Journal of Clinical Epidemiology
ISSN: 0895-4356
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Datasets associated with articles published in Journal of Clinical Epidemiology
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  • This is a SPSS file with the data we collected from the authors of 116 RCTs. There is detailed documentation in the 'Variables View' sheet
    Data Types:
    • Software/Code
    • Dataset
  • Data and do file
    Data Types:
    • Software/Code
    • Dataset
  • Data from four (published) web-based intervention trials used here to test methodological hypotheses
    Data Types:
    • Software/Code
    • Dataset
  • The following files simulate the data and run all models. Each do file takes arguments "nobs" and "effsize" to define the number of observations and effectsize - neg_contout_datsim (continuous outcome with no paternal effect) - neg_contout_datsim2 (continuous outcome with paternal effect) - neg_contr_datsim.do (binary outcome) Each of these uses "progs.do" to run the bootstrapping of the confidence interval of the difference in maternal and paternal effect estimates The separate datasets for each sample size and effect size are compiled into a single dataset using "compile_results.do". Statistics across simulations are calculated using the following files: - sim_cont_ready.do (continuous outcome with no paternal effect) - sim_cont_ready2.do (continuous outcome with paternal effect) - sim_bin_ready.do (binary outcome) The final datasets are included as the following .csv files: - neg_cont_simout (bias and other statistics for continuous outcome) - neg_cont_difs (mean and bootstrapped 95% CI of difference in estimates for continuous outcome) - neg_cont_simout (bias and other statistics for continuous outcome with paternal effect) - neg_cont_difs (mean and bootstrapped 95% CI of difference in estimates for continuous outcome with paternal effect) - neg_bin_simout (mean and bootstrapped 95% CI of difference in estimates for binary outcome) - neg_bin_difs (mean and bootstrapped 95% CI of difference in estimates for binary outcome)
    Data Types:
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    • Tabular Data
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  • 1. Complete research dataset 2. List with excluded conference abstracts 3. List with excluded full text articles
    Data Types:
    • Tabular Data
    • Dataset
  • The file final_data_27_04_2019.csv contains the final dataset used for all analyses in the paper "Overall bias and sample sizes were unchanged in ICU trials over time: a meta-epidemiological study" by Carl Thomas Anthon, Anders Granholm, Anders Perner, Jon Henrik Laake and Morten Hylander Møller. The file is provided as a comma-seperated values (csv) file. A data dictionary is provided in the electronic supplementary material (ESM) for the said publication. The file final_code.nb.html contains the final, annotated analysis code for the paper "Overall bias and sample sizes were unchanged in ICU trials over time: a meta-epidemiological study" by Carl Thomas Anthon, Anders Granholm, Anders Perner, Jon Henrik Laake and Morten Hylander Møller. The code is written in R and is provided as a Rmarkdown-notebook HTML-file. This file can be opened in a web browser and will display the annotated analysis code and the results, or in RStudio (www.rstudio.com), where it can be run and edited (https://bookdown.org/yihui/rmarkdown/notebook.html).
    Data Types:
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    • Tabular Data
    • Dataset
  • Data Types:
    • Other
    • Dataset
  • Scripts of the simulations run to generate the data used in the manuscript.
    Data Types:
    • Software/Code
    • Dataset
  • The uploaded files are: 1) Excel file containing 6 sheets in respective Order: "Data Extraction" (summarized final data extractions from the three reviewers involved), "Comparison Data" (data related to the comparisons investigated), "Paper level data" (summaries at paper level), "Outcome Event Data" (information with respect to number of events for every outcome investigated within a paper), "Tuning Classification" (data related to the manner of hyperparameter tuning of Machine Learning Algorithms). 2) R script used for the Analysis (In order to read the data, please: Save "Comparison Data", "Paper level data", "Outcome Event Data" Excel sheets as txt files. In the R script srpap: Refers to the "Paper level data" sheet, srevents: Refers to the "Outcome Event Data" sheet and srcompx: Refers to " Comparison data Sheet". 3) Supplementary Material: Including Search String, Tables of data, Figures 4) PRISMA checklist items
    Data Types:
    • Software/Code
    • Tabular Data
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    • Document
  • Raw data set of a study in which we analyzed whether high-impact anesthesiology journals indicate their willingness to share raw data.
    Data Types:
    • Tabular Data
    • Dataset
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