Meta analyses - PowerPoint PPT Presentation


FST Research

Approach, sustain, and breach the knowledge frontier through the Researcher Development Framework. Explore different research clusters and embrace passion, creativity, and picking a research area. Stay informed with continuous literature flow and meta-analyses.

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Data Augmentation Techniques for Deep Learning-Based Medical Image Analyses

Various data augmentation techniques for improving deep learning-based medical image analyses. It covers topics such as overfitting, data labeling, and the use of generative adversarial networks (GANs).

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Understanding Data Requirements and Inflow Calculations for Reservoir Storage-Yield Analyses

Explore the detailed data requirements essential for conducting storage-yield analyses with examples of data sources, emphasizing the significance of longer inflow records. Delve into the calculation methods for inflows using mass balance equations and learn about estimating inflows from nearby stre

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Strategies for Advancing Net Zero Homes and Affordability in Massachusetts

Urgent action is required in Massachusetts to reduce carbon emissions from residential buildings and address housing affordability. The intersection of net zero goals and affordability is crucial, requiring policy recommendations and affordability analyses to guide the transition. Research questions

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Introduction to Meta-analysis in Stata

This workshop, presented by Dr. Christine R. Wells from UCLA, provides an in-depth exploration of meta-analysis in Stata. Participants will learn about systematic reviews, data collection and organization, running meta-analyses, interpreting results, creating graphs, and identifying biases. The focu

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Evidence on Multiple Micronutrient Supplementation for Maternal Health

Multiple Micronutrient Supplementation (MMS) offers significant benefits compared to Iron and Folic Acid (IFA) for pregnant and nursing women. UNIMMAP MMS contains 15 essential vitamins and minerals, meeting requirements poor diets cannot fulfill. Research supports the effectiveness and safety of MM

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Interactive Web-Based Shiny Apps for Meta-Analysis of Diagnostic Test Accuracy

Explore interactive Shiny apps presented by Nicola Cooper and team for conducting meta-analysis of diagnostic test accuracy data with a point-and-click interface. Find educational primers, principles, and tools to enhance evidence synthesis methods and visualization in healthcare.

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Substituent Effects on Benzene Reactivity and Orientation

Substituents in benzene derivatives influence reactivity and orientation in electrophilic substitution reactions. They can be classified as ortho-para directing or meta directing based on their effect. Ortho-para directing groups increase electron density and activate the ring, while meta directing

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Introduction to Three-Level Meta-Analysis Models in R: A Practical Example

Explore three-level meta-analysis models in R with a focus on the association between paternal anxiety and child emotional problems. Learn to prepare data files, fit models using the rma.mv function in metafor, and understand the structure of the formula for random effects. Follow along with a step-

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Understanding Systematic Reviews, Meta-analysis, and Clinical Practice Guidelines

Explore the importance of systematic reviews, critical appraisal questions, meta-analysis, and clinical practice guidelines in the healthcare field. Learn about the process of appraising systematic reviews, the significance of meta-analysis, and the benefits of following clinical practice guidelines

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Understanding Prior Beliefs and Eliciting Expert Opinions in Parameter Estimation

Prior beliefs play a crucial role in estimating parameters of interest before observing events. They can be elicited from sources like meta-analyses, literature, and expert opinions. Experts' beliefs are often measured using Beta or Normal distributions for different outcomes. Eliciting prior belief

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Exploring Meta-Ethics: Understanding Ethical Principles

Meta-ethics delves into the nature and validity of ethical statements, examining the meaning of right and wrong and the basis for moral claims. It explores distinctions between descriptive and normative ethics, cognitive and non-cognitive perspectives, and various ethical approaches such as naturali

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Comprehensive Overview of Admetan: A New Meta-Analysis Command

This meta-analysis command, Admetan, introduced by David Fisher from MRC Clinical Trials Unit at UCL, offers a comprehensive analysis of combining results from independent studies. It builds on the history of meta-analysis in Stata and aims to enhance capabilities for researchers. Admetan provides f

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Neuroimaging Group Analyses: Methods and Results Overview

In this collection of images and descriptions, various aspects of group analyses in neuroimaging research are explored, including statistical parametric mapping, first-level analyses, and assessing different subjects using fixed effects, random effects, and mixed effects analysis. The content delves

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Meta-Analysis in GWAS: Methods and Applications

Meta-analysis in GWAS involves combining data across studies to estimate overall effects, explore cohort differences, improve power, and replicate findings. It includes joint vs. meta-analysis, methods, and types such as fixed effect and random effect meta-analyses.

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Challenges and Perspectives in Subgroup Analyses for Regulatory and HTA Methods

This presentation discusses the importance of subgroup analyses in pharmaceutical development, focusing on perspectives from regulatory agencies, HTA bodies, and the pharmaceutical industry. It highlights the challenges, methods, and recommendations for optimizing subgroup analyses to enhance drug d

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Meta-Evaluation of Private Sector Interventions in Agribusiness: Impacts and Methodologies

This meta-evaluation study explores the impact of access to finance and farmer/business training interventions on agribusiness indicators. It discusses the methodologies used in evaluations, highlighting the use of randomized control trials and quasi-experimental methods. Findings provide insights i

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Meta's Role in Amplifying Anti-Rohingya Hate on Facebook

The investigation findings reveal Meta's failure to address hate speech and incitement against the Rohingya people on Facebook, resulting in a platform that amplified and promoted harmful content. Despite admitting in 2018 that more needed to be done, Meta's business model of data collection and eng

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Critical Evaluation of Clinical Studies and Guidelines

Understanding the need to critically evaluate studies, different study types aiding clinicians, bias and random errors affecting study outcomes, finding reliable studies, and the importance of meta-analyses in clinical practice guidelines. Emphasizing the significance of evidence-based decision-maki

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Understanding Cherry-Picking in Research: Practices and Consequences

Cherry-picking in research involves selectively reporting variables, conditions, or treatments with high p-values, omitting non-significant results, and claiming completeness when other models were also tested. This unethical practice skews meta-analyses, impedes interpretation, leads to redundant i

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Meta-programming in Haskell: A Closer Look at Splices and Quotations

Explore the world of meta-programming in Haskell through splices and quotations. Learn about successful extensions introduced by Simon Peyton Jones and Tim Sheard, including practical examples like generating source code using splices that are type-checked and compiled at compile time. Dive into con

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Evidence for Hydrometeor Storage and Advection Effects in DYNAMO Budget Analyses of the MJO

Variational constraint analyses (VCA) were conducted for DYNAMO in two regions to compare observed radar rainfall data with conventional budget method results, examining differences and composite analyses of MJO events. The study utilized input data including Gridded Product Level 4 sounding data an

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Meta-Analysis of Convention Satisfaction and Loyalty Trends

This meta-analysis explores the relationship between attributes, perceptions, satisfaction, and loyalty in the convention industry. It highlights key findings from multiple studies using statistical methods to analyze attendee satisfaction and loyalty factors. The study emphasizes the importance of

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Exploring Funnel Plots in Meta-analysis with Metafor in R

Funnel plots in meta-analysis help assess distribution symmetry, heterogeneity, and publication bias. The trim and fill analysis with Metafor in R examines data transformations, imputes missing values, and performs sensitivity analysis through re-computing funnel plots.

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Understanding Prediction and Confidence Intervals in Meta-Analysis

Conceptually, I-squared represents the proportion of total variation due to true differences between studies, while Proportion of total variance is due to random effects. Prediction intervals provide a range where study outcomes are expected, unlike confidence intervals which contain the parameter's

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The Statistical Association Between Substance Misuse and Criminal Behavior

This brief synthesis discusses the statistical association between substance misuse (specifically drugs and alcohol) and criminal behavior. It draws upon meta-analyses investigating the links between drug use and crime, as well as alcohol consumption and violent behavior. Various theories are explor

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Exploring the Future Role of State Governance through Meta-Governance and Political Leadership

Governance research perspective discusses the evolving role of the state in mobilizing public and private actors through interactive forms of governance. Meta-governance theory emphasizes the governance of governance, with a focus on interactive governance arenas. Recent theories of political leader

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Interactive Microbiome Data Analysis with Parallel-Meta Suite

Conduct interactive and rapid microbiome data analysis on various platforms using Parallel-Meta Suite. This software, developed by a team from Qingdao University, simplifies the process from installation to verification. Utilize the step-by-step guide to download, install, and verify the software to

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Understanding Contexts: A Meta-Ontological Approach

Ontologies provide a general representation of reality, but knowledge is mostly context-dependent. Analyzing different types of contexts, from linguistic to manufacturing, remains a challenge. This study aims to deepen the understanding of the ontological nature of contexts by leveraging a meta-onto

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Decoding Genetics: Insights from Alzheimer's Disease Symposium to Type 2 Diabetes Study

Explore the latest findings from the Alzheimer's Disease Genetics Symposium 2019 on disease mechanisms, drug targets, and genetic pathways. Dive into the progress made by the Alzheimer's Disease Genetics Consortium over the past decade. Transition to a Genome-Wide Association Study uncovering suscep

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Geographical Latent Variable Models for Microblog Retrieval

Addressing challenges in microblog retrieval such as vocabulary mismatch and multi-faceted relevance signals. Explore opportunities in leveraging lexical and non-lexical information, including geographical meta-data. Discuss prior work on utilizing timestamps and re-tweets, while also highlighting t

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Developing Essential Meta-Skills for Personal Growth

Enhancing meta-skills such as focusing, initiative, integrity, adapting, collaborating, leading, communicating, and feeling is crucial for personal development. These skills enable individuals to maintain concentration, make confident decisions, uphold ethical values, embrace change, build relations

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Bayesian Meta-Prior Learning Using Empirical Bayes: A Framework for Sequential Decision Making Under Uncertainty

Explore the innovative framework proposed by Sareh Nabi at the University of Washington for Bayesian meta-prior learning using empirical Bayes. The framework aims to optimize ad layout and classification problems efficiently by decoupling learning rates of model parameters. Learn about the Multi-Arm

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Enhancing Understanding of Meta-Cognition, Motivation, and Affect in Psychology Classes

The content discusses survey responses and feedback on a psychology class focused on meta-cognition, motivation, and affect. Students shared insights on the best and worst parts of the discussions, highlighting the importance of staying on topic. The format of lectures followed by discussions was al

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Critical Review of Autism Early Intervention Approaches

This content explores the effectiveness of different early intervention approaches for children with autism, including the Picture Exchange Communication System (PECS) and the Hanen More Than Words (MTW) program. Studies and meta-analyses provide insights into these approaches' impact on social comm

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Understanding Meta-Analysis: A Comprehensive Overview

Meta-analysis is a technique that combines results from various studies by converting them to a common measure, typically effect size. It faces challenges due to variations in population variability, selection of studies, and sensitivity of outcome measures. Factors like age, population characterist

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Enhancing Critical Thinking in EAP Writing: A Meta-Synthesis Study

Investigating the teaching approaches to critical thinking in EAP writing classes, this meta-synthesis research delves into the importance of critical thinking, key issues in the literature review, defining critical thinking, enhancing criticality in academic writing, and understanding critical thin

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Understanding Systematic Reviewing and Meta-Analysis

Explore the significance of systematic reviewing and meta-analysis in research literature, including definitions, options for conducting reviews, and reasons for the shift away from narrative reviewing. Discover the essential principles and future directions of systematic review practices.

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Role of Systematic Reviews in Nutrition Guideline Development

Mei Chung, MPH, PhD, an Associate Professor in the field of Nutrition Epidemiology and Data Science, plays a significant role in conducting systematic reviews and meta-analyses to support and inform nutrition guideline and policy development. Her work involves identifying research gaps, informing po

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Common Mistakes in Ethical Analyses: A Guide

The article discusses common errors in ethical analyses and applications, including wrongful appeals to authority, incomplete analyses, and the importance of consulting with professionals. It highlights instances where decisions may be based solely on others' opinions without thorough assessment, em

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