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ADVS slides (#4)
* Create presentation for "BDS finish example" * Added slides for ADVS * Restore BDS.qmd. Call BDS_ADVS.qmd in .yaml file so slides are added to the overall deck.
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_quarto.yaml

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target: pharmaverse_club-ADSL
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- file: slides/BDS.qmd
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target: pharmaverse_club-BDS
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- file: slides/BDS_ADVS.qmd
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target: pharmaverse_club-BDS
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- file: slides/ADAE.qmd
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- section: "TLG"

bookclub-pharmaexamples.Rproj

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Version: 1.0
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ProjectId: 628ad07c-67b3-49ed-b0ce-ad51105cc8eb
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RestoreWorkspace: No
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slides/BDS_ADVS.qmd

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---
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engine: knitr
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title: "ADVS"
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---
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# What is BDS?
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- **BDS** = Basic Data Structure
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- A flexible ADaM format used for most subject-level analysis datasets
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- Key features:
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- One record per subject, parameter, and timepoint
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- Standardized variables: `PARAMCD`, `AVAL`, `ADY`, `TRTP`, etc.
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- Derived from SDTM + ADSL
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# Structure
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- ADSL variables (Expand ds.)
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- Variables kept from SDTM (Dont update values.)
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- Common BDS variable (Expand ds. Sometimes Imputations.)
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- TRTA/P
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- AVISIT
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- PARAM
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- PARAMCD
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- AVAL/AVALC
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- BASE
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- CHG
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- ADT
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- ADTM
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- ABLFL
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# Observations
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- Observed values: SDTM data not modified.
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- Derived values: Created through calculations of observed values.
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- Imputed values: Observed values that have missing portions. These missing portions are supplemented with additional data.
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# Updating structure
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- A BDS data set can be expanded horizontally with additional derived parameters and vertically with additional analysis variables. 
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# ADVS
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***Vital signs***: parameters related to physiological measurements collected during a clinical trial.
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***Examples of Measurements***:
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- Blood pressure (systolic/diastolic)
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- Heart/pulse rate
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- Body temperature
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- Respiratory rate
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- Height
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- Weight
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- Body mass index (BMI)
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# Mock Table
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+-----------+--------------------+------------+------------+----------+----------+
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| Parameter | | Statistics | Xanomeline | Placebo | P-value |
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| | | | | | |
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| | | | High Dose | | |
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+===========+====================+============+============+==========+==========+
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| Weight | Baseline | | | | |
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+-----------+--------------------+------------+------------+----------+----------+
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| | Week 4 | | | | |
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+-----------+--------------------+------------+------------+----------+----------+
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| | Week 8 | | | | |
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+-----------+--------------------+------------+------------+----------+----------+
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| | Week 12 | | | | |
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+-----------+--------------------+------------+------------+----------+----------+
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| | Week 16 | | | | |
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+-----------+--------------------+------------+------------+----------+----------+
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| | Week 20 | | | | |
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+-----------+--------------------+------------+------------+----------+----------+
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| | Week 24 | | | | |
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+-----------+--------------------+------------+------------+----------+----------+
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| | Week 24 - baseline | | | | |
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+-----------+--------------------+------------+------------+----------+----------+
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N = number of subjects in analysis population, n = number of subjects with non-missing observations, nmiss = number of subjects with missing observations, SD = standard deviation, CI = confidence interval, Q1 = first quartile, Q3 = third quartile, Min = minimum, Max = maximum
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# Hands-On Workshop: BDS – Findings
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We will derive a BDS Findings dataset using `{admiral}`.
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Link: [https://pharmaverse.github.io/admiral/articles/bds_finding.html](https://pharmaverse.github.io/admiral/articles/bds_finding.html)
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Key steps:
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- Read SDTM data
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- Derive `ADT`, `ADY`
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- Assign `PARAMCD`, `PARAM`
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- Derive `AVAL`, `BASE`, `CHG`, etc.
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- Merge with ADSL
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- Add labels and attributes
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Repository: [GitHub Code](https://github.com/pharmaverse/admiral/blob/main/vignettes/bds_finding.Rmd)
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See recording for the Demo.
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# Questions?

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