Publications
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Using Structural Equation Modeling to Assess the Links between Tobacco Smoke Exposure, Volatile Organic Compounds, and Respiratory Function for Adolescents Aged 6 to 18 in the United States." Int J Environ Res Public Health 14, no. 10 (2017).
"Using Structural Equation Modeling to Assess the Links between Tobacco Smoke Exposure, Volatile Organic Compounds, and Respiratory Function for Adolescents Aged 6 to 18 in the United States." Int J Environ Res Public Health 14, no. 10 (2017).
"A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard." Biometrics 71, no. 2 (2015): 538-47.
"Use of historical control data for assessing treatment effects in clinical trials." Pharm Stat 13, no. 1 (2014): 41-54.
"The use of Bayesian hierarchical models for adaptive randomization in biomarker-driven phase II studies." J Biopharm Stat 25, no. 1 (2015): 66-88.
"The use of Bayesian hierarchical models for adaptive randomization in biomarker-driven phase II studies." J Biopharm Stat 25, no. 1 (2015): 66-88.
"A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard." Biometrics 71, no. 2 (2015): 538-47.
"Using decision lists to construct interpretable and parsimonious treatment regimes." Biometrics 71, no. 4 (2015): 895-904.
"Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy." Stat Med 35, no. 8 (2016): 1245-56.
"Using decision lists to construct interpretable and parsimonious treatment regimes." Biometrics 71, no. 4 (2015): 895-904.
"Using Structural Equation Modeling to Assess the Links between Tobacco Smoke Exposure, Volatile Organic Compounds, and Respiratory Function for Adolescents Aged 6 to 18 in the United States." Int J Environ Res Public Health 14, no. 10 (2017).
"Using decision lists to construct interpretable and parsimonious treatment regimes." Biometrics 71, no. 4 (2015): 895-904.
"Use of historical control data for assessing treatment effects in clinical trials." Pharm Stat 13, no. 1 (2014): 41-54.
"Using decision lists to construct interpretable and parsimonious treatment regimes." Biometrics 71, no. 4 (2015): 895-904.
"The use of Bayesian hierarchical models for adaptive randomization in biomarker-driven phase II studies." J Biopharm Stat 25, no. 1 (2015): 66-88.
"Using decision lists to construct interpretable and parsimonious treatment regimes." Biometrics 71, no. 4 (2015): 895-904.
"Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy." Stat Med 35, no. 8 (2016): 1245-56.
"The use of Bayesian hierarchical models for adaptive randomization in biomarker-driven phase II studies." J Biopharm Stat 25, no. 1 (2015): 66-88.
"Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy." Stat Med 35, no. 8 (2016): 1245-56.
"A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard." Biometrics 71, no. 2 (2015): 538-47.
"A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard." Biometrics 71, no. 2 (2015): 538-47.
"Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy." Stat Med 35, no. 8 (2016): 1245-56.
"Using decision lists to construct interpretable and parsimonious treatment regimes." Biometrics 71, no. 4 (2015): 895-904.
"Using decision lists to construct interpretable and parsimonious treatment regimes." Biometrics 71, no. 4 (2015): 895-904.
"A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard." Biometrics 71, no. 2 (2015): 538-47.
"Using Structural Equation Modeling to Assess the Links between Tobacco Smoke Exposure, Volatile Organic Compounds, and Respiratory Function for Adolescents Aged 6 to 18 in the United States." Int J Environ Res Public Health 14, no. 10 (2017).
"Using Structural Equation Modeling to Assess the Links between Tobacco Smoke Exposure, Volatile Organic Compounds, and Respiratory Function for Adolescents Aged 6 to 18 in the United States." Int J Environ Res Public Health 14, no. 10 (2017).
"A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard." Biometrics 71, no. 2 (2015): 538-47.
"Using decision lists to construct interpretable and parsimonious treatment regimes." Biometrics 71, no. 4 (2015): 895-904.
"Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy." Stat Med 35, no. 8 (2016): 1245-56.
"A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard." Biometrics 71, no. 2 (2015): 538-47.
"Using decision lists to construct interpretable and parsimonious treatment regimes." Biometrics 71, no. 4 (2015): 895-904.
"Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy." Stat Med 35, no. 8 (2016): 1245-56.
"Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy." Stat Med 35, no. 8 (2016): 1245-56.
"Use of historical control data for assessing treatment effects in clinical trials." Pharm Stat 13, no. 1 (2014): 41-54.
"A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard." Biometrics 71, no. 2 (2015): 538-47.
"Using decision lists to construct interpretable and parsimonious treatment regimes." Biometrics 71, no. 4 (2015): 895-904.
"Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy." Stat Med 35, no. 8 (2016): 1245-56.
"The use of Bayesian hierarchical models for adaptive randomization in biomarker-driven phase II studies." J Biopharm Stat 25, no. 1 (2015): 66-88.
"Using Structural Equation Modeling to Assess the Links between Tobacco Smoke Exposure, Volatile Organic Compounds, and Respiratory Function for Adolescents Aged 6 to 18 in the United States." Int J Environ Res Public Health 14, no. 10 (2017).
"A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard." Biometrics 71, no. 2 (2015): 538-47.
"Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy." Stat Med 35, no. 8 (2016): 1245-56.
"A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard." Biometrics 71, no. 2 (2015): 538-47.
"Use of historical control data for assessing treatment effects in clinical trials." Pharm Stat 13, no. 1 (2014): 41-54.
"A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard." Biometrics 71, no. 2 (2015): 538-47.
"Using decision lists to construct interpretable and parsimonious treatment regimes." Biometrics 71, no. 4 (2015): 895-904.
"Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy." Stat Med 35, no. 8 (2016): 1245-56.
"The use of Bayesian hierarchical models for adaptive randomization in biomarker-driven phase II studies." J Biopharm Stat 25, no. 1 (2015): 66-88.
"Using Structural Equation Modeling to Assess the Links between Tobacco Smoke Exposure, Volatile Organic Compounds, and Respiratory Function for Adolescents Aged 6 to 18 in the United States." Int J Environ Res Public Health 14, no. 10 (2017).
"A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard." Biometrics 71, no. 2 (2015): 538-47.
"The use of Bayesian hierarchical models for adaptive randomization in biomarker-driven phase II studies." J Biopharm Stat 25, no. 1 (2015): 66-88.
"A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard." Biometrics 71, no. 2 (2015): 538-47.
"Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy." Stat Med 35, no. 8 (2016): 1245-56.
"Using decision lists to construct interpretable and parsimonious treatment regimes." Biometrics 71, no. 4 (2015): 895-904.
"Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy." Stat Med 35, no. 8 (2016): 1245-56.
"The use of Bayesian hierarchical models for adaptive randomization in biomarker-driven phase II studies." J Biopharm Stat 25, no. 1 (2015): 66-88.
"Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy." Stat Med 35, no. 8 (2016): 1245-56.
"The use of Bayesian hierarchical models for adaptive randomization in biomarker-driven phase II studies." J Biopharm Stat 25, no. 1 (2015): 66-88.
"Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy." Stat Med 35, no. 8 (2016): 1245-56.
"The use of Bayesian hierarchical models for adaptive randomization in biomarker-driven phase II studies." J Biopharm Stat 25, no. 1 (2015): 66-88.
"A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard." Biometrics 71, no. 2 (2015): 538-47.
"Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy." Stat Med 35, no. 8 (2016): 1245-56.
"Use of historical control data for assessing treatment effects in clinical trials." Pharm Stat 13, no. 1 (2014): 41-54.
"Using Structural Equation Modeling to Assess the Links between Tobacco Smoke Exposure, Volatile Organic Compounds, and Respiratory Function for Adolescents Aged 6 to 18 in the United States." Int J Environ Res Public Health 14, no. 10 (2017).
"A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard." Biometrics 71, no. 2 (2015): 538-47.
"A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard." Biometrics 71, no. 2 (2015): 538-47.
"Use of historical control data for assessing treatment effects in clinical trials." Pharm Stat 13, no. 1 (2014): 41-54.
"Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy." Stat Med 35, no. 8 (2016): 1245-56.
"The use of Bayesian hierarchical models for adaptive randomization in biomarker-driven phase II studies." J Biopharm Stat 25, no. 1 (2015): 66-88.
"Using Structural Equation Modeling to Assess the Links between Tobacco Smoke Exposure, Volatile Organic Compounds, and Respiratory Function for Adolescents Aged 6 to 18 in the United States." Int J Environ Res Public Health 14, no. 10 (2017).
"A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard." Biometrics 71, no. 2 (2015): 538-47.
"The use of Bayesian hierarchical models for adaptive randomization in biomarker-driven phase II studies." J Biopharm Stat 25, no. 1 (2015): 66-88.
"Using Structural Equation Modeling to Assess the Links between Tobacco Smoke Exposure, Volatile Organic Compounds, and Respiratory Function for Adolescents Aged 6 to 18 in the United States." Int J Environ Res Public Health 14, no. 10 (2017).
"A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard." Biometrics 71, no. 2 (2015): 538-47.
"Using Structural Equation Modeling to Assess the Links between Tobacco Smoke Exposure, Volatile Organic Compounds, and Respiratory Function for Adolescents Aged 6 to 18 in the United States." Int J Environ Res Public Health 14, no. 10 (2017).
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