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Università degli Studi di Parma Università degli Studi di Parma
University of Parma
Course catalogue
Università degli Studi di Parma
course catalogue

STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH FIRST YEAR
cod. 19913

Academic year 2009/10
1° year of course - Second semester
Professor
Academic discipline
Statistica per la ricerca sperimentale e tecnologica (SECS-S/02)
Field
Statistica ed epidemiologia
Type of training activity
Basic
24 hours
of face-to-face activities
2 credits
hub: -
course unit
in - - -
lectures timetable unavailable
exam calls

Integrated course unit module: METHODS OF NURSING AND OBSTETRIC RESEARCH 1

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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

 Syllabus: : <br />
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Introduction: medical statistics and related disciplines. Logic and statistical planning. <br />
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Overview of combinatorial analysis: permutations, arrangements, combinations. Applications. <br />
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Overview of probability analysis : probability of simple and compound events, Bayes theorem. <br />
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Odds.Odds ratios. Likelihood ratios. Applications. <br />
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Probability distributions : binomial distribution, Poisson distribution, normal and standard normal distribution. Tables and their use. <br />
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How to summarise the data. Units of measure. Measurements of position, order and variation. Indices of central tendency, mean median, mode. Indices of variabilità, variance, standard deviation, CV. Percentile and their use. <br />
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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. <br />
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Linear regression and correlation. <br />
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Overview of multivariate statistics: Main components. Discriminant analysis. Cluster analysis

Full programme

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Bibliography

<p> </p>
<p>1) Lecture notes <br />
2) Stanton A. Glantz : Statistica per discipline Bio-mediche, ed. McGraw-Hill <br />
3) Sidney Siegel, N. John Castellan Jr. : Statistica non parametrica, ed. McGraw-Hill <br />
4) Internet resources and links</p>

Teaching methods

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Assessment methods and criteria

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Other information

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