Health Statistic Methods I

Code:

PD_SP005

Acronym:

MES1

Keywords
Classification	Keyword
OFICIAL	Statistics

Instance: 2018/2019 - 1S (of 17-09-2018 to 08-02-2019)

Active?	Yes
Responsible unit:	Public Health and Forensic Sciences, and Medical Education Department
Course/CS Responsible:	Doctoral Programme in Public Health

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
PDN	1	Programa Doutoral em Neurociências 2013	1	-	4	18	108
PDSP	10	Current Studies Plan	1	-	4	18	108

Last updated on 2018-09-21.

Fields changed: Components of Evaluation and Contact Hours, Tipo de avaliação

Teaching language

Suitable for English-speaking students

Objectives

Acquisition of knowledge on the primary and most used statistical concepts, models and techniques. Choice and application of the most adequate statistical methodology according to the nature of the study. Ability to critically analyse and interpret the results obtained from the learnt statistical methods (in their own works and in those from others). In summary, the student is expected to be scientifically autonomous regarding basic statistical analysis.

Learning outcomes and competences

The student will: acquire skills to select the most adequate statistical analysis for each study; perform the statistical analysis on SPSS ans R and understand the mathematical/statistical/probabilistic model behind; critically interpret the obtained results.

Working method

Presencial

Program

Probabilities, conditional probabilities and the usual probabilistic models (Uniform, Binomial, Poisson, Multinomial, Normal, t, F, Qui-Squared). Descriptive statistics: numerical statistical measures and graphical representations. (Weak) Law of the large numbers and the central limit theorem. Sample statistics and confidence intervals, for one and two samples. Tests of hypotheses (parametric and non-parametric) for one and two samples and for continuous and categorical data. Linear correlation and Spearman correlation.

Mandatory literature

Betty R. Kirkwood, Jonathan A. C. Sterne; Essential Medical Statistics, 2nd Edition, Wiley, 2003. ISBN: 978-0-865-42871-3

Complementary Bibliography

Rizzo, Maria L.; Statistical computing with R, Chapman & Hall/CRC, 2008. ISBN: 978-1584885450
M.Bland and D. Altman; An Introduction to Medical Statistics, Oxford University Press, 2000. ISBN: 0 19 262428 8
G. van Belle, P.J. Heagerty, L.D. Fisher, T.S. Lumley; Biostatistics: A Methodology for the Health Sciences, John Wiley & Sons Inc, 2004
B. Rosner; Fundamentals of Biostatistics, Brooks Cole, 2005

Teaching methods and learning activities

A total of 18 contact hours is estimated, distributed as theoretical sessions (9h) and laboratory practice sessions (9h).

Software

R
SPSS

keywords

Physical sciences > Mathematics > Statistics > Medical statistics

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	100,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Frequência das aulas	108,00
Total:	108,00

Eligibility for exams

To be present in at least 75% of the classes

Calculation formula of final grade

Final mark (out of 20) = exam classification.

Classification improvement

Students can improve their grades in the final exam (according to the rules defined by the Regulamento Pedagógico da FMUP).

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