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Study Designs and Statistical Analyses for Biomarker Research
AbstractBiomarkers are becoming increasingly important for streamlining drug discovery and development. In addition, biomarkers are widely expected to be used as a tool for disease diagnosis, personalized medication, and surrogate endpoints in clinical research. In this paper, we highlight several important aspects related to study design and statistical analysis for clinical research incorporating biomarkers. We describe the typical and current study designs for exploring, detecting, and utilizing biomarkers. Furthermore, we introduce statistical issues such as confounding and multiplicity for statistical tests in biomarker research.
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MDPI and ACS Style
Gosho, M.; Nagashima, K.; Sato, Y. Study Designs and Statistical Analyses for Biomarker Research. Sensors 2012, 12, 8966-8986.View more citation formats
Gosho M, Nagashima K, Sato Y. Study Designs and Statistical Analyses for Biomarker Research. Sensors. 2012; 12(7):8966-8986.Chicago/Turabian Style
Gosho, Masahiko; Nagashima, Kengo; Sato, Yasunori. 2012. "Study Designs and Statistical Analyses for Biomarker Research." Sensors 12, no. 7: 8966-8986.