Introduction to Meta Regression Analyses
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10.1007/s00402-021-04231-1
Then, subgroup and meta-regression analyses were conducted to disclose the influence of geographic area, fracture type, administration route, frequency and dosage of TXA, blood transfusion threshold, and follow-up duration on the overall effect.
Then, subgroup and meta-regression analyses were conducted to disclose the influence of geographic area, fracture type, administration route, frequency and dosage of TXA, blood transfusion threshold, and follow-up duration on the overall effect.
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10.1016/j.pnpbp.2021.110261
Univariate meta-regression analyses found that sham response was associated with higher risk of blinding bias, and with treatment effect size in the active tDCS group.
Univariate meta-regression analyses found that sham response was associated with higher risk of blinding bias, and with treatment effect size in the active tDCS group.
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10.3390/jcm10102087
Sensitivity and meta-regression analyses were performed.
Sensitivity and meta-regression analyses were performed.
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10.1101/2021.04.08.21255109
Meta-regression analyses partially accounted for the source of heterogeneity, and yet, 53% of the symptoms remained unexplained.
Meta-regression analyses partially accounted for the source of heterogeneity, and yet, 53% of the symptoms remained unexplained.
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10.1016/j.jad.2021.01.084
Additional meta-regression analyses indicated that participant age and clinical status (i.
Additional meta-regression analyses indicated that participant age and clinical status (i.
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10.1007/s40279-021-01428-7
The meta-analysis and meta-regression analyses were fit using a random effects model.
The meta-analysis and meta-regression analyses were fit using a random effects model.
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10.3348/kjr.2021.0244
To explore heterogeneity across the studies, univariable and multivariable meta-regression analyses were performed.
To explore heterogeneity across the studies, univariable and multivariable meta-regression analyses were performed.
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10.22541/au.162464056.65758088/v1
Meta-regression analyses, publication
bias assessment and Trim and Fill function were also performed.
Meta-regression analyses, publication
bias assessment and Trim and Fill function were also performed.
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10.1001/jamadermatol.2020.5756
In meta-regression analyses, the treatment response was associated with patient age (estimated slope, -1.
In meta-regression analyses, the treatment response was associated with patient age (estimated slope, -1.
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10.2139/ssrn.3856527
Sub-group, sensitivity and meta-regression analyses were performed where data permitted.
Sub-group, sensitivity and meta-regression analyses were performed where data permitted.
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10.3390/jcm10214861
On the other hand, meta-regression analyses performed on gender, age, duration of disease, percentage of patients with ANA+ or RF+, medium value of ESR or CRP were not statistically significant.
On the other hand, meta-regression analyses performed on gender, age, duration of disease, percentage of patients with ANA+ or RF+, medium value of ESR or CRP were not statistically significant.
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10.1111/jcpe.13529
After duplicate study selection, data extraction, and risk-of-bias assessment, random effects meta-analyses of mean differences (MDs) and their 95% confidence intervals (CIs) were performed, followed by subgroup/meta-regression analyses.
After duplicate study selection, data extraction, and risk-of-bias assessment, random effects meta-analyses of mean differences (MDs) and their 95% confidence intervals (CIs) were performed, followed by subgroup/meta-regression analyses.
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10.1177/02841851211038806
The pooled sensitivity, specificity, and summary area under the receiver operating characteristic curve (AUC) were calculated and meta-regression analyses were performed.
The pooled sensitivity, specificity, and summary area under the receiver operating characteristic curve (AUC) were calculated and meta-regression analyses were performed.
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10.1016/j.phrs.2020.105329
The meta-regression analyses did not indicate the dose effects of PCs on SBP, DBP, PP and MAP.
The meta-regression analyses did not indicate the dose effects of PCs on SBP, DBP, PP and MAP.
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10.1002/14651858.CD007337.pub4
We performed subgroup, sensitivity, and meta-regression analyses.
We performed subgroup, sensitivity, and meta-regression analyses.
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10.1016/j.jpsychires.2021.04.011
Subgroup and meta-regression analyses were conducted for demographic and clinical variables as appropriate.
Subgroup and meta-regression analyses were conducted for demographic and clinical variables as appropriate.
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10.1016/j.neubiorev.2020.10.026
Conducting meta-regression analyses, however, we found the relationship between ELM and resting vagal activity to significantly vary as a function of both age and presence of psychopathology.
Conducting meta-regression analyses, however, we found the relationship between ELM and resting vagal activity to significantly vary as a function of both age and presence of psychopathology.
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10.3389/fonc.2021.653388
Meta-regression analyses did not show a significant influence of RT nor HT on the DFI at 10 years.
Meta-regression analyses did not show a significant influence of RT nor HT on the DFI at 10 years.
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10.5498/wjp.v11.i4.133
A growing number of meta-analyses supported the application of digital psychotherapeutic intervention across different populations, but relatively few meta- and meta-regression analyses have concentrated on perinatal women.
A growing number of meta-analyses supported the application of digital psychotherapeutic intervention across different populations, but relatively few meta- and meta-regression analyses have concentrated on perinatal women.
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10.1101/2021.01.25.21250439
Sensitivity analyses will be performed as well as a priori subgroup, meta-regression and multiple meta-regression analyses.
Sensitivity analyses will be performed as well as a priori subgroup, meta-regression and multiple meta-regression analyses.
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10.1101/2021.07.29.21261331
Pooled mean differences were calculated using a random-effects model, followed by sensitivity and meta-regression analyses.
Pooled mean differences were calculated using a random-effects model, followed by sensitivity and meta-regression analyses.
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10.1093/humrep/deab124
In subgroup meta-regression analyses, males with definite fertility had continuous declines in SC (slope northern group=-2.
In subgroup meta-regression analyses, males with definite fertility had continuous declines in SC (slope northern group=-2.
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10.1007/s11060-021-03742-6
A meta-regression analyses determined that intralesional-GTR improved PFS (PHR 0.
A meta-regression analyses determined that intralesional-GTR improved PFS (PHR 0.
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10.1093/ijnp/pyab034
Following the meta-analysis of random effects, the meta-regression analyses were used to explore factors potentially influencing treatment efficacy.
Following the meta-analysis of random effects, the meta-regression analyses were used to explore factors potentially influencing treatment efficacy.
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10.1186/s13643-021-01644-2
Meta-regression analyses showed a better hypoglycaemia detection in studies indicating a higher overall accuracy, whereas year of publication did not significantly influence diagnostic accuracy.
Meta-regression analyses showed a better hypoglycaemia detection in studies indicating a higher overall accuracy, whereas year of publication did not significantly influence diagnostic accuracy.
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10.1017/S1368980021000720
Network meta-analysis was performed to determine the effects of coffee and/or tea consumption on reducing BC risk in a dose-dependent manner and differences in coffee/tea type, menopause status, hormone receptor and the BMI in subgroup and meta-regression analyses.
Network meta-analysis was performed to determine the effects of coffee and/or tea consumption on reducing BC risk in a dose-dependent manner and differences in coffee/tea type, menopause status, hormone receptor and the BMI in subgroup and meta-regression analyses.
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10.2166/wh.2021.112
Data were analyzed using random-effects modeling, and subgroup and meta-regression analyses were used to ascertain heterogeneity among the subgroups.
Data were analyzed using random-effects modeling, and subgroup and meta-regression analyses were used to ascertain heterogeneity among the subgroups.
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10.1371/journal.pone.0256845
Meta-regression analyses also showed significant differences in lesion-level prevalence with respect to age (p = 0.
Meta-regression analyses also showed significant differences in lesion-level prevalence with respect to age (p = 0.
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10.11124/JBIES-20-00210
The relationship between each biomarker and WMH burden will be meta-analyzed if possible, with subgroup or meta-regression analyses to assess differences between diseases.
The relationship between each biomarker and WMH burden will be meta-analyzed if possible, with subgroup or meta-regression analyses to assess differences between diseases.
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10.1093/ageing/afab154
Data were synthesised with random-effects meta-analyses and meta-regression analyses, applying Grades of Recommendation, Assessment, Development and Evaluation criteria.
Data were synthesised with random-effects meta-analyses and meta-regression analyses, applying Grades of Recommendation, Assessment, Development and Evaluation criteria.
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10.1002/ejhf.2360
Subgroup analyses were crude univariable meta-regression analyses.
Subgroup analyses were crude univariable meta-regression analyses.
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10.4244/EIJ-D-21-00192
Temporal trends in clinical outcomes (cardiac death, myocardial infarction [MI], target lesion revascularisation [TLR], stent thrombosis [ST]) were assessed using random-effects meta-regression analyses, estimating the relationship between clinical outcomes and study start year.
Temporal trends in clinical outcomes (cardiac death, myocardial infarction [MI], target lesion revascularisation [TLR], stent thrombosis [ST]) were assessed using random-effects meta-regression analyses, estimating the relationship between clinical outcomes and study start year.
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10.1080/01635581.2021.1931365
Sources of heterogeneity were not found through subgroup and meta-regression analyses.
Sources of heterogeneity were not found through subgroup and meta-regression analyses.
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10.3389/fpsyt.2021.610171
For the moderate response rate, meta-regression analyses revealed that publication year (β = −0.
For the moderate response rate, meta-regression analyses revealed that publication year (β = −0.
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10.1016/j.euf.2021.05.005
Meta-regression analyses were performed to explore heterogeneity.
Meta-regression analyses were performed to explore heterogeneity.
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10.21203/RS.3.RS-590600/V1
Following quality assessment of study eligibility, stratified meta-analysis and meta-regression analyses were undertaken to recognize and control the heterogeneity in meta-analysis.
Following quality assessment of study eligibility, stratified meta-analysis and meta-regression analyses were undertaken to recognize and control the heterogeneity in meta-analysis.
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10.1007/s00330-021-08212-1
To explore sources of heterogeneity, meta-regression analyses were performed.
To explore sources of heterogeneity, meta-regression analyses were performed.
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10.3348/kjr.2020.1227
The higher sensitivity and specificity of DBT than DM alone were consistently noted in most subgroup and meta-regression analyses.
The higher sensitivity and specificity of DBT than DM alone were consistently noted in most subgroup and meta-regression analyses.
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10.1186/s13071-021-04611-x
We incorporated the effect size using the random-effects model in the “meta” package in R software and conducted univariate and multivariate meta-regression analyses using a mixed-effects model.
We incorporated the effect size using the random-effects model in the “meta” package in R software and conducted univariate and multivariate meta-regression analyses using a mixed-effects model.
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10.12688/hrbopenres.13355.1
A meta-analysis will be conducted to calculate the pooled effect size of each outcome, and meta-regression analyses will investigate whether intervention features and the presence and absence of individual BCTs in interventions are associated with intervention effectiveness.
A meta-analysis will be conducted to calculate the pooled effect size of each outcome, and meta-regression analyses will investigate whether intervention features and the presence and absence of individual BCTs in interventions are associated with intervention effectiveness.
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10.1111/jgs.17418
The effects of potential moderators were investigated by both subgroup and meta-regression analyses.
The effects of potential moderators were investigated by both subgroup and meta-regression analyses.
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10.1016/j.intimp.2021.108242
Our subgroup and meta-regression analyses indicated that prior exposure to ICIs may reduce the incidence of COVID-19 in metastatic cancer patients.
Our subgroup and meta-regression analyses indicated that prior exposure to ICIs may reduce the incidence of COVID-19 in metastatic cancer patients.
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10.1016/j.cpr.2021.101972
Given significant heterogeneity across studies, we conducted meta-regression analyses with sample characteristics, age, number of treatment sessions, treatment duration, intervention type, control group type, and study design.
Given significant heterogeneity across studies, we conducted meta-regression analyses with sample characteristics, age, number of treatment sessions, treatment duration, intervention type, control group type, and study design.
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10.1016/j.jtct.2021.04.030
In subgroup and meta-regression analyses, areas, NOS, mean fluorescence intensity (MFI) cut off, primary diseases, HSCT types, graft sources, and pre-transplant desensitization did not affect the impact of anti-HLA DSAs on primary graft failure (PGF).
In subgroup and meta-regression analyses, areas, NOS, mean fluorescence intensity (MFI) cut off, primary diseases, HSCT types, graft sources, and pre-transplant desensitization did not affect the impact of anti-HLA DSAs on primary graft failure (PGF).
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10.1007/s13555-021-00613-w
Sources of heterogeneity were explored through subgroup and meta-regression analyses.
Sources of heterogeneity were explored through subgroup and meta-regression analyses.
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10.1186/s12888-021-03244-9
Meta-regression analyses found increasing GM atrophy in the right insula associated with the longer mean abstinence duration of the samples in the studies in our analysis.
Meta-regression analyses found increasing GM atrophy in the right insula associated with the longer mean abstinence duration of the samples in the studies in our analysis.
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10.1016/j.ejrad.2021.109672
Subgroup and meta-regression analyses were performed to assess for heterogeneity.
Subgroup and meta-regression analyses were performed to assess for heterogeneity.
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10.1186/s12889-021-11546-6
Meta-regression analyses were conducted to estimate regression coefficients.
Meta-regression analyses were conducted to estimate regression coefficients.
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10.1111/tbed.14233
Subgroup and meta-regression analyses explored potential sources of heterogeneity in the data.
Subgroup and meta-regression analyses explored potential sources of heterogeneity in the data.
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10.1371/journal.pone.0252511
Subgroup and random effects meta-regression analyses will be used to further investigate the potential sources of heterogeneity.
Subgroup and random effects meta-regression analyses will be used to further investigate the potential sources of heterogeneity.
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10.3390/jpm11070628
Meta-regression analyses were also performed.
Meta-regression analyses were also performed.
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10.1371/journal.pone.0246454
Subgroup and meta-regression analyses were conducted across covariates, including sampling method and outcome measure.
Subgroup and meta-regression analyses were conducted across covariates, including sampling method and outcome measure.
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10.1016/j.envres.2021.111317
In meta-regression analyses of study characteristics, study location (continent) explained some (∼20%) heterogeneity for T1 exposure studies, but no characteristic explained a substantial amount of heterogeneity for T2 exposure studies.
In meta-regression analyses of study characteristics, study location (continent) explained some (∼20%) heterogeneity for T1 exposure studies, but no characteristic explained a substantial amount of heterogeneity for T2 exposure studies.
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10.1016/j.ajo.2021.06.003
The meta-regression analyses showed that the glaucoma-progression assessment methods had had a modulating influence (P=.
The meta-regression analyses showed that the glaucoma-progression assessment methods had had a modulating influence (P=.
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10.1186/s12884-021-03662-3
Furthermore, the source of heterogeneity was checked by subgroup and meta-regression analyses.
Furthermore, the source of heterogeneity was checked by subgroup and meta-regression analyses.
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10.1016/j.ajp.2021.102820
Meta-regression analyses were performed to assess the influence of patients' age, sex, illness duration, antipsychotic dose, positive and negative symptoms on the study SMDs.
Meta-regression analyses were performed to assess the influence of patients' age, sex, illness duration, antipsychotic dose, positive and negative symptoms on the study SMDs.
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10.3390/diagnostics11020237
Meta-regression analyses were performed to explore study heterogeneity.
Meta-regression analyses were performed to explore study heterogeneity.
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10.1097/MD.0000000000024652
Additionally, meta-analysis of variance and meta-regression analyses were performed.
Additionally, meta-analysis of variance and meta-regression analyses were performed.
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10.1186/s12933-021-01276-9
Meta-regression analyses indicated that greater weight reduction in SGLT2i users was significantly associated with the increased risks of amputation (β = − 0.
Meta-regression analyses indicated that greater weight reduction in SGLT2i users was significantly associated with the increased risks of amputation (β = − 0.
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10.1111/acer.14643
RESULTS
Meta-regression analyses indicated a significant and positive effect of drinks per month on alcohol-induced stimulation (β=.
RESULTS
Meta-regression analyses indicated a significant and positive effect of drinks per month on alcohol-induced stimulation (β=.
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10.1016/j.resuscitation.2021.02.002
We undertook random-effects meta-analyses and meta-regression analyses to calculate the pooled effect and the influence of effect modifiers.
We undertook random-effects meta-analyses and meta-regression analyses to calculate the pooled effect and the influence of effect modifiers.
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10.21203/RS.3.RS-281768/V1
Sources of heterogeneity will be explored via meta-regression analyses, if possible.
Sources of heterogeneity will be explored via meta-regression analyses, if possible.
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10.1186/s13063-021-05346-x
Meta-regression analyses showed that increasing age and including a higher proportion of people with hypertension was associated with lower retention rates.
Meta-regression analyses showed that increasing age and including a higher proportion of people with hypertension was associated with lower retention rates.
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10.1007/s00415-021-10582-x
Subgroup and meta-regression analyses were also performed to determine factors influencing heterogeneity affecting the diagnostic performance among the clinical, MRI, and analytic characteristics.
Subgroup and meta-regression analyses were also performed to determine factors influencing heterogeneity affecting the diagnostic performance among the clinical, MRI, and analytic characteristics.
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10.1007/s00392-021-01913-z
Meta-regression analyses show a decreasing benefit on HF events with increasing receptor selectivity of SGLT2i.
Meta-regression analyses show a decreasing benefit on HF events with increasing receptor selectivity of SGLT2i.
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10.1016/j.pnpbp.2021.110402
Random-effects meta-analyses and meta-regression analyses were performed.
Random-effects meta-analyses and meta-regression analyses were performed.
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10.11604/PAMJ-OH.2021.4.17.26672
Leaving-one-out, subgroups and meta-regression analyses showed that study quality and type of BLL testing devices were sources of heterogeneity.
Leaving-one-out, subgroups and meta-regression analyses showed that study quality and type of BLL testing devices were sources of heterogeneity.
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10.1136/gpsych-2020-100247
Subgroup and meta-regression analyses were conducted to explore the associated risk factors and to identify the sources of heterogeneity.
Subgroup and meta-regression analyses were conducted to explore the associated risk factors and to identify the sources of heterogeneity.
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10.5535/arm.21078
Meta-regression analyses were performed to assess the relationship between MSC dose and pooled effect sizes in each cell dose.
Meta-regression analyses were performed to assess the relationship between MSC dose and pooled effect sizes in each cell dose.
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10.1037/pag0000599
We conducted meta-regression analyses on a wide set of dependent measures that control for general slowing, tested for publication bias, and examined four potential methodological moderators.
We conducted meta-regression analyses on a wide set of dependent measures that control for general slowing, tested for publication bias, and examined four potential methodological moderators.
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10.1016/j.breast.2021.07.006
The interrelationships between PFS and OS hazard ratios (HRs) and median survival time differences were investigated by conducting fixed-effects and mixed-effects linear meta-regression analyses.
The interrelationships between PFS and OS hazard ratios (HRs) and median survival time differences were investigated by conducting fixed-effects and mixed-effects linear meta-regression analyses.
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10.1016/j.jaac.2021.07.808
RESULTS
Two-level random effects meta-regression analyses indicated that higher anti-Black cultural racism was associated with lower ESs for studies with majority-Black youth (β = -0.
RESULTS
Two-level random effects meta-regression analyses indicated that higher anti-Black cultural racism was associated with lower ESs for studies with majority-Black youth (β = -0.
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10.1093/ije/dyab168.034
The potential sources of between-study heterogeneity were identified using sensitivity analysis, sub-group and meta-regression analyses.
The potential sources of between-study heterogeneity were identified using sensitivity analysis, sub-group and meta-regression analyses.
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10.4254/wjh.v13.i2.242
Meta-regression analyses showed no significant time trends in OCI rates among different groups.
Meta-regression analyses showed no significant time trends in OCI rates among different groups.
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10.1111/bdi.13122
METHOD
We undertook systematic searches of 4 databases to identify studies for inclusion in random effects meta-analyses and meta-regression analyses.
METHOD
We undertook systematic searches of 4 databases to identify studies for inclusion in random effects meta-analyses and meta-regression analyses.
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10.1111/jsr.13443
Random-effects meta-regression analyses showed that year and quality of publication were covariates on the relationships between pre-pregnant body mass index and sleep apnea risk.
Random-effects meta-regression analyses showed that year and quality of publication were covariates on the relationships between pre-pregnant body mass index and sleep apnea risk.
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10.1007/s00261-021-03297-0
Meta-regression analyses were performed to further explore study heterogeneity.
Meta-regression analyses were performed to further explore study heterogeneity.
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10.1002/jmri.27664
Meta-regression analyses revealed that the most common underlying liver disease (hepatitis B or hepatitis C) was a significant factor contributing to the heterogeneity of sensitivities among studies for both versions.
Meta-regression analyses revealed that the most common underlying liver disease (hepatitis B or hepatitis C) was a significant factor contributing to the heterogeneity of sensitivities among studies for both versions.
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10.3389/fmed.2021.651559
Subgroup analyses and meta-regression analyses will be performed to analyze and explain heterogeneity.
Subgroup analyses and meta-regression analyses will be performed to analyze and explain heterogeneity.
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10.14786/FLR.V9I2.675
, Armonk, NY, USA) to perform and interpret regression and meta-regression analyses of individual- and group-level (aggregated) student data, combined with data on micro- and meso-level factors.
, Armonk, NY, USA) to perform and interpret regression and meta-regression analyses of individual- and group-level (aggregated) student data, combined with data on micro- and meso-level factors.
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10.2991/jegh.k.210527.001
Random-effects model meta-analyses and meta-regression analyses were used to generate summary estimates and explored sources of heterogeneity.
Random-effects model meta-analyses and meta-regression analyses were used to generate summary estimates and explored sources of heterogeneity.
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10.1371/journal.pone.0258144
Meta-regression analyses were performed to check the factors related to heterogeneity of the studies and to check the associations between chronological age and LLP.
Meta-regression analyses were performed to check the factors related to heterogeneity of the studies and to check the associations between chronological age and LLP.
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10.1016/S2468-2667(20)30233-4
We calculated random-effects pooled odds ratios (ORs) for the association of suicide with demographical, clinical, criminological, and institutional risk factors, and investigated heterogeneity using subgroup and meta-regression analyses.
We calculated random-effects pooled odds ratios (ORs) for the association of suicide with demographical, clinical, criminological, and institutional risk factors, and investigated heterogeneity using subgroup and meta-regression analyses.
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10.1111/sdi.13018
Meta-regression analyses showed that CRP baseline level (CRP < 5 mg/L) was the main source of heterogeneity (P =.
Meta-regression analyses showed that CRP baseline level (CRP < 5 mg/L) was the main source of heterogeneity (P =.
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10.3390/life11040362
With the present systematic review, meta-analysis and meta-regression we expand upon previous meta-analyses in four ways: (1) We included 109 studies (96 in adults and 13 in children); (2) we reported subgroup and meta-regression analyses in adults with OSA compared to controls on the serum and plasma levels of hs-CRP; (3) we reported subgroup and meta-regression analyses in adults with OSA compared to controls on the serum and plasma levels of CRP; (4) we reported serum and plasma levels of both hs-CRP and CRP in children with OSA, always compared to controls.
With the present systematic review, meta-analysis and meta-regression we expand upon previous meta-analyses in four ways: (1) We included 109 studies (96 in adults and 13 in children); (2) we reported subgroup and meta-regression analyses in adults with OSA compared to controls on the serum and plasma levels of hs-CRP; (3) we reported subgroup and meta-regression analyses in adults with OSA compared to controls on the serum and plasma levels of CRP; (4) we reported serum and plasma levels of both hs-CRP and CRP in children with OSA, always compared to controls.
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10.1007/s11126-021-09921-y
Meta-regression analyses indicated that publication year (β = −0.
Meta-regression analyses indicated that publication year (β = −0.
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10.2139/SSRN.3800556
Sub-group analyses and meta-regression analyses were performed.
Sub-group analyses and meta-regression analyses were performed.
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10.1371/journal.pone.0250470
When heterogeneity is observed, subgroup analyses and meta-regression analyses will be used to explore sources of heterogeneity.
When heterogeneity is observed, subgroup analyses and meta-regression analyses will be used to explore sources of heterogeneity.
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10.1017/S0033291721000015
The results indicated substantial heterogeneity among studies, but meta-regression analyses found no significant moderation effects for mean age, gender, continent, COVID-19 death rate, days of lockdown, publication status or study design.
The results indicated substantial heterogeneity among studies, but meta-regression analyses found no significant moderation effects for mean age, gender, continent, COVID-19 death rate, days of lockdown, publication status or study design.
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10.3389/fpsyt.2021.659470
Subgroup and meta-regression analyses revealed gender, marital status, survey year, being published in English language, use of the Diagnostic and Statistical Manual of Mental Disorders (DSM) diagnostic systems and age as significant moderators of MDD prevalence.
Subgroup and meta-regression analyses revealed gender, marital status, survey year, being published in English language, use of the Diagnostic and Statistical Manual of Mental Disorders (DSM) diagnostic systems and age as significant moderators of MDD prevalence.
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10.21203/RS.3.RS-207686/V1
Meta-regression analyses and effectiveness ratios to investigate the impact of pre-specified mediators of effect estimates.
Meta-regression analyses and effectiveness ratios to investigate the impact of pre-specified mediators of effect estimates.
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10.3389/fonc.2021.665617
Publication bias assessments, and subgroup, sensitivity, and meta-regression analyses were also performed.
Publication bias assessments, and subgroup, sensitivity, and meta-regression analyses were also performed.
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10.1038/s41598-021-91205-3
Substantial heterogeneity between studies was observed, with meta-regression analyses demonstrating a significant effect of mean age on the association between diurnal preference and depression.
Substantial heterogeneity between studies was observed, with meta-regression analyses demonstrating a significant effect of mean age on the association between diurnal preference and depression.
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10.1002/14651858.CD013021.pub2
Meta-regression analyses found that the sensitivities did not differ between the different tracers used, between studies with a majority of women with FIGO stage 1A versus 1B or above; between studies assessing the pelvic lymph node basin alone versus the pelvic and para-aortic lymph node basin; or between studies that used subserosal alone versus subserosal and cervical injection.
Meta-regression analyses found that the sensitivities did not differ between the different tracers used, between studies with a majority of women with FIGO stage 1A versus 1B or above; between studies assessing the pelvic lymph node basin alone versus the pelvic and para-aortic lymph node basin; or between studies that used subserosal alone versus subserosal and cervical injection.
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10.1186/s12875-021-01445-5
Moderator variables were explored using meta-regression analyses.
Moderator variables were explored using meta-regression analyses.
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10.37871/jbres1269
Meta-regression analyses of studies on MS epidemiology since 1965 revealed an almost universal increase in prevalence and incidence of MS over time; and suggest a general increase in incidence of MS in females.
Meta-regression analyses of studies on MS epidemiology since 1965 revealed an almost universal increase in prevalence and incidence of MS over time; and suggest a general increase in incidence of MS in females.
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