Simulation Comparison of the Quality Effects and Random Effects Methods of Meta-analysis.

This is an editorial note/letter on Simulation Comparison of the Quality Effects and Random Effects Methods of Metaanalysis.

[1]  S. Greenland,et al.  Estimating Bias From Loss to Follow-up in the Danish National Birth Cohort , 2011, Epidemiology.

[2]  Anne Johanne Søgaard,et al.  Response rates and selection problems, with emphasis on mental health variables and DNA sampling, in large population-based, cross-sectional and longitudinal studies of adolescents in Norway , 2010, BMC public health.

[3]  S Greenland,et al.  Random-effects meta-analyses are not always conservative. , 1999, American journal of epidemiology.

[4]  M. Marmot,et al.  Non-response to baseline, non-response to follow-up and mortality in the Whitehall II cohort. , 2009, International journal of epidemiology.

[5]  Jonathan J Shuster,et al.  Empirical vs natural weighting in random effects meta‐analysis , 2009, Statistics in medicine.

[6]  Loss to follow up did not bias associations between early life factors and adult depression. , 2008, Journal of clinical epidemiology.

[7]  I. White,et al.  Assessing the Representativeness of Population-Sampled Health Surveys Through Linkage to Administrative Data on Alcohol-Related Outcomes , 2014, American journal of epidemiology.

[8]  Suhail A R Doi,et al.  A Quality-Effects Model for Meta-Analysis , 2008, Epidemiology.

[9]  Hisashi Noma,et al.  Confidence intervals for a random‐effects meta‐analysis based on Bartlett‐type corrections , 2011, Statistics in medicine.

[10]  L. Thalib,et al.  An alternative quality adjustor for the quality effects model for meta-analysis. , 2009, Epidemiology.

[11]  R. Overton,et al.  A comparison of fixed-effects and mixed (random-effects) models for meta-analysis tests of moderator , 1998 .

[12]  Sarah E. Brockwell,et al.  A comparison of statistical methods for meta‐analysis , 2001, Statistics in medicine.

[13]  K. Lamberts,et al.  Selective drop-out in longitudinal studies and non-biased prediction of behaviour disorders , 2009, The British journal of psychiatry : the journal of mental science.

[14]  Kate Tilling,et al.  Loss to Follow-up in Cohort Studies: Bias in Estimates of Socioeconomic Inequalities , 2013, Epidemiology.

[15]  S. Tin Tin,et al.  Estimating bias from loss to follow-up in a prospective cohort study of bicycle crash injuries , 2013, Injury Prevention.

[16]  Patrick Royston,et al.  The design of simulation studies in medical statistics , 2006, Statistics in medicine.