LajeunesseLab
LajeunesseLab
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explainer of funnel plots and sampling error of studies #shorts
Here's a quick explainer for funnel plots, where effect sizes or study outcomes are on the x-axis and the inverse of their variance or sampling error on the y-axis. Funnel plots are used to visualize sampling error among studies and potential publication bias.
#meta #studies #research
More about meta-analysis here: th-cam.com/video/3XkC_jetn-U/w-d-xo.html
มุมมอง: 360

วีดีโอ

Estimating Pi using Monte Carlo Simulation fails with jigglypuff Pokemon
มุมมอง 4282 ปีที่แล้ว
This quick video shows how you can use pseudo random number generation to estimate pi this method unfortunately does not work using jigglypuff, that's why this Pokemon is sad. Interpretation: If you count the number of random points falling within a circle enclosed by a unit square, then 4 times enclosed/total randoms will approximate pi. #pokemon #Rstats #maths #mathtricks The source code usin...
myiasis and screwworm eradication in Florida & USA - USF Medical Entomology Course, sample lecture
มุมมอง 1.2K2 ปีที่แล้ว
Here is a sample lecture of my Medical Entomology course (Fall 2021) at USF (University of South Florida, Tampa USA) where I introduce the course via the discussion of one of Florida's entomology success stories the eradication of new world screwworms (Cochliomyia hominivorax). Note this is not a proper lecture, but an introduction meant to set the tone for what students should expect throughou...
What makes meta-analysis special? A statistics-light explanation.
มุมมอง 2K2 ปีที่แล้ว
Here I discuss the three ways meta-analysis achieves a high-quality synthesis of multiple published studies using statistics and effect sizes. #R #meta #synthesis I use a Monte Carlo simulation of studies to visualize and emphasize effect sizes, weighting by inverse variance, and modelling between-study variation. Simulations were rendered using the Switchboard package for R: cran.r-project.org...
streaming setup for teaching and other academic videos using streamlabs & Canon Rebel T3i
มุมมอง 4763 ปีที่แล้ว
Here I describe the hardware and software I use to stream content for live events like conference talks and Zoom meetings, and pre-recorded activities like online teaching and university lectures. This video was live streamed and unfortunately includes technical difficulties near the end. #streamlabs #streaming #teaching Hardware: Canon EOS Rebel T3i, 50mm lens, USB microphone, HDMI capture dev...
Agile dashboards in R with the switchboard package | LajeunesseLab
มุมมอง 1.7K3 ปีที่แล้ว
Dashboards are great for data snapshots here is a tutorial on how to create more dynamic, real-time dashboards with the switchboard package for R. The switchboard package is useful to generate visualizations for iterative simulations. #R #visualizations #dashboards 00:00:00​ This video showcases switchboard's beta functionality as an agile dashboard 00:00:07 motivation for R package 00:03:00 cr...
Are there patents on meta-analysis and systematic reviews?
มุมมอง 3223 ปีที่แล้ว
Here I briefly discuss 3 patents that protect specific research synthesis methodologies relating the the automation of meta-analysis and systematic reviews. 00:00:00 Introduction 00:01:10 Goals and how I found patents 00:03:30 Patent 1 - System and method for automatically generating systematic reviews of a scientific field 00:07:50 Patent 2 - Automated meta-analysis system 00:13:50 Patent 3 - ...
start your meta-analysis with these 12 tasks to boost feasibility and project engagement
มุมมอง 1.8K3 ปีที่แล้ว
Here I outline 12 tasks you can do before starting your first meta-analysis project. These tasks are meant to improve topic knowledge, meta-analysis knowledge, and finally systematic skills. By completing these tasks, you can improve the feasibility of your research synthesis project and your overall engagement to see it through to completion. 00:00:00 Your first meta-analysis project 00:00:50 ...
How to extract data from images using the juicr package for R
มุมมอง 7K3 ปีที่แล้ว
The juicr package for R can be used for extracting numerical data from one or many images using automated, semi-automated, and manual tools. 00:00:00​ This video showcases juicr's beta functionality as an plot digitizer 00:00:25 video goals 00:01:10 loading package into R 00:02:18 starting the GUI and load images 00:02:50 automate extraction from single image 00:03:03 automate extractions from ...
bubble-plots in Excel for meta-regressions | Spreadsheet Synthesis
มุมมอง 1.4K3 ปีที่แล้ว
A bubble-plot is a type of scientific plot that displays the relationship between effect sizes and a continuous predictor with effect sizes presented as bubbles of different sizes to emphasize their relative weight in the meta-regression. Finally, it also typically includes the predicted linear fit using a slope and intercept estimated from a meta-regression model. Sometimes this type of bubble...
meta-regression in Excel tutorial | Spreadsheet Synthesis
มุมมอง 3.6K3 ปีที่แล้ว
Meta-regression is a statistical approach for synthesizing the impact of predictors (or moderators) on effect size study outcomes using regression-based techniques (e.g., estimating slope, intercept). It is similar to meta-analysis, but includes predictors in models. 00:00:00 Here I outline how to calculate the following in Microsoft Excel: 00:01:23 goals 00:02:19 dataset summary 00:07:01 fixed...
Quick interface for screening studies in Excel | Spreadsheet Synthesis
มุมมอง 7K3 ปีที่แล้ว
A common task in research synthesis projects, like meta-analysis or systematic reviews, is the screening of individual studies for inclusion. 00:00:00 Here I show you how to quickly generate a screening interface with inclusion/exclusion buttons to facilitate the rapid screening of multiple studies: 00:02:38 setting up bibliographic data and spreadsheet for displaying titles/abstracts 00:09:58 ...
Creating publication-quality forest plots in Excel | Spreadsheet Synthesis
มุมมอง 38K3 ปีที่แล้ว
Creating publication-quality forest plots in Excel | Spreadsheet Synthesis
tutorial on how to do a meta-analysis in Excel | Spreadsheet Synthesis
มุมมอง 25K3 ปีที่แล้ว
tutorial on how to do a meta-analysis in Excel | Spreadsheet Synthesis
Lecture 26 - writing the Discussion to a meta-analysis | Hard-Boiled Synthesis (Fall 2020)
มุมมอง 2.4K3 ปีที่แล้ว
Lecture 26 - writing the Discussion to a meta-analysis | Hard-Boiled Synthesis (Fall 2020)
Lecture 25 - writing the Results of a meta-analysis | Hard-Boiled Synthesis (Fall 2020)
มุมมอง 1.5K3 ปีที่แล้ว
Lecture 25 - writing the Results of a meta-analysis | Hard-Boiled Synthesis (Fall 2020)
Lecture 24 | writing the methods section of a meta-analysis | Hard-Boiled Synthesis (Fall 2020)
มุมมอง 9553 ปีที่แล้ว
Lecture 24 | writing the methods section of a meta-analysis | Hard-Boiled Synthesis (Fall 2020)
Lecture 23 - writing the introduction to a meta-analysis | Hard-Boiled Synthesis (Fall 2020)
มุมมอง 8093 ปีที่แล้ว
Lecture 23 - writing the introduction to a meta-analysis | Hard-Boiled Synthesis (Fall 2020)
Lecture 22 | publication bias in meta-analysis | Hard-Boiled Synthesis (Fall 2020)
มุมมอง 7893 ปีที่แล้ว
Lecture 22 | publication bias in meta-analysis | Hard-Boiled Synthesis (Fall 2020)
Channel Introduction | LajeunesseLab with Dr. Marc Lajeunesse
มุมมอง 2.4K3 ปีที่แล้ว
Channel Introduction | LajeunesseLab with Dr. Marc Lajeunesse
Lecture 21 - multi-factor meta-analysis | Hard-Boiled Synthesis (Fall 2020)
มุมมอง 5583 ปีที่แล้ว
Lecture 21 - multi-factor meta-analysis | Hard-Boiled Synthesis (Fall 2020)
Lecture 20 - continuous predictors and meta-regression | Hard-Boiled Synthesis (Fall 2020)
มุมมอง 5903 ปีที่แล้ว
Lecture 20 - continuous predictors and meta-regression | Hard-Boiled Synthesis (Fall 2020)
Lecture 19 - categorical predictors & inconsistency among groups | Hard-Boiled Synthesis (Fall 2020)
มุมมอง 5743 ปีที่แล้ว
Lecture 19 - categorical predictors & inconsistency among groups | Hard-Boiled Synthesis (Fall 2020)
Lecture 18 - random-effects meta-analysis of catnip repellency | Hard-Boiled Synthesis (Fall 2020)
มุมมอง 8493 ปีที่แล้ว
Lecture 18 - random-effects meta-analysis of catnip repellency | Hard-Boiled Synthesis (Fall 2020)
Lecture 17 - fixed-effect meta-analysis & sampling error weights | Hard-Boiled Synthesis (Fall 2020)
มุมมอง 9363 ปีที่แล้ว
Lecture 17 - fixed-effect meta-analysis & sampling error weights | Hard-Boiled Synthesis (Fall 2020)
Lecture 16 - converting effect sizes into a common currency | Hard-Boiled Synthesis (Fall 2020)
มุมมอง 8893 ปีที่แล้ว
Lecture 16 - converting effect sizes into a common currency | Hard-Boiled Synthesis (Fall 2020)
Lecture 15 - calculating effect sizes for meta-analysis | Hard-Boiled Synthesis (Fall 2020)
มุมมอง 2K3 ปีที่แล้ว
Lecture 15 - calculating effect sizes for meta-analysis | Hard-Boiled Synthesis (Fall 2020)
Lecture 14 - extraction summary and postmortem | Hard-Boiled Synthesis (Fall 2020)
มุมมอง 7693 ปีที่แล้ว
Lecture 14 - extraction summary and postmortem | Hard-Boiled Synthesis (Fall 2020)
Lecture 13 - introduction to effect sizes for meta-analysis | Hard-Boiled Synthesis (Fall 2020)
มุมมอง 2.3K3 ปีที่แล้ว
Lecture 13 - introduction to effect sizes for meta-analysis | Hard-Boiled Synthesis (Fall 2020)
Lecture 12 - final coding & extraction example for meta-analysis | Hard-Boiled Synthesis (Fall 2020)
มุมมอง 7543 ปีที่แล้ว
Lecture 12 - final coding & extraction example for meta-analysis | Hard-Boiled Synthesis (Fall 2020)

ความคิดเห็น

  • @trishitabose2228
    @trishitabose2228 2 หลายเดือนก่อน

    How you created RF model and the other model state that too

  • @areenibrahim5467
    @areenibrahim5467 3 หลายเดือนก่อน

    Thank you so so much

  • @AnfalArshadCh
    @AnfalArshadCh 3 หลายเดือนก่อน

    thank you for this lecture series.

  • @amyjiao2936
    @amyjiao2936 4 หลายเดือนก่อน

    This is art level of using excel!!! Thank you us much!!

  • @preyanmehta9275
    @preyanmehta9275 5 หลายเดือนก่อน

    in the original graph there are different box sizes for different weights of the studies, does anyone know how can we incorporate this into the graph?

  • @kalalakanyanda8418
    @kalalakanyanda8418 5 หลายเดือนก่อน

    Have watched all the series and am so grateful to you, am in the field of medicine but the same applies to all fields.

  • @Selvax94
    @Selvax94 7 หลายเดือนก่อน

    Hi and thank you very much for the amazing work. QUESTION: why in hell my title crossbars don't show the negative part of the bar? I've tried everything, including "show both sides" obv... I feel like my excel is just bugged sometimes, like when I select a series of values or bars in the graph not all of them appear selected (light blue dots around them) but the actually modify if I change values 😅. I'm lost guys😞

  • @nicorogervonlohengramm
    @nicorogervonlohengramm 7 หลายเดือนก่อน

    Thank you so much sir 😊

  • @farinagarcia4299
    @farinagarcia4299 7 หลายเดือนก่อน

    Jigglypuf #que de TH-cam en jigglypuf

  • @early4thegameNOW
    @early4thegameNOW 7 หลายเดือนก่อน

    Its clearly Wooloo

  • @dipanjanbagchi5911
    @dipanjanbagchi5911 8 หลายเดือนก่อน

    Hello, I must say you have done a great job. When I am opening the gui for abstract screening, the title and abstract cells are empty. I have downloaded the data from the Scopus database as a CSV file. Can you please help me?

    • @adnanmayof
      @adnanmayof 7 หลายเดือนก่อน

      I had the same problem today with the abstract screener, but here the solution: 1. Open the excel that has the data. 2. Click on file. 3. Click on Save As. 4. Save the file as CSV(coma delimited) (*.csv)

  • @impromptuenglish6378
    @impromptuenglish6378 9 หลายเดือนก่อน

    Thank you very much for the tutorial. Can you please provide the code for prism flow chart you input in R?

  • @sharonbergeman7641
    @sharonbergeman7641 10 หลายเดือนก่อน

    thank you for making this, i am a master student trying to do a literature review and meta analysis for my masters thesis project and to follow what you do makes it more clear what i should be focusing on, and makes it less intimidating!

  • @TheEnglishStories_
    @TheEnglishStories_ 10 หลายเดือนก่อน

    Hey I really wanna thankyou for doing this! Means a lot to me! Love from India!

  • @mohdmominashraf
    @mohdmominashraf 11 หลายเดือนก่อน

    Love this

  • @saikatsamadder5472
    @saikatsamadder5472 11 หลายเดือนก่อน

    Love from India

  • @aliceusa383
    @aliceusa383 11 หลายเดือนก่อน

    Thank you! Very useful. How do we get those d and variance from literatures? For example, I got the OR=1.25 (group treatment vs control), then what is the d and variance here?

  • @ethanmccullough5703
    @ethanmccullough5703 ปีที่แล้ว

    Electrode’s face😂 Also, why did James say a Poké ball? It said identify a Pokémon.

  • @o45727
    @o45727 ปีที่แล้ว

    didn't want to use R so this was massively helpful!!

  • @noormaghmoom
    @noormaghmoom ปีที่แล้ว

    How can i send you a screen shoot of my window?

  • @noormaghmoom
    @noormaghmoom ปีที่แล้ว

    Hi, i can,t see the right side window of juicer when open the juicr

  • @angga5166
    @angga5166 ปีที่แล้ว

    thank you very much for the lecture. God bless U

  • @learninginternalmedicine
    @learninginternalmedicine ปีที่แล้ว

    That's great... Nobody teaches and explains as simple as you made it for us... I think i can start my study side by side listening to your lectures...

  • @YvesAustin
    @YvesAustin ปีที่แล้ว

    Wow! Incredible use of x,y scatter plot. Transforming what would otherwise be the vertical axes as data points and using data labels is brilliant.

  • @ErickKipropRonoh
    @ErickKipropRonoh ปีที่แล้ว

    Do you have a template? Thanks for the uploads!

  • @asdfghjkl7557
    @asdfghjkl7557 ปีที่แล้ว

    This was so useful thank you so so much

  • @nailtongaldino
    @nailtongaldino ปีที่แล้ว

    merci.

  • @claraggalvao
    @claraggalvao ปีที่แล้ว

    This is amazing! I’m from brazil and learning to start a research. You are by far The best that i have found. Thank you for sharing such a rich content in a free platform. The world thanks you 😊

  • @MarilynWimbisoKutamahufa
    @MarilynWimbisoKutamahufa ปีที่แล้ว

    I am new to this meta-analysis thing and as a student your videos have been very helpful, I have been watching a lot of videos that summarise the process, but the truth is when you are a first timer you need the whole process to be explained. Your examples of extraction were very helpful. Thank you for self-sacrificing your time for us.

  • @yusrarizvi9162
    @yusrarizvi9162 ปีที่แล้ว

    Hey, Mark. I don't usually comment on TH-cam videos but you're an exception. I was absolutely clueless about writing the result section of my meta-analysis before this but now I am not. This was very helpful. Thank you so much!

  • @nompumelelobaso4508
    @nompumelelobaso4508 ปีที่แล้ว

    I had so much fun with this episode! I like the surprize outcome

    • @LajeunesseLab
      @LajeunesseLab ปีที่แล้ว

      haha -- but watch lecture 19-20 -- where my opinions change! Too much heterogeneity to make any strong conclusions!

  • @utobesuckslol6687
    @utobesuckslol6687 ปีที่แล้ว

    Great content! Regarding data extraction for meta-analysis, let's say in a two-factor study with warming (T) and nitrogen addition (N), how many pairings can I form, apart from C(control) and T, C and N? What about TN and CN, TN and CT? Should I be concerned about double counting?

  • @Moonstonn
    @Moonstonn ปีที่แล้ว

    Thank you Dr Lajeunesse. Please do you have a full video on using a spreadsheet based program to draw a funnel plot in this series?

  • @fakenews_scientist
    @fakenews_scientist ปีที่แล้ว

    Love it! Keep it up Marc!

    • @LajeunesseLab
      @LajeunesseLab ปีที่แล้ว

      Josh! It's been while! Hope everything is well!

  • @prabpharm07
    @prabpharm07 ปีที่แล้ว

    Hi Marc, I have been working for over 19 years in evidence synthesis in health care, mostly performing lit reviews and meta-analyses. I have been using web application of plot digitizer for years. I also came across digitize package in R, but never used that. I saw this video today and feel I can automate plot digitization with juicer. I am wondering if you have a peer reviewed publication on the precision of this package? And yes, I have to digitize survival curves (Kaplan Meier plots) mostly.

    • @prabpharm07
      @prabpharm07 ปีที่แล้ว

      Okay, I just installed and ran one KM plot through it. Seems its completely unable to identify the KM plot, reading that like a scatter plot. Seems may not be useful for my purpose 😔

    • @LajeunesseLab
      @LajeunesseLab ปีที่แล้ว

      It's my plan this summer to update the package (with more ways to automate curves, like KM plots) and submit for publication -- sigh, so much to do, so little time 🙂

  • @SINTL
    @SINTL ปีที่แล้ว

    what ref should be cited while we perform this method, please

  • @RhushiZiradkar
    @RhushiZiradkar ปีที่แล้ว

    This video and the rest of the series have been fantastic and so helpful. Thank you! Your passion for this topic is clearly evident as well, which makes it that much better. Is there a way to make funnel plots for publication bias through Excel? Not sure if you made a video on this already, but I didn't see one. Thanks again for uploading these!

  • @aparnasm9040
    @aparnasm9040 ปีที่แล้ว

    I have a query...How to calculate effect sizes in Multilevel models (3-level models)?

  • @paullasso3233
    @paullasso3233 ปีที่แล้ว

    Hi! I have seen you replicate rows in your data set (therefore replicated study names) as each row is dedicated to the results for a "variation" in the experimental procedure, for example, a different dosage of the compound (each replication has a different dose). When you run your data-set through R studio, don't you get replicated study names as well? I am having this problem and do not know what to do.

  • @JoanneKinloch
    @JoanneKinloch ปีที่แล้ว

    When I have something I want to read or I know it's grey literature and not relevant to the review I usually use a "G" against it and use excel to pull them out separately

  • @James.Chien10
    @James.Chien10 ปีที่แล้ว

    Hi, thanks for sharing. D in the video = Cohen's d , right? How to calculate the VAR_D? thank you.

  • @JoanneKinloch
    @JoanneKinloch ปีที่แล้ว

    I thought you put "spoping" on purpose due to the nature of the list

  • @JoanneKinloch
    @JoanneKinloch ปีที่แล้ว

    This is amazing, thanks for sharing these videos! These have been helpful in trying to develop new systematic processes in work to streamline and reduce human error in our systematic literature reviews.

  • @georgi8709
    @georgi8709 ปีที่แล้ว

    juicr package for R seems the best free semi-automatic graph digitizer program for converting plots, graphs, charts and, who knows, maybe topographic and bathymetry maps (after preprocessing) into data points. And written by an ecologist, as I learned. It's just unbelievable judging by the video

    • @LajeunesseLab
      @LajeunesseLab ปีที่แล้ว

      Thanks, it's about due for an update -- one of many projects set for the summer!

  • @CalzOmon
    @CalzOmon ปีที่แล้ว

    Amazing, thank you so much

  • @ishaanguptasarma2675
    @ishaanguptasarma2675 ปีที่แล้ว

    In cell Q19, isn't that actually the variance rather than the sd?

  • @kikidebby1149
    @kikidebby1149 ปีที่แล้ว

    Hello, please I would like to ask you some questions. How can I contact you?

  • @chananime-ey5iq
    @chananime-ey5iq ปีที่แล้ว

    I am currently working on my docoral dissertation for my clinical psycholog program. I am planning to do a meta-analysis to see the effect that exercise has on alleviating the symptoms of depression. However, there is tons of research out there (thousands of articles found on PubMed, PsychInfo, and NICAHL). Any tips on how to screen them? Any advice would help.

  • @muhammadrana5072
    @muhammadrana5072 ปีที่แล้ว

    Excellent sir, really learned a lot

  • @alicewautie9576
    @alicewautie9576 ปีที่แล้ว

    Hi from Belgium! Very helpfull, thanks for sharing !