Identifying Data 2023/24
Subject (*) Análise de Supervivencia e Probas Diagnósticas Code 653862333d
Study programme
Máster Universitario en Asistencia e Investigación Sanitaria (a distancia)
Descriptors Cycle Period Year Type Credits
Official Master's Degree 2nd four-month period
 First Optional 3
Language
Spanish
Galician
Teaching method Face-to-face
Prerequisites
Department Ciencias da Saúde
Fisioterapia, Medicina e Ciencias Biomédicas
Matemáticas
Coordinador
Jacome Pumar, Maria Amalia
 E-mail
maria.amalia.jacome@udc.es
Lecturers
Jacome Pumar, Maria Amalia
Pértega Díaz, Sonia
 E-mail
maria.amalia.jacome@udc.es
s.pertega@udc.es
Web
General description Esta materia consta de dous bloques diferenciados: Análise de Supervivencia (2 ETCs) e Probas diagnósticas (1 ECT). A finalidade común é establecer os elementos metodolóxicos que necesita o/a estudante para deseñar, levar a cabo e comprender os estudos clínico-epidemiolóxicos no campo das Ciencias da Saúde que impliquen análises de supervivencia ou a avaliación de probas diagnósticas.

Study programme competencies
Code Study programme competences

Learning aims
Learning outcomes Study programme competences
Skills to use the correct statistical procedures in a clinical research study. AR6
AR6
AR6
 BC1
BC1
BC1
BC1
BC1
BC1
BC1
 CC1
CC1
CC1
Skills to know and apply specific analysis tools to analyze the validity and reliability of the results of diagnostic tests in clinical practice. AR6
AR6
AR6
 BC1
BC1
BC1
BC1
BC1
BC1
BC1
 CC1
CC1
CC1

Contents
Topic Sub-topic
BLOCK 1. Survival Analysis 1.1. Introduction: types of censoring, main functions of interest.
1.2. Estimation of the survival curve: Kaplan-Meier estimator, important parametric models.
1.3. Comparison of survival curves
1.4. The proportional hazards model: Cox regression model.
1.5. The competing risk model.
BLOCK 2. Diagnostic test
 2.1. Validity and reliability of a diagnostic test: sensitivity, specificity, predictive values, likelihood ratios.
2.2. Clinical implementation of Bayes's Theorem.
2.3. ROC curves and the area under the ROC curve.
PRACTICAL CONTENT 1. Choice of the appropriate technique for data analysis, application of methods with statistical software, and interpretation of results.
2. Application of epidemiological software for the analysis of the validity and reliability of diagnostic tests.
3. Interpretation of results in the evaluation of diagnostic tests

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Online forum A1 A4 A5 B1 B2 B3 B4 B5 B6 B7 C1 C3 C8 0 1 1
ICT practicals A1 A5 B1 B3 B4 B5 B6 C3 0 15 15
Problem solving A1 A5 B1 B2 B3 B4 B5 B6 C3 C8 0 12 12
Supervised projects A1 A5 B1 B2 B3 B4 B5 B6 B7 C1 C3 C8 0 15 15
Guest lecture / keynote speech A1 A4 A5 B1 B2 B3 B4 B5 B6 B7 C1 C3 C8 0 24 24
Multiple-choice questions A1 A4 A5 B1 B2 B3 B4 B5 B6 B7 C1 C3 C8 0 1 1
Case study A1 A5 B1 B2 B3 B4 B5 B6 B7 C1 C3 C8 0 7 7
 
Personalized attention 0 0
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies Description
Online forum Espazo de discusión informal destinado aos estudantes para o tratamento dun tema ou problema, que se desenvolverá a través dun contorno virtual de aprendizaxe mediante ferramentas de comunicación asíncrona (foro).
ICT practicals Actividades prácticas que consistirán na aplicación dos contidos teóricos da materia mediante a utilización das tecnoloxías da información e as comunicacións. Empregarase software específico para a realización de estudos bioestatísticos ou epidemiolóxicos.
Problem solving Plantexarase a resolución de situacións prácticas concretas, a partir dos coñecementos traballados na materia
Supervised projects Traballos onde se reflicta o dominio teórico-metodolóxico da materia. Os traballos solicitaranse en formato virtual e soporte informático.
Guest lecture / keynote speech Estudio dirixido a través de material multimedia, baseado na exposición dos coñecementos teóricos da materia apoiandose no uso de medios audiovisuais
Multiple-choice questions Cuestionarios de preguntas tipo test e/ou preguntas curtas co propósito de controlar a evolución na materia
Case study Exposición dunha situación específica que suscita un problema que ten que ser comprendido, valorado e resolto por os/as alumnos/as. Plantexaranse problemas concretos en relación cos contidos da materia que describan unha situación real e describirase o proceso de resolución.

Personalized attention
Methodologies
Supervised projects
Problem solving
ICT practicals
Online forum
Case study
Description
The personalized attention related to these methodologies aims to guide students in the study of the subject and in the realization of the proposed practical works.

The follow-up will be done individually or in small groups, telematically, through email, the Virtual Campus or Teams.

Assessment
Methodologies Competencies Description Qualification
Supervised projects A1 A5 B1 B2 B3 B4 B5 B6 B7 C1 C3 C8 Application of several statistical techniques to practical cases. 40
Problem solving A1 A5 B1 B2 B3 B4 B5 B6 C3 C8 Concrete practical situations, that will have to be solved using the contents introduced in the subject 17.5
Multiple-choice questions A1 A4 A5 B1 B2 B3 B4 B5 B6 B7 C1 C3 C8 Multiple choice and short answer questions to assess the progress for each unit of the subject. 42.5
 
Assessment comments
<div><p><b>Assessment system&nbsp;</b></p><p>The subject is divided into two blocks: Block 1 (corresponding to Unit 1. Survival analysis) and Block 2 (corresponding to Unit&nbsp; 2. Diagnostic tests). Both blocks are independent, that is, one block's qualification is not affected by the other block's qualification.&nbsp;</p><p>To pass the subject, it is necessary to pass both blocks separately. In that case, the final score will be the weighted sum of each block's qualification. In case of failing at least one block, the final score will be the minimum between the weighted sum of each block's qualification and the score 4.5</p><p>The final mark will be "ABSENT" (NP) only in the case the student carried out none of the assessment activities.</p><p>Concerning students of previous academic courses, the different former marks will not be kept in the current academic course.</p><p><b>Block I (Unit 1. Survival Analysis)</b></p><p>The highest score is 6.5 (out of 10), which comes from:</p><ul>
  • Continuous evaluation (2.5 out of 10), consisting of solving problems and multiple-choice questions to be answered online individually.&nbsp;
  • A supervised project (4 out of 10), which includes the application of several statistical techniques to practical cases. It can be individual or in groups of 2-3 people.
    • </ul><p><br /><b>Block II (Unit 2. Diagnostic test)</b></p><p>The highest score is 3.5 (out of 10), which comes from:</p><ul>
  • Continuous evaluation (1.75 out of 10), consisting of solving problems and/or multiple-choice questions related to the contents, to be answered online individually.&nbsp;
  • Multiple-choice questions&nbsp;(1.75 out of 10), related to the contents, to be answered online individually.&nbsp;
    • </ul><div>This assessment system will be applied in both the first and second call.</div><p><b>December call&nbsp;</b></p><p>The regulation in the "&nbsp;<i>Assessment, review and complaint regulation of degrees and master studies of the UDC</i>&nbsp;", article 19, shall apply.&nbsp;</p><p><b>High honors qualification (MH)&nbsp;</b></p><p>Students whose final qualification exceeds 9 may be eligible for honors. The teachers of the subject may consider additional criteria in the results obtained by the students in any of the training actions programmed in the teaching guide.&nbsp;</p><p><b>Fraud&nbsp;</b></p><p>Fraud in tests or evaluation activities&nbsp;will directly involve the implementation of the current rules in the&nbsp;<i>Assessment, review and complaint regulation of the UDC</i>&nbsp;and the&nbsp;<i>&nbsp;</i><i>Student Statute of the UDC</i></p><p>All these remarks are applied to the
    <b>part-time students and/or with academic exemption</b>.</p></div>

    Sources of information
    Basic Hosmer, D.W. y Lemeshow, S. (1999). Applied Survival Analysis: Regression Modeling of Time to Event Data.. N.Y.: John Wiley &amp; Sons, Inc.
    Cobo, E. et al (2007). Bioestadística para no estadísticos: bases para interpretar artículos científicos. Elsevier. https://kmelot.biblioteca.udc.es/record=b1711440~S1*gag
    López de Ullibarri Galparsoro I, Píta Fernández, S. (1998). Curvas ROC. CAD ATEN PRIMARIA 1998; 5 (4): 229-235.
    Nordness R.J. (2006). Epidemiologia y Bioestadistica. Elsevier https://kmelot.biblioteca.udc.es/record=b1711493~S1*gag
    Collet D (2015). Modelling survival data in medical research. London: Chapman &amp; Hall;
    Pita Fernández, S., Pértega Díaz, S. (2003). Pruebas diagnósticas: Sensibilidad y especificidad.. Cad Aten Primaria 2003; 10: 120-124.
    Lee ET, Wang JW (2003). Satistical Methods for suvirval data analysis.. 3rd. ed. Belmont, CA: Lifetime learning Publications
    Clark, T., Bradburn, M., Love, S. et al. (2003). Survival Analysis Part I: Basic concepts and first analyses.. Br J Cancer 89, 232–238 (2003). https://doi.org/10.1038/sj.bjc.6601118 (https://www.nature.com/artic
    Pepe, M. S. (2003). The statistical evaluation of medical tests for classification and prediction. Oxford: Oxford University Press.

    Complementary Pita Fernández, S (2001). Análisis de supervivencia. CAD ATEN PRIMARIA 1995; 2: 130-135. https://www.fisterra.com/mbe/investiga/supervivencia/supervivenc
    SEH-LELHA (2021). Artículos de Bioestadística . https://www.seh-lelha.org/bioestadistica/
    Unidade de Bioestadística Clínica del Hospital Universitario Ramón y Cajal (2021). Material docente. http://www.hrc.es/bioest/M_docente.html


    Recommendations
    Subjects that it is recommended to have taken before
    Statistics Applied to Health Sciences/653862206
    Statistical Models for Clinical Research/6538623028
    Statistics Applied to Health Sciences/6538623005

    Subjects that are recommended to be taken simultaneously

    Subjects that continue the syllabus

    Other comments
    English language&nbsp;

    It is advisable a basic knowledge of English for reviewing the available sources of information, although it is not mandatory. The recommended level of English is A2, as stated in the Common European Framework of Reference on Language Skills (&lt;a href="http://cvc.cervantes.es/ensenanza/biblioteca_ele/marco/cvc_mer.pdf"&gt;&lt;strong&gt;http://cvc.cervantes.es/ensenanza/biblioteca_ele/marco/cvc_mer.pdf&lt;/strong&gt;&lt;/a&gt;).&lt;/p&gt;


    Gender perspective: According to the different regulations applicable to university teaching, the gender perspective must be incorporated in this subject (non-sexist language will be used, bibliography of authors of both sexes will be incorporated, ...).

    Sexist prejudices and attitudes will be identified and avoided, and values of respect and equality will be promoted. Work will be done to detect situations of gender discrimination and actions and measures will be proposed to correct them.


    (*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.