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Breast cancer relative hazard estimates from case-control and cohort designs with missing data on mammographic density
Chen, Jinbo; Ayyagari, Rajeev; Chatterjee, Nilanjan; … - In: Journal of the American Statistical Association : JASA 103 (2008) 483, pp. 976-988
Persistent link: https://www.econbiz.de/10003772446
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Inverse decision theory : characterizing losses for a decision rule with applications in cervical cancer screening
Swartz, Richard J.; Cox, Dennis D.; Cantor, Scott B.; … - In: Journal of the American Statistical Association : JASA 101 (2006), pp. 1-8
Persistent link: https://www.econbiz.de/10003308986
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Bayesian analysis of cancer rates from SEER program using parametric and semiparametric joinpoint regression models
Ghosh, Pulak; Basu, Sanjib; Tiwari, Ram C. - In: Journal of the American Statistical Association : JASA 104 (2009) 486, pp. 439-452
Persistent link: https://www.econbiz.de/10003885312
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Combining information from two surveys to estimate county-level prevalence rates of cancer risk factors and screening
Raghunathan, Trivellore; Xie, Dawei; Schenker, Nathaniel; … - In: Journal of the American Statistical Association : JASA 102 (2007) 478, pp. 474-486
Persistent link: https://www.econbiz.de/10003490292
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Individual prediction in prostate cancer studies using a joint longitudinal survival-cure model
Yu, Menggang; Taylor, Jeremy M. G.; Sandler, Howard M. - In: Journal of the American Statistical Association : JASA 103 (2008) 481, pp. 178-187
Persistent link: https://www.econbiz.de/10003676672
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A multiresolution hazard model for multicenter survival studies : application to tamoxifen treatment in early stage breast cancer
Bouman, Peter; Meng, Xiao-Li; Dignam, James; Dukić, Vanja - In: Journal of the American Statistical Association : JASA 102 (2007) 480, pp. 1145-1157
Persistent link: https://www.econbiz.de/10003625321
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Inference of tamoxifen's effects on prevention of breast cancer from a randomized controlled trieal
Shen, Yu; Qin, Jing; Costantino, Joseph P. - In: Journal of the American Statistical Association : JASA 102 (2007) 480, pp. 1235-1244
Persistent link: https://www.econbiz.de/10003625335
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Prediction of US cancer mortality counts using semiparametric Bayesian techniques
Ghosh, Kaushik; Tiwari, Ram C. - In: Journal of the American Statistical Association : JASA 102 (2007) 477, pp. 7-15
Persistent link: https://www.econbiz.de/10003430634
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Minimum distance matched sampling with fine balance in an observational study of treatment for ovarian cancer
Rosenbaum, Paul R.; Ross, Richard N.; Silber, Jeffrey H. - In: Journal of the American Statistical Association : JASA 102 (2007) 477, pp. 75-83
Persistent link: https://www.econbiz.de/10003430700
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Hierarchical Bayesian neural networks : an application to a prostate cancer study
Ghosh, Malay; Maiti, Tapabrata; Kim, Dalho; … - In: Journal of the American Statistical Association : JASA 99 (2004) 467, pp. 601-608
Persistent link: https://www.econbiz.de/10002241603