Imputing estrogen receptor (ER) status in a population-based cancer registry: a sensitivity analysis

Statistics in Medicine

Volumn 36, Issue 6, 2017, Pages 1014-1028

  Andridge, Rebecca ^a   Noone, Anne Michelle ^b   Howlader, Nadia ^b  

^a OHIO STATE UNIVERSITY   (United States)

^b NATIONAL CANCER INSTITUTE   (United States)

Author keywords

cancer surveillance data; multiple imputation; nonignorable missingness; predictive mean matching

Indexed keywords

ESTROGEN RECEPTOR; TUMOR MARKER;

ADULT; AGE; ARTICLE; BREAST CANCER; CANCER INCIDENCE; CANCER PROGNOSIS; CANCER REGISTRY; CONTROLLED STUDY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; RACE DIFFERENCE; SAMPLE SIZE; SENSITIVITY ANALYSIS; SOCIAL STATUS; BREAST TUMOR; GENETIC MARKER; GENETICS; INFORMATION PROCESSING; PROCEDURES; REGISTER; STANDARDS; STATISTICAL MODEL;

BREAST NEOPLASMS; DATA COLLECTION; FEMALE; GENETIC MARKERS; HUMANS; MODELS, STATISTICAL; RECEPTORS, ESTROGEN; REGISTRIES; SEER PROGRAM;

EID: 85006868135     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.7193     Document Type: Article

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