Replication Data for: USING MONTE CARLO EXPERIMENTS  TO SELECT META-ANALYTIC ESTIMATORS
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset contains all the codes one needs to reproduce the results in the paper 'USING MONTE CARLO EXPERIMENTS TO SELECT META-ANALYTIC ESTIMATORS'. Details are given in the README file. Here are the highlights: To reproduce one of our tables, the user has to run the “Main.R” code. It will generate all 4 simulation results and the simulation results will be exported from R to  a spreadsheet (CombinedResults.csv file under ‘MakingTables’ folder). At the same time, the user can also find each table in the ‘MakingTables’ folder as well. For example, the first time the user wants to generate the results for Table 3, he/she must run ‘  Main.R’ and find ‘Table03.csv’ in the MakingTables folder' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["3PSM","4PSM","Andrews-Kasy","Endogenous Kink","Estimator performance","Experiments","Meta-analysis","Monte Carlo","p-curve","PET-PEESE","Publication bias","p-uniform","Random Effects","Selection models","Simulation design","Trim and Fill","WAAP"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset contains all the codes one needs to reproduce the results in the paper 'USING MONTE CARLO EXPERIMENTS TO SELECT META-ANALYTIC ESTIMATORS'. Details are given in the README file. Here are the highlights: To reproduce one of our tables, the user has to run the “Main.R” code. It will generate all 4 simulation results and the simulation results will be exported from R to  a spreadsheet (CombinedResults.csv file under ‘MakingTables’ folder). At the same time, the user can also find each table in the ‘MakingTables’ folder as well. For example, the first time the user wants to generate the results for Table 3, he/she must run ‘  Main.R’ and find ‘Table03.csv’ in the MakingTables folder' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset contains all the codes one needs to reproduce the results in the paper 'USING MONTE CARLO EXPERIMENTS TO SELECT META-ANALYTIC ESTIMATORS'. Details are given in the README file. Here are the highlights: To reproduce one of our tables, the user has to run the “Main.R” code. It will generate all 4 simulation results and the simulation results will be exported from R to  a spreadsheet (CombinedResults.csv file under ‘MakingTables’ folder). At the same time, the user can also find each table in the ‘MakingTables’ folder as well. For example, the first time the user wants to generate the results for Table 3, he/she must run ‘  Main.R’ and find ‘Table03.csv’ in the MakingTables folder
3PSM; 4PSM; Andrews-Kasy; Endogenous Kink; Estimator performance; Experiments; Meta-analysis; Monte Carlo; p-curve; PET-PEESE; Publication bias; p-uniform; Random Effects; Selection models; Simulation design; Trim and Fill; WAAP