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Biostatistics is a critical discipline that applies statistical methods to biological and medical data, enabling researchers to extract meaningful insights and make informed decisions. This field plays a crucial role in experimental design, data analysis, and interpretation of findings in biological and medical research. Biostatisticians develop methodologies to handle complex data sets, model relationships, and draw valid conclusions from experiments.
Biostatistics encompasses a wide range of applications, from clinical trials and epidemiology studies to genomics and public health research. It involves designing experiments, conducting data analysis, and generating reliable conclusions that contribute to advancements in medicine, disease prevention, and evidence-based decision-making. Biostatistics provides the framework for translating data into meaningful knowledge that impacts human health and well-being.
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Research Articles
- Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
- Contamination in Heat Exchangers: Types, Energy Effects and Prevention Methods
- Influence of Polycarboxylate Superplasticizer on the Calorimetric and Physicomechanical Properties of Mortar
- AFM Analysis of Polymeric Membranes Fouling
- Application of Virtual Reality (VR) in Facility Management Competency-based Training (CBT) in the Era of Industrie 5.0
- Study of the Histological Features of the Stroma of High-Grade Gliomas Depending on the Status of the Mutation in the IDH1 Gene
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