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  • Search: person:"Wei, L.J."
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Year of publication
Subject
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Estimation theory 4 Schätztheorie 4 Confidence band 2 Markov chain 2 Markov-Kette 2 Martingale 2 Monte Carlo simulation 2 Monte-Carlo-Simulation 2 Regression analysis 2 Regressionsanalyse 2 Survival analysis 2 Breslow estimate 1 Competing risks 1 Cox proportional hazards model 1 Empirical Bayes 1 Forecasting model 1 Gaussian process 1 Gene-expession 1 Global Clinical Trials 1 Hierarchical Model 1 Highest Posterior Density Region 1 Kernel estimations 1 Model checking and selection 1 Partial likelihood 1 Prediction 1 Prognoseverfahren 1 Sensitivity analysis 1 Simultaneous confidence interval 1 calibration 1 censoring 1 estimating equation 1 pharmacogenomics 1 pivotal quantity 1 prediction 1 quantile regression 1 survival analysis 1
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Online availability
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Undetermined 27
Type of publication
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Article 38 Book / Working Paper 7
Type of publication (narrower categories)
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Article in journal 4 Aufsatz in Zeitschrift 4
Language
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Undetermined 41 English 4
Author
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Tian, Lu 26 Wei, L. J. 25 Wei, L.J. 17 Cai, Tianxi 10 Uno, Hajime 7 Ying, Z. 7 Tian, L. 5 Liu, Jun S. 4 Cai, T. 3 Liu, Jun 3 Zucker, David 3 Cheng, S.C. 2 Claggett, Brian 2 Lin, D. Y. 2 Solomon, Scott D. 2 Zhao, Lihui 2 Cai T. 1 Cheng S.C. 1 Clemens, John D. 1 Foster A. M. 1 Foster, A.M. 1 Gilbert, Peter B. 1 Glidden, D.V. 1 Goetghebeur, Els 1 Goldwasser, Meredith 1 J, Wei L 1 Jung, S.H. 1 Kosorok, Michael R. 1 Lee, Eric W. 1 Lin, D.Y. 1 Liu, J. 1 Park, Yuhyun 1 Sun, J. 1 Tian L. 1 Wang, W. 1 Wang, Wei 1 Wei L. J. 1 Wei L.J. 1 Y, Lin D 1 Yang, I. 1
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Institution
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Berkeley Electronic Press 7
Published in...
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Journal of the American Statistical Association : JASA 16 Journal of the American Statistical Association 8 Harvard University Biostatistics Working Paper Series 7 Biometrika 6 Biometrics 5 Journal of the Royal Statistical Society Series B 2 Journal of Multivariate Analysis 1
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Source
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RePEc 29 OLC EcoSci 12 ECONIS (ZBW) 4
Showing 1 - 10 of 45
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Effectively Selecting a Target Population for a Future Comparative Study
Zhao, Lihui; Tian, Lu; Cai, Tianxi; Claggett, Brian; … - In: Journal of the American Statistical Association 108 (2013) 502, pp. 527-539
When comparing a new treatment with a control in a randomized clinical study, the treatment effect is generally assessed by evaluating a summary measure over a specific study population. The success of the trial heavily depends on the choice of such a population. In this article, we show a...
Persistent link: https://www.econbiz.de/10010690630
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Effectively Selecting a Target Population for a Future Comparative Study
Zhao, Lihui; Tian, Lu; Cai, Tianxi; Claggett, Brian; … - In: Journal of the American Statistical Association : JASA 108 (2013) 502, pp. 527-539
Persistent link: https://www.econbiz.de/10010141610
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Graphical Procedures for Evaluating Overall and Subject-Specific Incremental Values from New Predictors with Censored Event Time Data
Uno, Hajime; Cai, Tianxi; Tian, Lu; Wei, L. J. - In: Biometrics 67 (2011) 4, pp. 1389-1396
Persistent link: https://www.econbiz.de/10010946647
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Calibrating parametric subject-specific risk estimation
Cai, T.; Tian, L.; Uno, Hajime; Solomon, Scott D.; Wei, … - In: Biometrika 97 (2010) 2, pp. 389-404
For modern evidence-based medicine, decisions on disease prevention or management strategies are often guided by a risk index system. For each individual, the system uses his/her baseline information to estimate the risk of experiencing a future disease-related clinical event. Such a risk...
Persistent link: https://www.econbiz.de/10008675576
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Identifying Subjects Who Benefit from Additional Information for Better Prediction of the Outcome Variables
Tian, L.; Cai, T.; Wei, L. J. - In: Biometrics 65 (2009) 3, pp. 894-902
Persistent link: https://www.econbiz.de/10010946435
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Predicting future responses based on possibly mis-specified working models
Cai, Tianxi; Tian, Lu; Solomon, Scott D.; Wei, L.J. - In: Biometrika 95 (2008) 1, pp. 75-92
Under a general regression setting, we propose an optimal unconditional prediction procedure for future responses. The resulting prediction intervals or regions have a desirable average coverage level over a set of covariate vectors of interest. When the working model is not correctly specified,...
Persistent link: https://www.econbiz.de/10005559277
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Implementation of estimating function-based inference procedures with Markov chain Monte Carlo samplers
Tian, Lu; Liu, Jun S.; Wei, L. J. - In: Journal of the American Statistical Association : JASA 102 (2007) 479, pp. 881-897
Persistent link: https://www.econbiz.de/10003567947
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Implementation of estimating function-based inference procedures with Markov chain Monte Carlo samplers: rejoinder
Tian, Lu; Liu, Jun S.; Wei, L. J. - In: Journal of the American Statistical Association : JASA 102 (2007) 479, pp. 897-900
Persistent link: https://www.econbiz.de/10003567969
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Evaluating prediction rules for t-year survivors with censored regression models
Uno, Hajime; Cai, Tianxi; Tian, Lu; Wei, L. J. - In: Journal of the American Statistical Association : JASA 102 (2007) 478, pp. 527-537
Persistent link: https://www.econbiz.de/10003490373
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Rejoinder
Tian, Lu; Liu, Jun; Wei, L.J. - In: Journal of the American Statistical Association 102 (2007) September, pp. 897-900
Persistent link: https://www.econbiz.de/10005238818
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