Health care professionals increasingly have to make clinical decisions in aging and diverse populations. Also, they have to deal with rising health care costs, fragmented health care supply and advancing medical technologies and IT systems. These developments go beyond every day practice and will require new skills. In this course we will walk you through key steps in designing a research study, from formulating the research question to common pitfalls you might encounter when interpreting your results. We will focus primarily on analytical studies used in etiological research, which aims to investigate the causal relationship between putative risk factors (or determinants) and a given disease or other outcome. However, the principles we will discuss hold true for most research questions, and you will also encounter these study designs in prognostic and diagnostic research settings.
Population Health: Study Design
ofrecido por
Population Health: Study Design
Acerca de este Curso
Qué aprenderás
You will be able to formulate a good research question
You will be able to interpret and apply different frequency and effect measures
You will be able to recognize errors and deal with bias and confounding
You will be able to describe basic principles of causal inference
Habilidades que obtendrás
100 % en línea
Fechas límite flexibles
Nivel intermedio
Aprox. 17 horas para completar
Inglés (English)
Programa - Qué aprenderás en este curso
Welcome to Study Design
Welcome to Population Health: Study Design! In this module you will get to know what the scope is of this course and you will learn how to be successful at online studying.
Design
In this module you will start to formulate a research question. You will be introduced to the most important study designs in epidemiology, and work out which study design fits your specific research question.
Measures
In this module you will calculate frequency and effect measures, and apply them to your own research questions. In addition, you will practice with constructing a life table and drawing a Kaplan-Meier curve.
Confounding and bias
In this module different types of error will be discussed, which can be either random or systematic in nature. Subsequently, you will learn to recognize bias and confounding. You will additionally gain hands-on experience with standardisation.
Inference
In this module you will calculate with averages, learn basic principles of causal inference, and be introduced to the concepts of regression to the mean and intention to treat.
Acerca de Universiteit Leiden
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
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.
¿Qué recibiré si compro el Certificado?
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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