Il docente non ha ancora pubblicato i testi per questo canale.
Bacheca del docente: cosa indica di studiare
Argomenti del programma: Introduction to data: Data basics; Sampling principles; Experiments and observational studies Summarizing data: Examining numerical data; Considering categorical data Probability: Defining probability; Conditional probability; Bayes theorem Random variables: Discrete and continuous; Expectation; Distributions of random variables: Normal; Geometric; Bernoulli; Binomial Foundations for inference: Point estimates;…
Argomenti del programma: survival analysis (censoring, the Kaplan Meier estimator, parametric models, and the Cox proportional hazard model); study designs (cross sectional, case control, cohort, and clinical trial); modelling strategies (applications of logistic regression, ROC curve, multiple testing correction, and association versus causation); concepts of epidemiology and genetic epidemiology; modelling of transcriptomics data (basic…
Il docente non ha ancora pubblicato i testi per questo canale.
Bacheca del docente: cosa indica di studiare
Argomenti del programma: Introduction to data: Data basics; Sampling principles; Experiments and observational studies Summarizing data: Examining numerical data; Considering categorical data Random variables: Discrete and continuous; Expectation; Distributions of random variables: Normal; Geometric; Bernoulli; Binomial Foundations for inference: Point estimates; Confidence intervals; Hypothesis testing Linear Regression
Argomenti del programma: survival analysis (censoring, the Kaplan Meier estimator, parametric models, and the Cox proportional hazard model); study designs (cross sectional, case control, cohort, and clinical trial); modelling strategies (applications of logistic regression, ROC curve, multiple testing correction, and association versus causation); concepts of epidemiology and genetic epidemiology; modelling of transcriptomics data (basic…
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