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Connection

Edward Ip to Breast Neoplasms

This is a "connection" page, showing publications Edward Ip has written about Breast Neoplasms.
Connection Strength

1.818
  1. Ip EH, Levine BJ, Avis NE. A non-compensatory analysis of quality of life in breast cancer survivors using multivariate hidden Markov modeling. Qual Life Res. 2021 Feb; 30(2):395-405.
    View in: PubMed
    Score: 0.457
  2. Henry TR, Marshall SA, Avis NE, Levine BJ, Ip EH. Concordance networks and application to clustering cancer symptomology. PLoS One. 2018; 13(3):e0191981.
    View in: PubMed
    Score: 0.383
  3. Avis NE, Levine B, Marshall SA, Ip EH. Longitudinal Examination of Symptom Profiles Among Breast Cancer Survivors. J Pain Symptom Manage. 2017 04; 53(4):703-710.
    View in: PubMed
    Score: 0.352
  4. Marshall SA, Yang CC, Ping Q, Zhao M, Avis NE, Ip EH. Symptom clusters in women with breast cancer: an analysis of data from social media and a research study. Qual Life Res. 2016 Mar; 25(3):547-57.
    View in: PubMed
    Score: 0.324
  5. Goyal NG, Ip EH, Salsman JM, Avis NE. Spirituality and physical health status: a longitudinal examination of reciprocal effects in breast cancer survivors. Support Care Cancer. 2019 Jun; 27(6):2229-2235.
    View in: PubMed
    Score: 0.100
  6. Paek MS, Ip EH, Levine B, Avis NE. Longitudinal Reciprocal Relationships Between Quality of Life and Coping Strategies Among Women with Breast Cancer. Ann Behav Med. 2016 10; 50(5):775-783.
    View in: PubMed
    Score: 0.087
  7. Danhauer SC, Case LD, Tedeschi R, Russell G, Vishnevsky T, Triplett K, Ip EH, Avis NE. Predictors of posttraumatic growth in women with breast cancer. Psychooncology. 2013 Dec; 22(12):2676-83.
    View in: PubMed
    Score: 0.071
  8. Avis NE, Ip E, Foley KL. Evaluation of the Quality of Life in Adult Cancer Survivors (QLACS) scale for long-term cancer survivors in a sample of breast cancer survivors. Health Qual Life Outcomes. 2006 Dec 01; 4:92.
    View in: PubMed
    Score: 0.044
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.