Predictors of tyrosine kinase inhibitor adherence trajectories in patients with newly diagnosed chronic myeloid leukemia is a research paper published in Journal of Oncology Pharmacy Practice (2020). On theSindex it has a DataRank of 0. It has been cited 9 times.
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National Institutes of Health
Grant: R37-CA218413
National Institutes of Health
Grant: T32-CA09168
NCI NIH HHS
Grant: T32 CA009168
NCI NIH HHS
Grant: R37 CA218413
National Institutes of Health
Grant: 5R37CA218413-07
Personalized Risk-AdaptIve Surveillance (PRAISE) - Implications of Algorithmic Bias
National Institutes of Health
Grant: 3T32CA009168-27S1
Cancer Epidemiology and Biostatistics Training
FWCI
0.34
Citation Percentile
0.6%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
sj-pdf-1-opp-10.1177_1078155220970616 - Supplemental material for Predictors of tyrosine kinase inhibitor adherence trajectories in patients with newly diagnosed chronic myeloid leukemia
sj-pdf-1-opp-10.1177_1078155220970616 - Supplemental material for Predictors of tyrosine kinase inhibitor adherence trajectories in patients with newly diagnosed chronic myeloid leukemia
Predictors of tyrosine kinase inhibitor adherence trajectories in patients with newly diagnosed chronic myeloid leukemia
Predictors of tyrosine kinase inhibitor adherence trajectories in patients with newly diagnosed chronic myeloid leukemia