Professional Certificate in Biostatistics for Large Molecules
-- ViewingNowThe Professional Certificate in Biostatistics for Large Molecules is a comprehensive course designed to equip learners with the essential skills needed to excel in the field of biostatistics. This certificate course is crucial for those interested in working with large molecules, such as biologics and biosimilars, in the pharmaceutical and biotechnology industries.
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โข Introduction to Biostatistics: Basic concepts, terminology, and principles of biostatistics. Descriptive statistics, probability, and distributions.
โข Study Design and Data Collection: Experimental and observational study designs. Sampling methods, bias, confounding, and ethical considerations.
โข Data Analysis Techniques for Large Molecules: Exploratory data analysis, data visualization, and statistical inference.
โข Hypothesis Testing and Inference: Hypothesis testing framework, p-values, confidence intervals, and statistical power.
โข Regression Analysis and Modeling: Linear and logistic regression, model selection, and interpretation.
โข Survival Analysis: Time-to-event data, survival functions, hazard functions, and Kaplan-Meier curves.
โข Multivariate Analysis and Clustering: Principal component analysis (PCA), factor analysis, cluster analysis, and discriminant analysis.
โข Biostatistics in Clinical Trials: Design, analysis, and interpretation of clinical trials for large molecules.
โข Statistical Learning and Machine Learning: Overview of statistical learning, machine learning, and predictive modeling.
โข Reproducible Research and Data Science Tools: Best practices for data management, coding, and documentation.
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