Acerca de este Curso
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100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel principiante

No previous statistical knowledge is needed, just basic mathematical skills.

Aprox. 21 horas para completar

Sugerido: 13 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Qué aprenderás

  • Check

    Knows (the value of) all aspects of data management and acknowledge the importance of initial data analysis.

  • Check

    Knows the pros and cons of statistical methods and can choose the appropriate data analysis approach in common health related problems.

  • Check

    Is able to interpret statistical results and to draw responsible conclusions.

Habilidades que obtendrás

R ProgrammingData AnalysisRegression AnalysisData ReportingStatistical Data

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel principiante

No previous statistical knowledge is needed, just basic mathematical skills.

Aprox. 21 horas para completar

Sugerido: 13 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
2 horas para completar

Welcome to Responsible Data Analysis

1 video (Total 2 minutos), 7 lecturas
7 lecturas
Meet the instructors & the team10m
Leiden University: Facts & Figures10m
About this Course10m
Glossary10m
Tips for studying online10m
Community Guidelines 5m
What is your learning path?5m
4 horas para completar

From Individuals to Data

6 videos (Total 33 minutos), 4 lecturas, 7 cuestionarios
6 videos
Structured data collection6m
Data privacy and security8m
Data description8m
Initial data analysis7m
To conclude1m
4 lecturas
Structured data collection in practice30m
Privacy and security in practice15m
Case Study: Descriptive Statistics40m
Case study: Initial data analysis in practice20m
7 ejercicios de práctica
Learning goals and personal goal(s) 10m
Practice quiz20m
Practice Quiz20m
R exercise15m
R exercise: Initial data analysis30m
Reflect on your goals10m
Test your knowledge20m
Semana
2
4 horas para completar

From data to information I: statistical inference

6 videos (Total 37 minutos), 4 lecturas, 7 cuestionarios
6 videos
Statistical Inference9m
Fundamentals of hypothesis testing7m
Choosing the right statistical test8m
Sample size calculation7m
To conclude1m
4 lecturas
Confidence intervals in practice20m
Relation between p-values and confidence intervals30m
Hypothesis testing in practice25m
Case study: Sample size calculation in practice30m
7 ejercicios de práctica
Learning goals and personal goal(s)10m
Practice quiz statistical interference20m
Practice quiz hypothesis testing15m
Practice quiz: Which test?15m
Practice quiz: Sample size15m
Reflect on your goals10m
Test your knowledge20m
Semana
3
5 horas para completar

From data to information II: regression techniques

6 videos (Total 36 minutos), 5 lecturas, 7 cuestionarios
6 videos
Simple linear regression8m
Multiple linear regression7m
Logistic regression7m
Cox proportional hazards regression9m
To conclude1m
5 lecturas
Case study: Simple linear regression in practice30m
Dealing with binary explanatory variables
Case study: Multiple linear regression in practice15m
Case study: Logistic regression in practice25m
Case study: Cox proportional hazards regression in practice30m
7 ejercicios de práctica
Learning goals and personal goal(s)10m
R - exercise: Simple linear regression15m
R exercise: Multiple linear regression30m
R exercise: Logistic regression30m
R-exercise: Cox proportional hazards regression30m
Reflect on your goals10m
Test your knowledge20m
Semana
4
6 horas para completar

From information to knowledge

7 videos (Total 41 minutos), 4 lecturas, 5 cuestionarios
7 videos
Are most research findings false?8m
Interview12m
Data alone does not tell the whole story7m
Good statistical practice7m
To conclude1m
Course Conclusion56s
4 lecturas
The Likelihood of Irreproducible Research45m
Abandoning p-values?30m
Understanding Simpson's paradox15m
Why do we need to plan ahead?30m
5 ejercicios de práctica
Learning goals and personal goals10m
Practice quiz20m
Reflect on your goals10m
Test your knowledge30m
Final assessment1h 30m
4.9
3 revisionesChevron Right

Principales revisiones sobre Population Health: Responsible Data Analysis

por TASep 28th 2019

To research and review the data Population Health: Responsible Data Analysis is mostly perfect to me as a humanitarian.

por GAOct 7th 2019

Had much fun during this course. Hope more programmes like this in future are offered for free.

Instructores

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Mar Rodriguez Girondo

Assistant Professor
Biomedical Data Sciences
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Jelle Goeman

Professor
Biomedical Data Sciences
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Saskia le Cessie

Professor
Biomedical Data Sciences/Clinical Epidemiology

Acerca de Universiteit Leiden

Leiden University is one of Europe's foremost research universities. This prominent position gives our graduates a leading edge in applying for academic posts and for functions outside academia. Leiden University is the oldest university in the Netherlands. It was founded in February 1575, as a gift from William of Orange to the citizens of Leiden after they had withstood a long siege by the Spanish. Our motto is: Praesidium Libertatis — Bastion of Liberty....

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando compras un Certificado, obtienes acceso a todos los materiales del curso, incluidas las tareas calificadas. Una vez que completes el curso, se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes participar del curso como oyente sin costo.

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