Fleminger.

Slides:



Advertisements
Similar presentations
Change in schedule… Website currently says…  August 5 th – first draft  August 19 th – second draft Lets have instead…  August 19 th – first draft.
Advertisements

Significance and effect sizes What is the problem with just using p-levels to determine whether one variable has an effect on another? Don’t EVER just.
Statistical Models in Meta- Analysis T i ~ N(  i  i 2 )  i ~ N(  2 )
The Campbell Collaborationwww.campbellcollaboration.org Moderator analyses: Categorical models and Meta-regression Terri Pigott, C2 Methods Editor & co-Chair.
Copyright ©2010 Pearson Education, Inc. publishing as Prentice Hall Basic Marketing Research: Using Microsoft Excel Data Analysis, 3 rd edition Alvin.
Copyright (c) Bani K. Mallick1 STAT 651 Lecture #18.
Retrieval Evaluation: Precision and Recall. Introduction Evaluation of implementations in computer science often is in terms of time and space complexity.
Compilers and Interpreters. Translation to machine language Every high level language needs to be translated to machine code There are different ways.
Heterogeneity in Hedges. Fixed Effects Borenstein et al., 2009, pp
The graphing calculator can be a great checking tool or a fast way to answer a multiple choice question. Example – suppose you graphed the following and.
Marshall University School of Medicine Department of Biochemistry and Microbiology BMS 617 Lecture 12: Multiple and Logistic Regression Marshall University.
1 Doing Statistics for Business Doing Statistics for Business Data, Inference, and Decision Making Marilyn K. Pelosi Theresa M. Sandifer Chapter 11 Regression.
One-Factor Experiments Andy Wang CIS 5930 Computer Systems Performance Analysis.
Chapter 14 – Correlation and Simple Regression Math 22 Introductory Statistics.
Moderators. Definition Moderator - A third variable that conditions the relations of two other variables Example: SAT-Quant and math grades in school.
Data Analysis in Systematic Reviews-Meta Analysis.
Rater Reliability How Good is Your Coding?. Why Estimate Reliability? Quality of your data Number of coders or raters needed Reviewers/Grant Applications.
Chapter 14: Inference about the Model. Confidence Intervals for the Regression Slope (p. 788) If we repeated our sampling and computed another model,
The Campbell Collaborationwww.campbellcollaboration.org C2 Training: May 9 – 10, 2011 Introduction to meta-analysis.
1 Introduction Description of the video series Meta-analysis in R with Metafor.
Reasoning in Psychology Using Statistics
Biostatistics Case Studies 2005 Peter D. Christenson Biostatistician Session 6: “Number Needed to Treat” to Prevent One Case.
CS121 Quiz 3 Fall 2012 Quiz Tips. Quiz 1 Tips Question 1 From the many calculation choices, use eval to calculate the dependent variable P(s), but use.
Essential Statistics Chapter 11 Picturing Distributions with Graphs.
Investigating Patterns Cornell Notes & Additional Activities.
Going from data to analysis Dr. Nancy Mayo. Getting it right Research is about getting the right answer, not just an answer An answer is easy The right.
Graphing Basics. Creating a graph Draw the y-axis on the vertical axis and the X-axis on the horizontal one Label what variable is on each of the axis.
LECTURE 4 EPSY 652 FALL Computing Effect Sizes- Mean Difference Effects Glass: e = (Mean Experimental – Mean Control )/SD o SD = Square Root (average.
Lecture 5 EPSY 642 Victor Willson Fall EFFECT SIZE DISTRIBUTION Hypothesis: All effects come from the same distribution What does this look like.
How Good is a Model? How much information does AIC give us? –Model 1: 3124 –Model 2: 2932 –Model 3: 2968 –Model 4: 3204 –Model 5: 5436.
How to build graphs, charts and plots. For Categorical data If the data is nominal, then: Few values: Pie Chart Many Values: Pareto Chart (order of bars.
Soon everybody will … Dangerous Extrapolations. ‘By 1999, everybody will have a video recorder!’ This was a claim made in 1994, when the sales of video.
Scatter Plots & Lines of Best Fit To graph and interpret pts on a scatter plot To draw & write equations of best fit lines.
Meta-analysis Overview
I-squared Conceptually, I-squared is the proportion of total variation due to ‘true’ differences between studies. Proportion of total variance due to.
Categorical Variables in Regression
Evaluation Research and Meta-analysis
Intro to Single Paper Meta-Analyses
Association between Lipoprotein (a) Level and Type 2 Diabetes: No Evidence for a Causal Role of Lipoprotein (a) and Insulin Nikolaus Buchmann, Markus Scholz,
How Good is a Model? How much information does AIC give us?
Testing for moderators
Corticosteroids in the Management of Hyponatremia, Hypovolemia, and Vasospasm in Subarachnoid Hemorrhage: A Meta-Analysis Cerebrovasc Dis 2016;42:
Conducting Meta-Analysis in R: A Practical Introduction
Lecture 4: Meta-analysis
Chapter 3: Linear models
Evaluation Research and Meta-analysis
Regression and Residual Plots
Reasoning in Psychology Using Statistics
Association Between Variables Measured at Nominal Level
Interactions & Simple Effects finding the differences
Gerald - P&R Chapter 7 (to 217) and TEXT Chapters 15 & 16
Finding The Area Of Irregular Figures
Equivalent outcomes after coronary artery bypass graft surgery performed by consultant versus trainee surgeons: A systematic review and meta-analysis 
Systematic review and meta-analysis
Meta-analysis of randomized controlled trials on the efficacy and safety of ondansetron in preventing postanesthesia shivering  Min Li, Xiaolan Hu, Yuan.
Conversions of Effect Sizes
Chronic Hepatitis B Infection is Associated with Decreased Risk of Preeclampsia: A Meta-Analysis of Observational Studies Cell Physiol Biochem 2016;38:
Should We Use Antibiotic Prophylaxis for Flexible Cystoscopy
Reasoning in Psychology Using Statistics
Section 2: Linear Regression.
McLeod 2007.
Reasoning in Psychology Using Statistics
Section 3.2: Least Squares Regressions
Card 1 – Choose the correct graph and explain
One-Factor Experiments
Computer Science 1 Review and finish Number base conversion
Exercise 1 Use Transform  Compute variable to calculate weight lost by each person Calculate the overall mean weight lost Calculate the means and standard.
Effects of Smartphone-Based Mobile Learning in Nursing Education: A Systematic Review and Meta-analysis  Ju Hee Kim, Hanjong Park  Asian Nursing Research 
MetaForest Using random forests to explore heterogeneity in meta-analysis Caspar J. van Lissa, Utrecht University NL
Volume 154, Issue 1, Pages (July 2019)
Presentation transcript:

Fleminger

Analyses 1 Compute and interpret overall mean, CI 2. Compute and interpret heterogeneity stats Tau-squared I-squared PI 3. Graph overall results with forest plot and interpret 4. Compute and interpret categorical moderator 5. Compute and interpret continuous moderator 6. Run a funnel plot with trim-and-fill and interpret 7. Compare your results to those of the published article +

Fleminger Data

When I input OR and CI, the CMA program refused several of the rows (asymmetric CI was the error message). When I input the counts, it worked.

1. Overall They ran fixed-effects Not sure about the prediction interval. Might have to convert to log(OR) and back.

2. Heterogeneity I-squared is small. Note tau is in the metric of log(odds); hard to interpret.

Prediction Interval

3. Graph Overall Results CMA PUBLISHED GRAPH

4. Categorical Moderator Pre vs Post Mortimer

4. Categorical Moderator Pre vs Post Mortimer

5. Continuous Moderator

5. Continuous moderator

6. Funnel Plot