Biostatistics

Code:

MIMD010104

Acronym:

BIOE

Keywords
Classification	Keyword
OFICIAL	Physical Sciences

Instance: 2023/2024 - 1S

Active?	Yes
Responsible unit:	Mestrado Integrado
Course/CS Responsible:	Integrated Master in Dental Medicine

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIMD	107	Official Plan from the academic year 2020/2021	1	-	5	72	135
		NÃO INSCREVER - Plano exclusivo para uso administrativo	1	-	5	72	135

Teaching language

Portuguese

Objectives

The aim is to enable students to carry out statistical analysis, interpretation and publishing results. For this, students are expected to distinguish the measurement scales and interpret the different types of measurement errors, to estimate statistical parameters, to perform hypothesis tests by parametric and non-parametric methods for one and two populations.

Learning outcomes and competences

As learning outcomes students are expected to gain analytical and critical capacity from the statistical results of analyzes carried out or resulting from published articles.

Working method

Presencial

Program

 

Basic concepts in statistic:

Statistic estimators

Randomized variables

  Discrets: Probabilistic function, probabilistic distribution functions

  Continuos: Probabilistic density functions, Probabilistic distribution functions

Parameters of probabilistic distributions.

Caracterization of probabilistic theoretical  distributions

 Discrets:

Binomial distribution

Poisson distribution

 Continuos:

Uniforme distribution

Normal distribution

t- Student distribution

Z-distribution

Z transformation

 Confidence interval (CI) estimating parameters:

 CI for mean

 CI for binomial proportion

Principles and proprerties of hypothesis tests

 Z-test and t-student test  for one sample:

 One sample t-test

 One sample t-test for proportions

F-Snedecor test

Binomial test

Independent and paired samples t-test

Mandatory literature

Wayne W. Daniel; Biostatistics. ISBN: 978-0471-45654-4
A. Gouveia de Oliveira; Bioestatística descodificada. ISBN: 978-989-752-044-0
João Marôco; Análise estatística com o SPSS Statistics, ReporNumber, 2018. ISBN: 978-989-96763-5-0

Teaching methods and learning activities

It will be taught theoretical-practical, practical of calculation and practical laboratory lectures (supported by statistic software). Using of moodle platform for pedagogical support, namely, self-assessment.

Software

SPSS

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Participação presencial	10,00
Exame	45,00
Teste	45,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	120,00
Frequência das aulas	60,00
Total:	180,00

Eligibility for exams

The TP and P classes are subject to the faults. To obtain frequency students will have less than 1 / 4 faults in relation to the number of classes taught in the school year or result in the previous academic year.

Calculation formula of final grade

Normal Season: The evaluation system consists of the procedural method of assessment, summative and discontinuous, spread over three times: 1^st Moment of assessment - theoretical test (T1) of Biostatistic principles (quote 0,45); 2^nd Moment - Practical exam (P2) of statistical analysis in SPSS and calculation (quote 0,45); 3rd Moment - Attendance (quotation stratified in relation to attendance. In addition to the mandatory minimum and a maximum of two values (quote 0,10). The approval is made to depend on a minimum grade of 10 marks at any moment of evaluation described. Formula assessment procedure, discontinuous and summative: final assessment = 0,45*T1 + 0,45*P2 + attendance. Students often failed in the previous year, but did not have the attendance component. The approval will be according to the formula of final evaluation = P1*0.5 + 0.5 * T2, depending on a minimum score of 10 in two evaluation described P1 and T1. Appeal chance: will be submitted to the examination appeals students without prior approval and which have no more than 25% of faults in relation to the lessons given (taking frequency arising out of or in previous years). This method of evaluation consists of an examination - a practical exam (P) and theoretical exam (T) not subject to minimum grade. Students who pass the exam (T) in regular season are exempt from taking the same exam (T) of appeal season. Formula assessment for final exam: assessment Final Exam = 0,5*P + 0,5*T.

Special assessment (TE, DA, ...)

Special season exam = 0,5*P + 0,5*T