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HBO/WO

MBO

2025

Confounding and effect measure modification

This e-learning module consists of several (small) assignments to test your knowledge on confounding and effect modification. By the end of this module, you will be able to: distinguish effect measure modification and confounding construct a regression model in which a confounder is present

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Cora Busstra, Lenie Rossem, van, Luc Heerkens

August 23, 2023

Lecture: Decision Networks

Naive Bayesian networks Bayesian networks Decision networks Students can define a multivariate joint distribution: multinomial and Gaussian Students can explain the difference between association versus causation Students can define observational, causal, and counterfactual inference Students can define fairness using observational and counterfactual reasoning

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HCAIM Consortium

August 23, 2023

Lecture: Understanding data

Learner acquires demonstrable knowledge of data forms used in AI. Learner can talk about data using the right terminology (e.g., features, variables, observations). Learner knows the different data types and knows how to transform them (e.g., nominal, ordinal). Learner knows the most common measures for data description (e.g., mean, median, standard deviation) and knows how to calculate them. Learner acquires demonstrable knowledge of how data are described via measures and visualisation. Learner knows the most common graphs and knows how to pick a visualisation, matching the given data.

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HCAIM Consortium

2023

Lecture Notes chapter 6: Empirical Research Process

This "Maker Lab" course focuses on supporting student open inquiries. In other words, students are tasked with doing empirical scientific research and thereby constructing scientific knowledge. This document aims to outline what this entails, and does so by closely following work by Carl Wieman* and Natasha Holmes**. Note: If you do not (yet) have Jupyter Notebook, you cannot fully utilize the .ipynb file. But the attached PDF will give an idea of its content and functionality. Note also: In order to interact with and fully utilize the Jupyter Notebook documents (including their hyperlinks and pointers to data and image files), it is helpful to save the entire collection locally in a way that preserves the original directory structure. This is easiest to accomplish by downloading all files at once via the JupyterPython-materials zip file and unpacking it (extracting the files) to your preferred local directory. This zip file of all Jupyter Notebook materials is located here: https://search.edusources.nl/materialen/d144774e-9705-489a-b3cd-28e3618f7324 C. Wieman, “Comparative cognitive task analyses of experimental science and instructional laboratory courses”, Phys.Teach. 53, 349 (2015). http://www.cwsei.ubc.ca/SEI_research/files/Wieman_CTA_PT2015.pdf ** N. G. Holmes and C. Wieman, “Examining and contrasting the cognitive activities engaged in undergraduate research experiences and lab courses”, Phys. Rev. Phys. Educ. Res. 12, 020103 (2016). https://journals.aps.org/prper/pdf/10.1103/PhysRevPhysEducRes.12.020103

Document

Forrest Bradbury

February 12, 2020

Beroepsproduct advies - afstudeerfase - PP Week 4 Methode

PP behorende bij beroepsproduct advies Beroepsproduct Advies (afstuderen) bestaat uit: toetsbeschrijving, toetsmatrijs, beoordelingsformulier, beoordelingsformulier projectvoorstel, beoordelingsformulier project uitvoering, beoordelingsformulier praktijk (allen op wikiwijs) Uitkomst: De student is beroepsbekwaam in de verpleegkundige zorgpraktijk ten aanzien van de rollen Reflectieve EBP professional, Organisator en Professional en kwaliteitsbevorderaar. Je maakt zelfstandig een adviesproduct op basis van de resultaten van een praktijkgericht onderzoek dat je uitvoert. Dit adviesproduct kan gebruikt worden in de praktijk en bevordert de kwaliteit van de zorg.

UASPresentation

L.L.J. Koppes

January 30, 2020

EBP pubquiz

40 quizvragen, antwoorden en antwoordformulieren over EBP (bijv. EBP-cyclus, empirische cyclus, soorten onderzoek, centrummaten, databanken, etc.

UASDocument

B.J. van Hulst

January 9, 2020

Hoorcollege afstuderen week 9: Literatuurstudie

Dit hoorcollege is één van een serie hoor- en werkcolleges. De afstudeerfase van de hbov in Rotterdam bestaat uit 10EC. Studenten kunnen kiezen uit drie varianten; analyse complexe zorgsituatie, praktijkonderzoek en literatuurstudie. Gedurende 17 weken (één semester) krijgen de studenten 1 hoorcollege per week, gevolgd door 2 werkcolleges. De hoorcolleges (zoals die hieronder te vinden zijn) geven de student inzicht in methoden en technieken van onderzoek, maar ook in verdiepende colleges en schrijfvaardigheden.

UASPresentation

Dr. H. Groenewoud, MSc A.G. van Driel

January 9, 2020

Hoorcollege afstuderen week 4: Methoden

Dit hoorcollege is één van een serie hoor- en werkcolleges. De afstudeerfase van de hbov in Rotterdam bestaat uit 10EC. Studenten kunnen kiezen uit drie varianten; analyse complexe zorgsituatie, praktijkonderzoek en literatuurstudie. Gedurende 17 weken (één semester) krijgen de studenten 1 hoorcollege per week, gevolgd door 2 werkcolleges. De hoorcolleges (zoals die hieronder te vinden zijn) geven de student inzicht in methoden en technieken van onderzoek, maar ook in verdiepende colleges en schrijfvaardigheden.

UASPresentation

Dr. H. Groenewoud, MSc A.G. van Driel

May 8, 2018

10-16: Data analysis (descriptive)- micro lecture THE EFFECT OF THIRD VARIABLES: CONFOUNDING

In this micro lecture the following items will be explained regarding this lecture: Understanding the potential effect of ‘third’ variables, more specifically “Explanation/Confounding”

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Henk van der Kolk

May 8, 2018

03-06: Theory - micro lecture THE EFFECT OF THIRD VARIABLES: CONFOUNDING

In this micro lecture the following items will be explained regarding this lecture: Understanding the potential effect of 'third' variables, more specifically 'explaination/confounding'

Website

Henk van der Kolk