Roche K (2004) Building an identifiable latent variable model with covariate effects on underlying and measured variables. Psychometrika 69(1):5-32. 3. Huang GH (2005) Selecting the number of classes under latent class regression: a factor analytic analogue. Psychometrika 70(2):325-345. 4. Karen Bandeen-Roche; Diana L. Miglioretti; Scott L. Zeger; Paul J. Rathouz (1997). Latent Variable Regression for Multiple Discrete Outcomes. JASA, 92(440) , 1375-1386. |
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Friday 12:15-1:30, Feb. 10, 2006, SPH W4013 |
Topic: Surrogate endpoints in clinical trials: a Markov Chain Monte Carlo approach Presenters: Weiwei Wang and Xianbin Li
1. Xu, Jane and Zeger, Scott L. (2001) The evaluation of multiple surrogate endpoints Biometrics, 57, 81-87 2. Xu, Jane and Zeger, Scott L. (2001) Joint analysis of longitudinal data comprising repeated measures and times to events Journal of the Royal Statistical Society, Series C: Applied Statistics, 50, 375-387 |
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Friday 1:30-3:00pm Feb. 24, 2006 SPH E6519 |
Topic: Multi-path change point problems Presenter: Dr. Masoud Asgharian , McGil University Note: There are changes in time & room ! |
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(3/21 -3/25 Spring break) | |
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Friday 12:15-1:30, April 7, 2006 SPH 4013 |
Topic: Sensitivity Analysis in Action: Case Study of Informative Censoring in a Randomized Trial Presenter: Dr. Daniel Scharfstein
1. Scharfstein DO and Robins JM: Estimation of
the Failure Time Distribution in the Presence of Informative Right
Censoring, Biometrika 89:617-635, 2002. |
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Friday 12:15-1:30, April 21, 2006 SPH 4013 |
Topic: Latent Variables: Truth, Lies, and Everything Between Presenter: Dr. Karen Bandeen-Roche
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Friday 12:15-1:30, May 26, 2006 SPH 4013 |
Topic: Induced Informative Censoring Revisited: Applications to Analysis of Medical Cost and Quality Adjusted Lifetime Presenters: Gary Chan and Kenny Shum
1. Bang H. and Tsiatis A. A. (2000) Estimating medical costs with censored data. Biometrika 87, 329-343. 2. Lin, D. Y. (2000a). Linear regression of censored medical costs. Biostatistics 1, 35-47. 3. Lin, D. Y., Etzioni R., Feuer E. J. and Wax Y. (1997). Estimating medical costs from incomplete follow-up data. Biometrics 53, 419-434. 4. Zhao H. and Tsiatis, A. A. (1997). A consistent estimator for the distribution of quality adjusted survival time. Biometrika 84, 339-348. |
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Group Members:
Student/Post-doc: Yi Huang yhuang@jhsph.edu; Hongfei Guo hfguo@jhsph.edu; Honghong Zhu hozhu@jhsph.edu;Yu-Jen Cheng ycheng3@jhsph.edu;Yong Chen yonchen@jhsph.edu; Sheng T. Luo sluo@jhsph.edu; Deng, Lijuan ldeng@jhsph.edu; Zhang, Lei lezhang@jhsph.edu; Kwun Chuen Chan kcchan@jhsph.edu; Weiwei Wang wewang@jhsph.edu; Qing Li qli@jhsph.edu; Jing Ning jning@jhsph.eda; Xianghua Luo xluo@jhsph.edu; Georgiana Onicescu gonicesc@jhsph.edu; Hao Wu hwu@jhsph.edu; Xianbin Li xli@jhsph.edu; Fan Li fli@jhsph.edu;Yu Chuan Tai yuchuan@stat.Berkeley.EDU; Marco Carone mcarone@jhsph.edu;
Faculty: Haitao Chu hchu@jhsph.edu; Jay Herson mailto:%20jay.herson@earthlink.net; Dan scharfstein dscharf@jhsph.edu; Karen Bandeen-Roche kbandeen@jhsph.edu; Zhiqiang Tan ztan@jhsph.edu; Ciprian Crainiceanu ccrainic@jhsph.edu; Mei-Cheng Wang mcwang@jhsph.edu;
Coordinator: Mei-Cheng Wang
Last edited: 06 September, 2006
Send email to xluo@jhsph.edu (Xianghua Luo)