bcrp: Breast Cancer Recovery Project

In quint: Qualitative Interaction Trees

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: [e-mail].

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.

quint documentation built on July 2, 2022, 1:07 a.m.