Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
From complexity to clarity: how directed acyclic graphs enhance the study design of systematic reviews and meta-analyses
by
Caulley, Lisa M.
, Dijk, Stijntje W.
, Hunink, Myriam
, Labrecque, Jeremy
in
Bias
/ Cardiology
/ Complex variables
/ Complexity
/ Confounding Factors, Epidemiologic
/ Data analysis
/ Data Interpretation, Statistical
/ Efficiency
/ Epidemiology
/ Graph theory
/ Graphs
/ Humans
/ Infectious Diseases
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Meta-analysis
/ Methods
/ Oncology
/ Public Health
/ Research Design
/ Systematic Reviews as Topic
/ Variables
2024
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
From complexity to clarity: how directed acyclic graphs enhance the study design of systematic reviews and meta-analyses
by
Caulley, Lisa M.
, Dijk, Stijntje W.
, Hunink, Myriam
, Labrecque, Jeremy
in
Bias
/ Cardiology
/ Complex variables
/ Complexity
/ Confounding Factors, Epidemiologic
/ Data analysis
/ Data Interpretation, Statistical
/ Efficiency
/ Epidemiology
/ Graph theory
/ Graphs
/ Humans
/ Infectious Diseases
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Meta-analysis
/ Methods
/ Oncology
/ Public Health
/ Research Design
/ Systematic Reviews as Topic
/ Variables
2024
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
From complexity to clarity: how directed acyclic graphs enhance the study design of systematic reviews and meta-analyses
by
Caulley, Lisa M.
, Dijk, Stijntje W.
, Hunink, Myriam
, Labrecque, Jeremy
in
Bias
/ Cardiology
/ Complex variables
/ Complexity
/ Confounding Factors, Epidemiologic
/ Data analysis
/ Data Interpretation, Statistical
/ Efficiency
/ Epidemiology
/ Graph theory
/ Graphs
/ Humans
/ Infectious Diseases
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Meta-analysis
/ Methods
/ Oncology
/ Public Health
/ Research Design
/ Systematic Reviews as Topic
/ Variables
2024
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
From complexity to clarity: how directed acyclic graphs enhance the study design of systematic reviews and meta-analyses
Journal Article
From complexity to clarity: how directed acyclic graphs enhance the study design of systematic reviews and meta-analyses
2024
Request Book From Autostore
and Choose the Collection Method
Overview
While frameworks to systematically assess bias in systematic reviews and meta-analyses (SRMAs) and frameworks on causal inference are well established, they are less frequently integrated beyond the data analysis stages. This paper proposes the use of Directed Acyclic Graphs (DAGs) in the design stage of SRMAs. We hypothesize that DAGs created and registered a priori can offer a useful approach to more effective and efficient evidence synthesis. DAGs provide a visual representation of the complex assumed relationships between variables within and beyond individual studies prior to data analysis, facilitating discussion among researchers, guiding data analysis, and may lead to more targeted inclusion criteria or set of data extraction items. We illustrate this argument through both experimental and observational case examples.
Publisher
Springer Netherlands,Springer Nature B.V
Subject
This website uses cookies to ensure you get the best experience on our website.