Biostatistics I

Code:

MSP12_2

Acronym:

MSP12_2

Keywords
Classification	Keyword
OFICIAL	Statistics

Instance: 2013/2014 - 1S

Active?	Yes
Responsible unit:	Clinical Epidemiology, Predictive Medicine and Public Health Department
Course/CS Responsible:	Master Degree Course in Public Health

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MSP	16	Master Degree Public Health - Official Plan12	1	-	4	36	108

Teaching language

English

Objectives

The main objective of this training program is that students acquire both theoretical and practical knowledge in basic biostatistics.

Learning outcomes and competences

Students should be able to convert data into information, gaining skills in quantitative reasoning and writing. Students should understand the basic ideas of statistics; should be able to do exploratory data analysis using graphs and numerical summaries to describe the variables and the relationships among them; students should be able to do statistical inference: understand and apply the necessary statistical methods and interpret the results obtained.

Working method

Presencial

Program

1. Descriptive Statistics: types of biological data; exploring data: variables and distributions, relationships. 2. Probability and sampling distributions. 3. Introduction to inference: estimation and hypothesis testing. 4. Statistical Inference with Quantitative Data: one sample t test, paired sample t test, independent sample t test. 5. Statistical Inference with Categorical Data: inference about a population proportion, comparing two proportions, qui-square test of independence. 6. Linear Regression.

Mandatory literature

Baldi B., D.S. Moore ; The practice of statistics in the life sciences, W.H. Freeman and Company, 2012
Sokal, R.R. e F.J. Rohlf; Biometry - The Principles and Practice of Statistics in Biological Research, W.H. Freeman and Company, 1995
Zar J.H. ; Biostatistical Analysis, 5th edition, Prentice - Hall International Inc., 2010

Teaching methods and learning activities

A total of 108 hours of student’s work, of which 36 are of contact, distributed as follows is estimated: T:18; PL:18.

Software

SPSS

keywords

Physical sciences > Mathematics > Statistics > Biometrics
Physical sciences > Mathematics > Statistics > Medical statistics

Evaluation Type

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)
Estudo autónomo	72,00
Frequência das aulas	36,00
Total:	108,00

Eligibility for exams

 To be present in at least 75% of the classes.

Calculation formula of final grade

Classificationof the final exam.