Introduction to Multivariate Meta Analysis

Multivariate meta-analysis showed a significant coefficient for autism spectrum disorder studies, B=0.

The first framework involves calculating standardized indirect effects and direct effects and conducting a multivariate meta-analysis on those effect sizes.

02) were observed following out-of-hours acute cholecystectomy on univariate meta-analysis, but not after the adjusted multivariate meta-analysis.

On multivariate meta-analysis analysis accounting for study-specific variation and use of open procedures, prior surgeries were associated with additional surgeries (RR = 3.

Multivariate meta-analysis was applied to estimate the pooled effects at the overall levels.

To verify this vital concept in hPSCs, we performed a multivariate meta-analysis of major hPSC datasets via the combined analytic powers of percentile normalization, principal component analysis (PCA), t-distributed stochastic neighbor embedding (t-SNE), and SC3 consensus clustering.

Multivariate meta-analysis (MVMA) incorporates outcome correlation and synthesises direct evidence and related outcome estimates within a single analysis.

We used random-effect multivariate meta-analysis to pool results, adjusted for air pollution and temporal trends, and presented risks at the 99th percentile compared to minimum mortality temperature.

Location-specific association was pooled using a multivariate meta-analysis model, and attributable fraction in the current time and mortality risk from CHEs under different climate change scenarios (RCP 2.

Effect sizes were aggregated in multivariate meta-analysis from 33 papers reporting data for over 3000 autistic and non-autistic people.

The efficacy question was reviewed using a cohesive multivariate meta-analysis model incorporating all available common time-point data.

A time-series design with a distributed lag nonlinear model was first employed to estimate the location-specific associations between temperature and YLL rates (YLL/100,000 population), and a multivariate meta-analysis model was used to pool location-specific associations.

Random-effects network meta-analyses were conducted in a frequentist framework using multivariate meta-analysis.

We used the two-stage approach to estimating the nonlinear trend by first fitting a restricted cubic splines model with knots at the 10th, 50th and 90th percentiles for each study and then undertaking a multivariate meta-analysis for the model variables.

Genotype effects were pooled by ethnicity using mixed-effect logistic model for gout and hyperuricemia and multivariate meta-analysis for UA.

This interaction was even more pronounced in the DFS/OS multivariate meta-analysis.

The aim of this systematic review and multivariate meta-analysis was to assess cognitive function in clinical burnout and identify the pattern and severity of cognitive dysfunction across cognitive domains.

We analyzed dropout rates across treatment types using multivariate meta-analysis.

For the adjusted outcomes, results derived from a multivariate meta-analysis were consistent with the respective unadjusted outcomes: functional independence (OR, 0.

In the second stage, a multivariate meta-analysis was conducted to pool these estimates, assess the significance of heterogeneity, and explore potential effect modifiers.

Then we pooled the associations using a multivariate meta-analysis.

Then, a multivariate meta-analysis was utilized to pool the city-specific effect estimates across China.

At first, the distributed lag non-linear models (DLNMs) were used to explore city-specific associations between daily mean temperature and category C ID from 2014 to 2016 in Guangdong and pooled them by applying the multivariate meta-analysis.

We fitted a time-series regression with a distributed lag nonlinear model (DLNM) to derive the health risk of temperature for each city and then pooled them to get the overall cumulative risk by multivariate meta-analysis.

We performed a bivariate and a multivariate meta-analysis to examine the association between the antecedents, attitude, and intention to receive mobile advertisements.

We further stratified the above analysis by pre-pregnancy BMI and GDM, and then a heterogeneity test based on a multivariate meta-analysis was conducted to examine whether the stratum specific estimations agreed with each other.

In the second stage, the multivariate meta-analysis was applied to pool province-specific estimate, and the results showed that the negative associations of temperature, relative humidity, wind speed, and rainfall with PM2.

Objectives Multivariate meta-analysis allows the joint synthesis of multiple outcomes accounting for their correlation.

Second, we used multivariate meta-analysis to pool the city-specific estimates, and stratified analyses were performed by age and sex to identify vulnerable groups.

02) were observed following out-of-hours cholecystectomy on univariate meta-analysis but not on adjusted multivariate meta-analysis.

Drawing on flexible tools from multilevel and multivariate meta-analysis, this paper describes an expanded range of working models, along with accompanying estimation methods, which offer potential benefits in terms of better capturing the types of data structures that occur in practice and, under some circumstances, improving the efficiency of meta-regression estimates.

Multivariate meta-analysis was used to pool the city-specific estimates to explore the overall relative risk in China.

The association between temperature and city-specific CVD mortality was investigated with a distributed lag nonlinear model across lag 0–21 days for cold temperature and lag 0–2 days for hot temperature, and then pooled the association results in a multivariate meta-analysis to derive the pooled estimates of temperature on CVD mortality at national level.

A multivariate Meta-analysis with random effects was applied to estimate dose-response relationship between air pollutants and mortality.

In this report, we performed a multivariate meta-analysis of major hPSC datasets via the combined analytic powers of percentile normalization, principal component analysis (PCA), t-distributed stochastic neighbor embedding (t-SNE), and SC3 consensus clustering.

We introduce an individual patient data multivariate meta-analysis model for RMSTD estimated at multiple time horizons.

Associations between climate factors (rainfall, land surface temperature (LST), and lake water level (LWL)) and monthly malaria cases from 2000 to 2013 in six hospitals (two in lowland and four in highland) were analyzed using time-series regression analysis with a distributed lag nonlinear model (DLNM) and multivariate meta-analysis.

A two-stage multivariate meta-analysis methodology was used to explore associations with temperature and precipitation.

Secondly, a multivariate meta-analysis was applied to pool the estimates of community-specific effects to explore the region-specific temperature threshold and the duration for definition of heat wave.

Multivariate meta-analysis is gaining prominence in evidence synthesis research because it enables simultaneous synthesis of multiple correlated outcome data, and random-effects models have generally been used for addressing between-studies heterogeneities.

We performed a multivariate meta-analysis of microarray data in Crohn's disease (CD) and Ulcerative colitis (UC), which are the main forms of inflammatory bowel disease (IBD).

Then the effects of each city were pooled by multivariate meta-analysis to obtain the heterogeneity among 21 cities.

Univariate meta-analysis revealed a two-fold increased death risk in sarcopenic patients; multivariate meta-analysis yielded a significant, three-fold elevated risk of death.

Both multivariate meta-analysis and three-level meta-analysis have been proposed to handle non-independent effect sizes.

A multivariate meta-analysis with random effects jointly modelled PPD and CAL, factoring in their covariance.

Then we conducted a multivariate meta-analysis to pool the results at the national level.

Secondly, city-specific estimates were pooled at province-level through multivariate meta-analysis.

Effect sizes were calculated whenever possible; we conducted a multivariate meta-analysis to compare outcomes in different language domains.

Pubmed and Scopus were systematically searched and a multivariate meta-analysis of case–control studies was conducted.