Publications
Filters: Author is Wang, Yuanjia [Clear All Filters]
Penalized nonlinear mixed effects model to identify biomarkers that predict disease progression." Biometrics 73, no. 4 (2017): 1343-1354.
"Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration." Biometrics 71, no. 4 (2015): 918-28.
"Augmented outcome-weighted learning for estimating optimal dynamic treatment regimens." Stat Med 37, no. 26 (2018): 3776-3788.
"Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration." Biometrics 71, no. 4 (2015): 918-28.
"Penalized nonlinear mixed effects model to identify biomarkers that predict disease progression." Biometrics 73, no. 4 (2017): 1343-1354.
"Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration." Biometrics 71, no. 4 (2015): 918-28.
"Estimating personalized diagnostic rules depending on individualized characteristics." Stat Med 36, no. 7 (2017): 1099-1117.
"Penalized nonlinear mixed effects model to identify biomarkers that predict disease progression." Biometrics 73, no. 4 (2017): 1343-1354.
"Augmented outcome-weighted learning for estimating optimal dynamic treatment regimens." Stat Med 37, no. 26 (2018): 3776-3788.
"Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration." Biometrics 71, no. 4 (2015): 918-28.
"Estimating personalized diagnostic rules depending on individualized characteristics." Stat Med 36, no. 7 (2017): 1099-1117.
"Augmented outcome-weighted learning for estimating optimal dynamic treatment regimens." Stat Med 37, no. 26 (2018): 3776-3788.
"Estimating personalized diagnostic rules depending on individualized characteristics." Stat Med 36, no. 7 (2017): 1099-1117.
"Estimating personalized diagnostic rules depending on individualized characteristics." Stat Med 36, no. 7 (2017): 1099-1117.
"Penalized nonlinear mixed effects model to identify biomarkers that predict disease progression." Biometrics 73, no. 4 (2017): 1343-1354.
"Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration." Biometrics 71, no. 4 (2015): 918-28.
"Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration." Biometrics 71, no. 4 (2015): 918-28.
"Augmented outcome-weighted learning for estimating optimal dynamic treatment regimens." Stat Med 37, no. 26 (2018): 3776-3788.
"Penalized nonlinear mixed effects model to identify biomarkers that predict disease progression." Biometrics 73, no. 4 (2017): 1343-1354.
"Sequential multiple assignment randomization trials with enrichment design." Biometrics 73, no. 2 (2017): 378-390.
"Estimating personalized diagnostic rules depending on individualized characteristics." Stat Med 36, no. 7 (2017): 1099-1117.
"Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration." Biometrics 71, no. 4 (2015): 918-28.
"Penalized nonlinear mixed effects model to identify biomarkers that predict disease progression." Biometrics 73, no. 4 (2017): 1343-1354.
"Estimating personalized diagnostic rules depending on individualized characteristics." Stat Med 36, no. 7 (2017): 1099-1117.
"Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration." Biometrics 71, no. 4 (2015): 918-28.
"Estimating personalized diagnostic rules depending on individualized characteristics." Stat Med 36, no. 7 (2017): 1099-1117.
"Augmented outcome-weighted learning for estimating optimal dynamic treatment regimens." Stat Med 37, no. 26 (2018): 3776-3788.
"Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration." Biometrics 71, no. 4 (2015): 918-28.
"Estimating personalized diagnostic rules depending on individualized characteristics." Stat Med 36, no. 7 (2017): 1099-1117.
"Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration." Biometrics 71, no. 4 (2015): 918-28.
"Augmented outcome-weighted learning for estimating optimal dynamic treatment regimens." Stat Med 37, no. 26 (2018): 3776-3788.
"Penalized nonlinear mixed effects model to identify biomarkers that predict disease progression." Biometrics 73, no. 4 (2017): 1343-1354.
"Penalized nonlinear mixed effects model to identify biomarkers that predict disease progression." Biometrics 73, no. 4 (2017): 1343-1354.
"Penalized nonlinear mixed effects model to identify biomarkers that predict disease progression." Biometrics 73, no. 4 (2017): 1343-1354.
"Augmented outcome-weighted learning for estimating optimal dynamic treatment regimens." Stat Med 37, no. 26 (2018): 3776-3788.
"Estimating personalized diagnostic rules depending on individualized characteristics." Stat Med 36, no. 7 (2017): 1099-1117.
"Sequential multiple assignment randomization trials with enrichment design." Biometrics 73, no. 2 (2017): 378-390.
"Estimating personalized diagnostic rules depending on individualized characteristics." Stat Med 36, no. 7 (2017): 1099-1117.
"Augmented outcome-weighted learning for estimating optimal dynamic treatment regimens." Stat Med 37, no. 26 (2018): 3776-3788.
"Estimating personalized diagnostic rules depending on individualized characteristics." Stat Med 36, no. 7 (2017): 1099-1117.
"Penalized nonlinear mixed effects model to identify biomarkers that predict disease progression." Biometrics 73, no. 4 (2017): 1343-1354.
"Sequential multiple assignment randomization trials with enrichment design." Biometrics 73, no. 2 (2017): 378-390.
"Sequential multiple assignment randomization trials with enrichment design." Biometrics 73, no. 2 (2017): 378-390.
"Estimating personalized diagnostic rules depending on individualized characteristics." Stat Med 36, no. 7 (2017): 1099-1117.
"Estimating personalized diagnostic rules depending on individualized characteristics." Stat Med 36, no. 7 (2017): 1099-1117.
"Sequential multiple assignment randomization trials with enrichment design." Biometrics 73, no. 2 (2017): 378-390.
"Estimating personalized diagnostic rules depending on individualized characteristics." Stat Med 36, no. 7 (2017): 1099-1117.
"Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration." Biometrics 71, no. 4 (2015): 918-28.
"Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration." Biometrics 71, no. 4 (2015): 918-28.
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