"Prior distributions for variance parameters in a sparse-event meta-analysis of a few small trials" simulation datasets and code
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https://figshare.com/articles/_Prior_distributions_for_variance_parameters_in_a_sparse-event_meta-analysis_of_a_few_small_trials_simulation_datasets_and_code/9165245
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The data were derived through simulation based on the article "Prior distributions for variance parameters in a sparse-event meta-analysis of a few small trials" . The following variables are included in the dataset. The first are parameters that control the simulation "pControl" "samples" "truetheta" "nsim" "truetau2" "nstud" "prior" "priorlogOR" "Likelihood" <br><br>The following are measures that are presented within the manuscript "logOR" "sdlogOR" "logOR025" "logOR500" "logOR975" "FlogOR" "sdFlogOR" "FlogOR025" "FlogOR500" "FlogOR975" "tau2" "sdtau2" "tau2025" "tau2500" "tau2975" <br><br>The last variables are auxiliary variables that were used for clarifications and describe the number of zero arms, double zero arms in the individual trials and in the meta-analysis.<br>"Zeroarms" "DoubleZeroArms" "ZeroArmsMA" "DZArmsMA"<br>Datafile Resulstau01.rdata contains the initial results with the model mentioned in the discussion applied. See upcoming article.<br>Datafile Resultstau_REV.rdata contains the revised simulation with the model 1 applied. See upcoming article.<br><br>The file Priors.R contains the main routine to estimate the parameters of the simulation.<br>
提供机构：
figshare
创建时间：
2019-07-30
