Special Issue "The Application of Biostatistics in Precision Medicine"
A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Biochemistry, Biophysics and Computational Biology".
Deadline for manuscript submissions: closed (30 August 2023) | Viewed by 194
Interests: predictive models; scoring system; subgroup analysis; interaction; causal inference; effect heterogeneity; modification of effect measures; treatment effect prediction; validation.
A top priority for biostatistical research in precision medicine is the use of data from sources such as clinical trials, clinical research, and medical big data to provide information. Particularly when it comes to medical big data, the more data points are present, the more likely it is that patterns and associations that can provide insight into various diseases will be found. These results can be used as part of a decision support system within healthcare organizations and in the community and to generate new clinical hypotheses for future research. Therefore, it is important that statistical methodologies for precision medicine be rigorous, transparent, reproducible, and generalizable. Predictive models and scoring systems using accurate biostatistical methods, subgroup analyses of clinical trials to predict treatment, and insights into disease from big data and other sources should be reported. In addition, the validation and utilization studies of the above research results are also needed.
Dr. Eiji Nakatani
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- predictive models
- scoring system
- subgroup analysis
- causal inference
- effect heterogeneity
- modification of effect measures
- treatment effect prediction