In search of a corrected prescription drug Elasticity estimate: a meta-regression approach

2007 ◽  
Vol 16 (6) ◽  
pp. 627-643 ◽  
Author(s):  
Marin C. Gemmill ◽  
Joan Costa-Font ◽  
Alistair McGuire
Keyword(s):  
Prescription Drug ◽  
Elasticity Estimate ◽  
Regression Approach ◽  
Meta Regression

scholarly journals PCV15 META-REGRESSION APPROACH TO IDENTIFY THE EQUIVALENCE DOSE RATIOS OF ROSUVASTATIN TO SIMVASTATIN AND ATORVASTATIN

2010 ◽  
Vol 13 (7) ◽  
pp. A343
Author(s):  
M Jakubczyk ◽  
P Perkowski ◽  
J Paweska ◽  
T Macioch ◽  
M Niewada ◽  
...  
Keyword(s):  
Regression Approach ◽  
Meta Regression

scholarly journals Accuracy and Precision of Fixed and Random Effects in Meta-Analyses of Randomized Control Trials for Continuous Outcomes

2022 ◽  
Author(s):  
Timo Gnambs ◽  
Ulrich Schroeders
Keyword(s):  
Random Effects ◽  
Ad Hoc ◽  
Variance Estimation ◽  
Effect Sizes ◽  
Randomized Control Trials ◽  
Fixed And Random Effects ◽  
Regression Approach ◽  
Randomized Control ◽  
Meta Regression ◽  
Meta Analyses

Meta-analyses of treatment effects in randomized control trials are often faced with the problem of missing information required to calculate effect sizes and their sampling variances. Particularly, correlations between pre- and posttest scores are frequently not available. As an ad-hoc solution, researchers impute a constant value for the missing correlation. As an alternative, we propose adopting a multivariate meta-regression approach that models independent group effect sizes and accounts for the dependency structure using robust variance estimation or three-level modeling. A comprehensive simulation study mimicking realistic conditions of meta-analyses in clinical and educational psychology suggested that the prevalent imputation approach works well for estimating the pooled effect but severely distorts the between-study heterogeneity. In contrast, the robust meta-regression approach resulted in largely unbiased fixed and random effects. Based on these results recommendations for meta-analytic practice and future meta-analytic developments are provided.

Performance of Bos indicus beef cattle supplemented with mineral or with concentrates in tropical Urochloa decumbens pastures: a meta-regression approach

2021 ◽  
pp. 115178
Author(s):  
Daniel Mageste de Almeida ◽  
Alex Lopes da Silva ◽  
Mário Fonseca Paulino ◽  
Tadeu Eder da Silva ◽  
Edenio Detmann ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Bos Indicus ◽  
Regression Approach ◽  
Urochloa Decumbens ◽  
Meta Regression

The Concentration-Response between Long-Term PM2.5 Exposure and Mortality: A Meta-Regression Approach

2018 ◽  
Vol 2018 (1) ◽  
Author(s):  
Alina Vodonos Zilberg ◽  
Yara Abu Awad ◽  
Joel D. Schwartz
Keyword(s):  
Regression Approach ◽  
Meta Regression ◽  
Pm2.5 Exposure

scholarly journals An unusual meta-regression approach with a high potential of misleading conclusions

2005 ◽  
Vol 27 (9) ◽  
pp. 1124-1124
Author(s):  
M. T. Koller
Keyword(s):  
High Potential ◽  
Regression Approach ◽  
Meta Regression

Adjuvant interferon therapy after curative therapy for hepatocellular carcinoma (HCC): A meta-regression approach

2010 ◽  
Vol 52 (6) ◽  
pp. 889-894 ◽  
Author(s):  
Ying-Chun Shen ◽  
Chiun Hsu ◽  
Li-Tzong Chen ◽  
Chia-Chi Cheng ◽  
Fu-Chang Hu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Interferon Therapy ◽  
Curative Therapy ◽  
Regression Approach ◽  
Meta Regression ◽  
Adjuvant Interferon

scholarly journals The burden of typhoid fever in low- and middle-income countries: A meta-regression approach

2017 ◽  
Vol 11 (2) ◽  
pp. e0005376 ◽  
Author(s):  
Marina Antillón ◽  
Joshua L. Warren ◽  
Forrest W. Crawford ◽  
Daniel M. Weinberger ◽  
Esra Kürüm ◽  
...  
Keyword(s):  
Typhoid Fever ◽  
Middle Income ◽  
Middle Income Countries ◽  
Regression Approach ◽  
Meta Regression ◽  
Low And Middle Income

Accounting for post‐randomization variables in meta‐analysis: A joint meta‐regression approach

Biometrics ◽  
2021 ◽  
Author(s):  
Qinshu Lian ◽  
Jing Zhang ◽  
James S. Hodges ◽  
Yong Chen ◽  
Haitao Chu
Keyword(s):  
Meta Analysis ◽  
Regression Approach ◽  
Meta Regression
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