Andrew Lawson to Prostatic Neoplasms
This is a "connection" page, showing publications Andrew Lawson has written about Prostatic Neoplasms.
Connection Strength
0.347
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Spatially-explicit survival modeling with discrete grouping of cancer predictors. Spat Spatiotemporal Epidemiol. 2019 06; 29:139-148.
Score: 0.098
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A Bayesian normal mixture accelerated failure time spatial model and its application to prostate cancer. Stat Methods Med Res. 2016 04; 25(2):793-806.
Score: 0.066
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Prior choice in discrete latent modeling of spatially referenced cancer survival. Stat Methods Med Res. 2014 Apr; 23(2):183-200.
Score: 0.064
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Joint spatial survival modeling for the age at diagnosis and the vital outcome of prostate cancer. Stat Med. 2008 Aug 15; 27(18):3612-28.
Score: 0.050
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A Bayesian hierarchical modeling approach for studying the factors affecting the stage at diagnosis of prostate cancer. Stat Med. 2008 Apr 30; 27(9):1468-89.
Score: 0.049
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Bayesian accelerated failure time model for space-time dependency in a geographically augmented survival model. Stat Methods Med Res. 2017 Oct; 26(5):2244-2256.
Score: 0.020