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Data from a study of 242 patients at the Edmonton Hematopoietic Institute - Alberta Health Services (Espinheira et al., 2026). The response is the CD34+ cell recovery rate (ratio of viable CD34+ cells post-thaw to pre-freeze), a continuous proportion in (0, 1).

Usage

pbsc

Format

A data frame with 242 rows and 3 columns:

recovery

CD34+ recovery rate (response), in (0, 1).

adj_age

Adjusted patient-age variable.

chemo

Chemotherapy protocol indicator: 0 = one-day protocol, 1 = three-day protocol.

Source

Edmonton Hematopoietic Institute - Alberta Health Services. Used under the data-sharing policy of that institution.

Details

The model selected in Espinheira et al. (2026) is: $$\mathrm{logit}(\mu_t) = \beta_1 + \beta_2 x_{t2} + \beta_3 x_{t3}$$ $$\log(\sigma^2_t) = \gamma_1 + \gamma_2 x_{t2} + \gamma_3 x_{t1}$$ where \(x_{t1}\) = chemo and \(x_{t2}\) = \(x_{t3}\) = adj_age.

References

Espinheira P.L., Silva F.C., Barros M., Ospina R. (2026). A Bootstrap-Calibrated Local Influence Goodness-of-Fit Procedure for Simplex Regression Models.

Examples

data(pbsc)
str(pbsc)
#> 'data.frame':	239 obs. of  3 variables:
#>  $ recovery: num  0.75 0.83 0.94 0.86 0.54 0.7 0.59 0.82 0.67 0.57 ...
#>  $ adj_age : num  22 0 3 18 3 11 24 24 8 11 ...
#>  $ chemo   : num  0 1 1 0 0 1 0 0 1 0 ...
hist(pbsc$recovery, breaks = 30, main = "CD34+ Recovery Rate")