Papers on meta-analysis and not using random effects models? treating within-study reps as independent?
Published Examples
#### Lloyd et al 2015 bird monitoring
#### Burns and Steer 2006 Ibis Dominance rank influences food hoarding in New Zealand Robins Petroica australi
#### Binomial data - treating things as independent trials when they aren't -
paper(s) in behavioral journals on sex ratios!
Advantage 2: They preserve the direct biological meaning of the data (vs. remedial measures)
Murtaughs approach - does it favor just doing significant testing? Does/How does taking the average of a set of subsampales change the interpretation of the data?
Multilevel models favored by quantitative ecologists b/c we are interest in coming up with estimates of precise quantities and their variances at relevant ecological scales, eg individual level vital rates, population trends
Examples
Any examples of remedial measures gone bad - meta analysis throwing away information
Others?
Poisson data, binomial - if you average it you are converting it to normal (or are tempted to)?
2-stage modeling; linear regression then regression on the regression slopes; changes interpretation; also ignores the correlations structure; example for Analysis of Biological Data