bcrp {quint} | R Documentation |
Breast Cancer Recovery Project
Description
Data from a three-arm randomized controlled trial. Women with early-stage
breast cancer were randomly assigned to a nutrition intervention (n
= 85),
an education intervention (n
= 83) or standard care (n
= 84).
They were measured before and after treatment. These data contain the baseline
measurement and the 9-month follow-up.
Usage
bcrp
Format
A data frame with 252 observations on the following 14 variables:
physt1
physical functioning (from SF-36) at baseline.
cesdt1
depression score (CESD) at baseline.
physt3
physical functioning (from SF-36) at 9 months follow-up.
cesdt3
depression score (CESD) at 9 months follow-up.
negsoct1
negative social interaction at baseline.
uncomt1
unmitigated communion at baseline.
disopt1
dispositional optimism at baseline.
comorbid
number of comorbidities (e.g. diabetes, migraines, arthritis, or angina).
age
age at baseline.
wcht1
weight change since diagnosis: yes [1] or no [0].
nationality
Caucasian [1] or not [0].
marital
married [1] or not [0].
trext
treatment extensiveness index: lumpectomy without or with one form of adjuvant therapy (radiation or chemo) [-1.77], lumpectomy with radiation and chemotherapy [0.26], mastectomy without or with lumpectomy, and without or with one form of adjuvant therapy [0.56], mastectomy without or with lumpectomy, and radiation and chemotherapy [2.59].
cond
experimental condition: nutrition [1], education [2] or standard care [3].
Details
IMPORTANT: for questions about these data contact Elise Dusseldorp: elise.dusseldorp@fsw.leidenuniv.nl.
Source
The authors thank M.F. Scheier for making his data available.
References
If you use these data, please refer to: Scheier M.F., Helgeson V.S., Schulz R., et al. (2007). Moderators of interventions designed to enhance physical and psychological functioning among younger women with early-stage breast cancer. Journal of Clinical Oncology, 25, 5710-5714.
An example of a complete analysis on these data using the quint
package is given in:
Dusseldorp, E., Doove, L., & Van Mechelen, I. (2016). Quint:
An R package for the identification of subgroups of clients who differ in
which treatment alternative is best for them. Behavior Research Methods,
48(2), 650-663. DOI 10.3758/s13428-015-0594-z.
An application of quint
to these data is given in:
Dusseldorp E. and Van Mechelen I. (2014). Qualitative interaction trees:
a tool to identify qualitative treatment-subgroup interactions.
Statistics in Medicine, 33(2), 219-237. DOI: 10.1002/sim.5933.