Course on Basic Statistics for Health Professionals

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Course on Basic Statistics for Health Professionals

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The need to learn to handle statistical software to manage and analyze health data requires prior theoretical knowledge and the practical application in order to optimize the processes of interpretation of results and scientific texts. All this in order to apply and learn about the new data analysis techniques implemented in medical and health practice with a praxis based on scientific evidence.

It is also necessary to know common management tools such as Excel, SPSS and Stata programs to be able to decide on their use in our professional practice, including the interpretation and comparison of results lists with the different tools used.


Basic statistics for professionals

  • Session 1: Introduction: Methods, Designs and statistics. Basic concepts: sampling, measurement and variables.
  • Session 2: Descriptive data analysis: tabulations and graphic representations.
  • Session 3: Exploratory analysis of quantitative data.
  • Session 4: Statistical inference: how to estimate a population mean. Hypothesis testing.
  • Session 5: Probability Distributions. What do we mean when a result is statistically significant?
  • Session 6: Relationship between two qualitative variables: Risk, Chi square.
  • Session 7: Relationship between two quantitative variables: Covariation, correlation and simple linear regression.
  • Session 8: Relationship between a qualitative and quantitative variable: Student's t test and Analysis of variance.
  • Session 9: Estimation of the sample size.
  • Session 10: Description of statistical models for more than two variables.


Juan Martín Aliaga Ugarte Juan Martín Aliaga Ugarte Profesor

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