Three data frames, ndmm_ipd, ndmm_agd, and ndmm_agd_covs containing (simulated) individual patient data (IPD) from three studies and aggregate data (AgD) from two studies on newly diagnosed multiple myeloma. The outcome of interest is progression-free survival after autologous stem cell transplant. The IPD studies in ndmm_ipd provide event/censoring times and covariate values for each individual. The AgD studies provide reconstructed event/censoring times from digitized Kaplan-Meier curves in ndmm_agd and covariate summaries in ndmm_agd_covs, obtained from published trial reports. The data are constructed to resemble those used by \insertCite Leahy2019;textualmultinma.
data
Format
The individual patient data are contained in a data frame ndmm_ipd
with 1325 rows, one per individual, and 10 variables:
The covariate summaries extracted from published reportes for the
aggregate studies are contained in a data frame ndmm_agd_covs with 4
rows, one per study arm, and 15 columns:
study, studyf: study name
trt, trtf: treatment name
sample_size: sample size in each arm
age_min, age_iqr_l, age_median, age_iqr_h, age_max, age_mean, age_sd: summary statistics for age (years)
iss_stage3: proportion of participants with ISS stage 3
response_cr_vgpr: proportion of participants with complete or very good partial response