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ORIGINAL ARTICLE 2018 May 31
Statistical Considerations in Assessing Bioequivalence with Baselines: A Case Study of Endogenous Drugs
Objectives: To assess bioequivalence between two endogenous drugs in 2 × 2 crossover trial with baseline measurements. Methods: Two statistical methods are applied to assess bioequivalence between two endogenous drugs in 2 × 2 crossover trials. The first method is based on the ...
ORIGINAL ARTICLE 2018 May 31
Breast Cancer Classification using Deep Learning-based Ensemble
Objectives: We propose a deep learning-based ensemble for improving breast cancer classification and compare it with existing six models including deep neural network on two UCI data. Methods: We propose a deep learning-based stacking ensemble method. We first applied five class...
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Original Articles
119 Cancer Incidence of Korean Veterans
Un Je Park, So Hee Park
J Health Info Stat.2018;43(2):119-125.   Published online May 31, 2018
DOI: https://doi.org/10.21032/jhis.2018.43.2.119
                              
126 Influence of Health Literacy and Self-care Agency on Health Promotion Behavior in Nursing Students
Soon Young Lee, Soon Rim Suh
J Health Info Stat.2018;43(2):126-133.   Published online May 31, 2018
DOI: https://doi.org/10.21032/jhis.2018.43.2.126
                              
134 Statistical Considerations in Assessing Bioequivalence with Baselines: A Case Study of Endogenous Drugs
Sang-Gue Park, Sangyoung Kim
J Health Info Stat.2018;43(2):134-139.   Published online May 31, 2018
DOI: https://doi.org/10.21032/jhis.2018.43.2.134
                              
140 Breast Cancer Classification using Deep Learning-based Ensemble
Do-Yeon Choi, Kwang-Mo Jeong, Dong Hoon Lim
J Health Info Stat.2018;43(2):140-147.   Published online May 31, 2018
DOI: https://doi.org/10.21032/jhis.2018.43.2.140
                              
148 Factors Influencing Depression in Middle Aged Women: Focused on Quality of life on Menopause
Jung Nam Sohn
J Health Info Stat.2018;43(2):148-157.   Published online May 31, 2018
DOI: https://doi.org/10.21032/jhis.2018.43.2.148
                              
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