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adam/ader.qmd

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@@ -306,7 +306,7 @@ print_df(ader_aseq %>% select(
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))
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```
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### Combine with Covariates
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### Combine with Covariates and Exposure
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We combine our covariates with the rest of the data
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select_dataset("ADEE")
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```
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### Create Base `ADEE` dataset from `ADTTE`
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### Create Base `ADEE` Dataset
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```{r}
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#| label: ADEE Base dataset
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select_dataset("ADES")
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```
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### Create `ADES` base dataset
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### Create Base `ADES` Dataset
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```{r}
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#| label: ADES Base data
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print_df(ades_base %>% select(USUBJID, PARAMCD, PARAM, AEDECOD, AVAL, AVALC, AESTDT), n = 20)
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```
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### Add Analysis Variables and Flags
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### Add Analysis Variables
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```{r}
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#| label: ADES analysis variables
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## ADTRR {#adtrr}
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### Load Specifications for `ADTRR`
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### Load Specifications
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```{r echo=TRUE, message=FALSE}
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#| label: ADTRR Load Specs
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select_dataset("ADTRR")
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```
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### Create `ADTRR` Base Data
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### Create Base `ADTRR` Dataset
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We will derive the tumor size parameter `PARAMCD = "TSIZE"` from `ADTR`. We will add nominal time and actual time using `admiral::derive_var_nfrlt()` and `admiral::derive_vars_duration()`. In traditional Exposure-Response datasets these might be `TIME` and `NTIM` variables.
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print_df(adtrr_seq %>% select(USUBJID, PARAMCD, PARAM, AVISIT, NFRLT, AFRLT, BASE, AVAL, CHG), n = 20)
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```
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### Combine with Covariate and Exposure Data
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### Combine with Covariates and Exposure
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```{r}
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#| label: ADTRR prefinal

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