Searching PubMed for “Meta-analysis” and checking full-text availability…
for “Meta-analysis” · Showing 2,221–2,240 · 3869 ms
Covey Lirio·Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco
Abstract not available
Thompson Paul D, Franklin Barry A·The American journal of medicine
Abstract not available
Lee M L, Morfini M·Haemophilia : the official journal of the World Federation of Hemophilia
Abstract not available
Grana W A·Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
Abstract not available
Delaney B, Moayyedi P, Soo S, +2 more·BMJ (Clinical research ed.)
Abstract not available
Bernsen R M, Tasche M J, Nagelkerke N J·Statistics in medicine
Abstract not available
Blumberg N·The British journal of surgery
Abstract not available
Ghali W A, Hershman W Y·Annals of internal medicine
Abstract not available
Hoes A W, Grobbee D E, Stijnen T, +1 more·Journal of hypertension
Abstract not available
Domanski M J, Friedman L M·The American journal of cardiology
Abstract not available
Lederman R P·MCN. The American journal of maternal child nursing
Abstract not available
Frumkin H·American journal of industrial medicine
Abstract not available
Clark Justin M, Rott Kollin W, Hodges James S, +1 more·Biometrics
Recent work has made important contributions to the development of causally-interpretable meta-analysis. These methods transport treatment effects estimated in a collection of randomized trials to a target population of interest. Ideally, estimates targeted toward a specific population are more interpretable and releva…
Seide Svenja E, Jensen Katrin, Kieser Meinhard·Statistics in medicine
The performance of statistical methods is frequently evaluated by means of simulation studies. In case of network meta-analysis of binary data, however, available data-generating models (DGMs) are restricted to either inclusion of two-armed trials or the fixed-effect model. Based on data-generation in the pairwise case…
Moreno Elías, Vázquez-Polo Francisco-José, Negrín Miguel A·Statistical methods in medical research
The random effect approach for meta-analysis was motivated by a lack of consistent assessment of homogeneity of treatment effect before pooling. The random effect model assumes that the distribution of the treatment effect is fully heterogenous across the experiments. However, other models arising by grouping some of t…
Mawdsley David, Higgins Julian P T, Sutton Alex J, +1 more·Research synthesis methods
In meta-analysis, the random-effects model is often used to account for heterogeneity. The model assumes that heterogeneity has an additive effect on the variance of effect sizes. An alternative model, which assumes multiplicative heterogeneity, has been little used in the medical statistics community, but is widely us…
Hoyer A, Kuss O·Statistics in medicine
In real life and somewhat contrary to biostatistical textbook knowledge, sensitivity and specificity (and not only predictive values) of diagnostic tests can vary with the underlying prevalence of disease. In meta-analysis of diagnostic studies, accounting for this fact naturally leads to a trivariate expansion of the…
Tu Yu-Kang·Medical decision making : an international journal of the Society for Medical Decision Making
In the past decade, a new statistical method-network meta-analysis-has been developed to address limitations in traditional pairwise meta-analysis. Network meta-analysis incorporates all available evidence into a general statistical framework for comparisons of multiple treatments. Bayesian network meta-analysis, as pr…
Takkouche Bahi, Khudyakov Polyna, Costa-Bouzas Julián, +1 more·American journal of epidemiology
Two methods of quantifying heterogeneity between studies in meta-analysis were studied. One method quantified the proportion of the total variance of the effect estimate due to variation between studies (RI), and the other calibrated the variance between studies to the size of the effect itself through a between-study…
Bartoš František, Maier Maximilian, Wagenmakers Eric-Jan·Behavior research methods
Meta-analyses often include multiple dependent effect sizes, yet current methods typically neglect the resulting within-study dependencies or fail to address model uncertainty and publication bias adequately. We extend robust Bayesian meta-analysis (RoBMA) to a multilevel framework, simultaneously handling within-study…