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README.md

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remotes::install_github("UofUEpiBio/Comprehensive_cohort", ref="cran")
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```
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── R CMD build ─────────────────────────────────────────────────────────────────
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* checking for file ‘/private/var/folders/kc/516dnvf974g17y535_20gss80000gn/T/RtmpeBVO7G/remotes1097750b9573c/UofUEpiBio-Comprehensive_cohort-ffcfab7/DESCRIPTION’ ... OK
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* preparing ‘comprehensivecohort’:
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* checking DESCRIPTION meta-information ... OK
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* checking for LF line-endings in source and make files and shell scripts
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* checking for empty or unneeded directories
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Removed empty directory ‘comprehensivecohort/.devcontainer’
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Removed empty directory ‘comprehensivecohort/data-raw’
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* building ‘comprehensivecohort_0.0.9000.tar.gz’
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Or install from CRAN:
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## Examples
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## Example
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The package includes a simulated dataset based on the TOIB study, a
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comprehensive cohort study aiming to determine whether to advice older

README.qmd

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## Examples
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## Example
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The package includes a simulated dataset based on the TOIB study, a comprehensive cohort study aiming to determine whether to advice older adults with chronic knee pain to apply either topical or oral non-steroidal anti-inflammatory drugs (NSAIDs) for knee pain management. The dataset include 563 observations with outcome $Y$ as Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain score ($0-100$) at 12 months. Some outcome observations might be missing (denoted as NA in $Y$). Column $M$ is a outcome missingness indicator: $1$ if $Y$ is observed, $0$ if $Y$ is missing. Other variables in the dataset include $t$ the treatment indicator ($1$ for topical NSAIDs, $0$ for oral NSAIDs), and $R$ the randomization consent indicator ($1$ for RCT, $0$ for OBS). Rest of the columns are baseline covariates (age, baseline WOMAC pain score, expected pain one year later, chronic pain grade).
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