Measuring the statistical validity of summary meta-analysis and meta-regression results for use in clinical practice

Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction model

(2016) Kym I.E. Snell et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Random effects meta-analysis: Coverage performance of 95%confidence and prediction intervals following REML estimation

(2016) Christopher Partlett et al.   STATISTICS IN MEDICINE

Plea for routinely presenting prediction intervals in meta-analysis

(2016) Joanna IntHout et al.   BMJ Open

What is the test's accuracy in my practice population? Tailored meta-analysis provides a plausible estimate

(2015) Brian H. Willis et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Summarising and validating test accuracy results across multiple studies for use in clinical practice

(2015) Richard D. Riley et al.   STATISTICS IN MEDICINE

Misunderstandings aboutQand ‘Cochran'sQtest' in meta-analysis

(2015) David C. Hoaglin   STATISTICS IN MEDICINE

Conducting Meta-Analyses inRwith themetaforPackage

(2015) Wolfgang Viechtbauer   Journal of Statistical Software

Estimating a test's accuracy using tailored meta-analysis—How setting-specific data may aid study selection

(2014) Brian H. Willis et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

A framework for developing, implementing, and evaluating clinical prediction models in an individual participant data meta-analysis

(2013) Thomas P.A. Debray et al.   STATISTICS IN MEDICINE

Computing the distribution of quadratic forms: Further comparisons between the Liu–Tang–Zhang approximation and exact methods

(2009) Pierre Duchesne et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Undue reliance on I 2 in assessing heterogeneity may mislead

(2008) Gerta Rücker et al.   BMC Medical Research Methodology

The exact distribution of Cochran's heterogeneity statistic in one-way random effects meta-analysis

(2008) Brad J. Biggerstaff et al.   STATISTICS IN MEDICINE