Searching PubMed for “Meta-analysis” and checking full-text availability…
for “Meta-analysis” · Showing 2,921–2,940 · 2220 ms
Mistry Hiten D, Broughton Pipkin Fiona, Kurlak Lesia O·Biological trace element research
Abstract not available
Sergentanis Theodoros N, Economopoulos Konstantinos P·Urology
Abstract not available
Bloch Michael J, Basile Jan N·Journal of clinical hypertension (Greenwich, Conn.)
Abstract not available
Martin-Carrillo Pilar, Añino Almudena, Pinar Oscar, +3 more·Diabetes research and clinical practice
Abstract not available
Halme Panu, Toivanen Tero, Honkanen Merja, +3 more·Conservation biology : the journal of the Society for Conservation Biology
Abstract not available
Ford Alexander C, Talley Nicholas J, Quigley Eamonn M M, +1 more·Diseases of the colon and rectum
Abstract not available
Zhu Yefang, Duijvesz Diederick, Lock Tycho M·Journal of endourology
Abstract not available
Senn Stephen, Costantini Marco, Rizzi Giada·Pediatrics
Abstract not available
Kowey Peter R, Yan Gan-Xin·European heart journal
Abstract not available
Mills Edward, Montori Victor M, Thabane Lehana·The American journal of cardiology
Abstract not available
Brower Roy G, Matthay Michael, Schoenfeld David·American journal of respiratory and critical care medicine
Abstract not available
Pittelli Stephen J·The American journal of psychiatry
Abstract not available
Egger M, Schneider M, Davey Smith G·BMJ (Clinical research ed.)
Abstract not available
Kaufman D W, Shapiro S·BMJ (Clinical research ed.)
Abstract not available
Buyse M·Gan to kagaku ryoho. Cancer & chemotherapy
Abstract not available
Elmakaty Ibrahim, Abdulmajeed Jazeel, Chivese Tawanda, +3 more·Journal of evidence-based medicine
Meta-analysis has become central to evidence-based medicine, yet persistent misconceptions continue to distort how models are selected and interpreted. This paper identifies and clarifies six entrenched misconceptions that have shaped the practice of meta-analysis for decades. It first challenges the belief that the ch…
Held Leonhard, Hofmann Felix, Pawel Samuel·Research synthesis methods
-value functions are modern statistical tools that unify effect estimation and hypothesis testing and can provide alternative point and interval estimates compared to standard meta-analysis methods, using any of the many-value combination procedures available (Xie et al., 2011, JASA). We provide a systematic comparison…
van Zwet Erik, Wiȩcek Witold, Gelman Andrew·Statistical methods in medical research
Effect sizes typically vary among studies of the same intervention. In a random effects meta-analysis, this source of variation is taken into account, at least to some extent. However, when we have only one study, the heterogeneity remains hidden and unaccounted for. Treating the study-level effect as if it is the popu…
Tu Yu-Kang, Lai Pei-Chun, Huang Yen-Ta, +1 more·Research synthesis methods
Network meta-analysis (NMA) incorporates all available evidence into a general statistical framework for comparing multiple treatments. Standard NMAs make three major assumptions, namely homogeneity, similarity, and consistency, and violating these assumptions threatens an NMA's validity. In this article, we suggest a…
Ren Jinma, Ma Jia, Cappelleri Joseph C·Research synthesis methods
A random-effects model is often applied in meta-analysis when considerable heterogeneity among studies is observed due to the differences in patient characteristics, timeframe, treatment regimens, and other study characteristics. Since 2014, the journals Research Synthesis Methods and the Annals of Internal Medicine ha…