Biomedical laboratory techniques | University of Parma

Professor: Giuseppe PEDRAZZI
Academic discipline: Statistica per la ricerca sperimentale e tecnologica (SECS-S/02)
Field: Scienze interdisciplinari
Type of training activity: Characterising

16 hours
of face-to-face activities

2 credits

hub: -

course unit
in - - -

lectures timetable unavailable

exam calls

Integrated course unit module: PHYSICS

Learning objectives

Introduce the student to the logic of statistical thinking and its application to practical problems.

Prerequisites

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Course unit content

Review of general principles of statistical inference. Sampling distribution. Hypotheses and hypothesis tests. I and II type errors. Power of a test and operating curve. Parametric test : Student t-test, an overview of analysis of variance. Non-parametric test: Wilcoxon test, Mann-Whitney test, Kruskal-Wallis test, Friedman test, median test, Chi-square test, Fisher’s exact test.

Linear regression and correlation.

Overview of multivariate statistics: Main components. Discriminant analysis.Cluster analysis

Practical sessions with the statistical software R and SPSS on medical data.

Full programme

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Bibliography

1) Lecture notes
3) Sidney Siegel, N. John Castellan Jr. : Statistica non parametrica, ed. McGraw-Hill
4) 4) Internet resources and links

Teaching methods

classroom lectures

Assessment methods and criteria

written exam

Other information

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2030 agenda goals for sustainable development

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STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH cod. 15420

Learning objectives

Prerequisites

Course unit content

Full programme

Bibliography

Teaching methods

Assessment methods and criteria

Other information

2030 agenda goals for sustainable development

STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH
cod. 15420