Imputing intracluster correlation coefficients from a posterior predictive distribution is a feasible method of dealing with unit of analysis errors in a meta-analysis of cluster RCTs

Hierarchical Bayesian meta-analysis can be a useful method for improving estimation of key parameters for harvested fish populations. In hierarchical models, data from multiple populations are used simultaneously to obtain estimates of parameters for individual populations and characterize the variability among populations. Many populations of Pacific rockfishes ( Sebastes spp.) have declined off the US West Coast since the 1980s, and there is also concern for their conservation in Canada. We develop a hierarchical Bayesian meta-analysis to improve estimates of stock–recruit parameters, characterize management-related parameters (e.g., optimal harvest rate), and address uncertainties in the structural form of the stock–recruit function for Pacific rockfishes. We estimate steepness and optimal harvest rates for 14 populations of Pacific rockfishes under alternative assumptions about the underlying stock–recruit function (Beverton–Holt and Ricker). We provide a posterior predictive distribution of steepness for rockfishes that can be used as a prior in future assessments for similar populations. We also evaluate whether F40% is an appropriate proxy for FMSY for Pacific rockfishes and show that uncertainty in the natural mortality rate can have a significant effect on management advice derived from meta-analyses of stock–recruit data.

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A Meta Analytic Review of the Relationship between Emotional Intelligence and Leadership Effectiveness

Restaurant Business ◽

10.26643/rb.v118i9.7972 ◽

2019 ◽

Vol 118 (9) ◽

pp. 118-126

Author(s):

Augusty P. A ◽

Jain Mathew

Keyword(s):

Systematic Review ◽

Emotional Intelligence ◽

Direct Relationship ◽

Effective Leadership ◽

Leadership Effectiveness ◽

Meta Analysis ◽

Correlation Coefficients ◽

Review Of Literature ◽

Analytic Review ◽

The Relationship

The study evaluates the relationship between Emotional Intelligence and Leadership Effectiveness through a Systematic Review of Literature. The relationship has been evaluated in two steps. First, a Systematic review of literature was done to provide a theoretical framework to link the dimensions of Emotional Intelligence to the elements of effective leadership. Meta-analysis was then used to consolidate empirical evidence of the relationship. The studies for the meta-analysis were sourced from Pro Quest and EBSCO and the correlation coefficients of the studies were analysed. Only articles that presented the direct relationship between the variables were included in the study. The results of the analysis revealed a strong, statistically significant relationship between emotional intelligence and effective leadership. The findings of the study provide evidence for the proposition that Emotional Intelligence and Leadership Effectiveness are interrelated.

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The Cagey C-test Construct: Some Evidence from a Meta-analysis of Correlation Coefficients

System ◽

10.1016/j.system.2021.102526 ◽

2021 ◽

pp. 102526

Author(s):

Todd H. McKay ◽

Yasser Teimouri ◽

Ayşenur Sağdiç ◽

Bradford Salen ◽

Derek Reagan ◽

...

Keyword(s):

Meta Analysis ◽

Correlation Coefficients

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How Spatially Concentrated Are Industrial Clusters?: A Meta-analysis

Journal of Planning Literature ◽

10.1177/08854122211012921 ◽

2021 ◽

pp. 088541222110129

Author(s):

Li Fang ◽

Joshua Drucker

Keyword(s):

Spatial Scale ◽

Knowledge Spillovers ◽

Meta Analysis ◽

Empirical Studies ◽

Industrial Clusters ◽

Policy Makers ◽

Unit Of Analysis ◽

Industry Sector

This study conducts a meta-analysis of empirical studies that have measured the spatial scale of industrial clustering. Two types of scales are examined: the peak scale (at which cluster effects are maximized) and the maximum reach (beyond which cluster effects are undetectable). We find that the scale varies significantly by the unit of analysis, industry sector, country of study, and the sources of cluster effects examined (e.g., knowledge spillovers, localization, and urbanization). Planners and policy makers should tailor the geographies embodied in cluster strategies to match the specific local needs and circumstances.

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Intracluster correlation coefficients for the Brazilian Multicenter Study on Preterm Birth (EMIP): methodological and practical implications

BMC Medical Research Methodology ◽

10.1186/1471-2288-14-54 ◽

2014 ◽

Vol 14 (1) ◽

Cited By ~ 6

Author(s):

Giuliane J Lajos ◽

◽

Samira M Haddad ◽

Ricardo P Tedesco ◽

Renato Passini Jr ◽

...

Keyword(s):

Preterm Birth ◽

Multicenter Study ◽

Correlation Coefficients ◽

Intracluster Correlation ◽

Practical Implications

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Modeling Chickenpox Dynamics with a Discrete Time Bayesian Stochastic Compartmental Model

Complexity ◽

10.1155/2018/3060368 ◽

2018 ◽

Vol 2018 ◽

pp. 1-9 ◽

Cited By ~ 2

Author(s):

A. Corberán-Vallet ◽

F. J. Santonja ◽

M. Jornet-Sanz ◽

R.-J. Villanueva

Keyword(s):

Discrete Time ◽

Compartmental Model ◽

Predictive Distribution ◽

Model Parameters ◽

Immunization Program ◽

Posterior Predictive Distribution ◽

Vaccination Strategies ◽

Proposed Model ◽

Routine Immunization Program ◽

The Impact

We present a Bayesian stochastic susceptible-exposed-infectious-recovered model in discrete time to understand chickenpox transmission in the Valencian Community, Spain. During the last decades, different strategies have been introduced in the routine immunization program in order to reduce the impact of this disease, which remains a public health’s great concern. Under this scenario, a model capable of explaining closely the dynamics of chickenpox under the different vaccination strategies is of utter importance to assess their effectiveness. The proposed model takes into account both heterogeneous mixing of individuals in the population and the inherent stochasticity in the transmission of the disease. As shown in a comparative study, these assumptions are fundamental to describe properly the evolution of the disease. The Bayesian analysis of the model allows us to calculate the posterior distribution of the model parameters and the posterior predictive distribution of chickenpox incidence, which facilitates the computation of point forecasts and prediction intervals.

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Meteorological factors and its association with hand, foot and mouth disease in Southeast and East Asia areas: a meta-analysis

Epidemiology and Infection ◽

10.1017/s0950268818003035 ◽

2018 ◽

Vol 147 ◽

Cited By ~ 6

Author(s):

Chunxiao Duan ◽

Xuefeng Zhang ◽

Hui Jin ◽

Xiaoqing Cheng ◽

Donglei Wang ◽

...

Keyword(s):

East Asia ◽

Meteorological Factors ◽

Global Climate ◽

Meta Analysis ◽

Foot And Mouth Disease ◽

Correlation Coefficients ◽

Mouth Disease ◽

Asia Pacific ◽

China National Knowledge Infrastructure ◽

Foot And Mouth

AbstractSince the late 1990s, hand, foot and mouth disease (HFMD) has become a common health problem that mostly affects children and infants in Southeast and East Asia. Global climate change is considered to be one of the major risk factors for HFMD. This study aimed to assess the correlation between meteorological factors and HFMD in the Asia-Pacific region. PubMed, Web of Science, Embase, China National Knowledge Infrastructure, Wanfang Data and Weipu Database were searched to identify relevant articles published before May 2018. Data were collected and analysed using R software. We searched 2397 articles and identified 51 eligible papers in this study. The present study included eight meteorological factors; mean temperature, mean highest temperature, mean lowest temperature, rainfall, relative humidity and hours of sunshine were positively correlated with HFMD, with correlation coefficients (CORs) of 0.52 (95% confidence interval (CI) 0.42–0.60), 0.43 (95% CI 0.23–0.59), 0.43 (95% CI 0.23–0.60), 0.27 (95% CI 0.19–0.35), 0.19 (95% CI 0.02–0.35) and 0.19 (95% CI 0.11–0.27), respectively. There were sufficient data to support a negative correlation between mean pressure and HFMD (COR = −0.51, 95% CI −0.63 to −0.36). There was no notable correlation with wind speed (COR = 0.10, 95% CI −0.03 to 0.23). Our findings suggest that meteorological factors affect the incidence of HFMD to a certain extent.

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Correlation between disability measure and Black Hole (T1 hypointense lesion) lesion load in brain magnetic resonance imaging of patients with multiple sclerosis: Protocol for a systematic review and meta-analysis

10.21203/rs.3.rs-194103/v5 ◽

2021 ◽

Author(s):

Amir Valizadeh ◽

Elham Barati ◽

Mohammad Ali Sahraian ◽

Mohammad Reza Fattahi ◽

Mana Moassefi

Keyword(s):

Magnetic Resonance Imaging ◽

Multiple Sclerosis ◽

Systematic Review ◽

Web Of Science ◽

Citation Index ◽

Meta Analysis ◽

Brain Magnetic Resonance Imaging ◽

Correlation Coefficients ◽

Resonance Imaging ◽

Lesion Load

Abstract Rationale: As the role of neurodegeneration in the pathophysiology of multiple sclerosis (MS) has become more prominent, the formation and evolution of chronic or persistent T1-hypointense lesions (Black Holes) have been used as markers of axonal loss and neuronal destruction to measure disease activity. However, findings regarding this subject are controversial. In this study we aim to clarify the level of importance of T1 hypointense lesions for estimating the prognosis of patients.Objectives: To evaluate the correlation between T1 hypointensities (Black holes) lesion load (lesion mean volume) on brain MRI with disability level of patients with Relapsing-Remitting Multiple Sclerosis (RRMS) or Secondary-Progressive Multiple Sclerosis (SPMS).Data sources: We will search MEDLINE (through PubMed), Embase, CENTRAL, Science Citation Index – Expanded (Web of Science), and Conference Proceedings Citation Index – Science (Web of Science). We won’t consider any timeframe, language, or geographical restrictions.Methods: Standard systematic review protocol methodology is employed. Eligibility criteria is reported in line with PICOTS system. Population is limited to adult patients diagnosed with RRMS or SPMS, based on the McDonald criteria. Index (prognostic factor) of interest will be T1 hypointense (black hole) lesion mean volume (lesion load) on brain Magnetic Resonance Imaging (MRI). There will be no comparators. Outcome of interest will be the disability measure using Expanded Disability Status Scale (EDSS). For the timing domain, we will include studies only if the outcome was measured at the same time MRI was performed (or with a very close time interval between). Inpatient and outpatient settings will both be included. All included studies will be assessed for the risk of bias using a tailored version of the Quality In Prognosis Studies (QUIPS) tool. Extracted correlation coefficients will be converted to the Fisher’s z scale and a meta-analysis will be performed on the results. We will then convert back the results to correlation coefficients again for the sake of presentation. For the purpose of assessing heterogeneity we will use prediction intervals. If feasible, we will also try to perform subgroup and sensitivity analyses. We will also evaluate the publication bias using Funnel plots and assess the confidence in cumulative evidence using an adapted version of the GRADE for prognostic factor research.

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How is Intelligence Test Performance Associated with Creative Achievement? A Meta-Analysis

10.31234/osf.io/fm7hr ◽

2021 ◽

Author(s):

Maciej Karwowski ◽

Marta Czerwonka ◽

Ewa Wiśniewska ◽

Boris Forthmann

Keyword(s):

Test Performance ◽

Meta Analysis ◽

Correlation Coefficients ◽

Intelligence Test ◽

Future Studies ◽

Creative Achievement ◽

The Arts ◽

Everyday Creativity ◽

Intelligence Test Scores ◽

Intelligence Scores

This paper presents a meta-analysis of the links between intelligence test scores and creative achievement. A three-level meta-analysis of 117 correlation coefficients from 30 studies has found a correlation of r = .16 (95% CI: .12, .19), closely mirroring previous meta-analytic findings. The estimated effects were stronger for overall creative achievement and achievement in scientific domains than for correlations between intelligence scores and creative achievement in the arts and everyday creativity. No signs of publication bias were found. We discuss theoretical implications and provide recommendations for future studies.

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