Prevalence of Missing Data in the National Cancer Database and Association With Overall Survival

Evaluation of the Use of Cancer Registry Data for Comparative Effectiveness Research

(2020) Abhishek Kumar et al.   JAMA Network Open

Trends in Diagnosis and Disparities in Initial Management of High-Risk Prostate Cancer in the US

(2020) Vishesh Agrawal et al.   JAMA Network Open

What’s Lost in What’s Missing: A Thoughtful Approach to Missing Data in the National Cancer Database

(2019) Daniel J. Boffa   ANNALS OF SURGICAL ONCOLOGY

Lessons Learned Regarding Missing Clinical Stage in the National Cancer Database

(2019) Tanya L. Hoskin et al.   ANNALS OF SURGICAL ONCOLOGY

Real-world data: towards achieving the achievable in cancer care

(2019) Christopher M. Booth et al.   Nature Reviews Clinical Oncology

Essential TNM: a registry tool to reduce gaps in cancer staging information

(2019) Marion Piñeros et al.   LANCET ONCOLOGY

Comparison of Population-Based Observational Studies With Randomized Trials in Oncology

(2019) Payal D. Soni et al.   JOURNAL OF CLINICAL ONCOLOGY

ASO Author Reflections: A Statistical Caution Regarding Missing Clinical Stage in the National Cancer Database

(2019) Tanya L. Hoskin et al.   ANNALS OF SURGICAL ONCOLOGY

Incident Cases Captured in the National Cancer Database Compared with Those in U.S. Population Based Central Cancer Registries in 2012–2014

(2019) Katherine Mallin et al.   ANNALS OF SURGICAL ONCOLOGY

Contemporary national trends in prostate cancer risk profile at diagnosis

(2019) Sean A. Fletcher et al.   PROSTATE CANCER AND PROSTATIC DISEASES

Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records

(2019) Guergana K Savova et al.   CANCER RESEARCH

The Contribution of Cancer Surveillance Toward Real World Evidence in Oncology

(2019) Lynne Penberthy et al.   SEMINARS IN RADIATION ONCOLOGY

A review of statistical and machine learning methods for modeling cancer risk using structured clinical data

(2018) Aaron N. Richter et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Post-Treatment Mortality After Surgery and Stereotactic Body Radiotherapy for Early-Stage Non–Small-Cell Lung Cancer

(2018) William A. Stokes et al.   JOURNAL OF CLINICAL ONCOLOGY

Radiofrequency Ablation Versus Stereotactic Body Radiotherapy for Localized Hepatocellular Carcinoma in Nonsurgically Managed Patients: Analysis of the National Cancer Database

(2018) Devalkumar J. Rajyaguru et al.   JOURNAL OF CLINICAL ONCOLOGY

Practical Guide to Surgical Data Sets: National Cancer Database (NCDB)

(2018) Ryan P. Merkow et al.   JAMA Surgery

Unknown

(2018)   HEALTH SERVICES RESEARCH

Persistence of racial disparities in early stage lung cancer treatment

(2018) Andrea Wolf et al.   JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY

Reducing Bias in Oncology Research: The End of the Radiation Variable in the Surveillance, Epidemiology, and End Results (SEER) Program

(2017) Gary V. Walker et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Finding the Evidence in Real-World Evidence: Moving from Data to Information to Knowledge

(2017) Richard L. Schilsky   JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS

Using the National Cancer Database for Outcomes Research

(2017) Daniel J. Boffa et al.   JAMA Oncology

Overcoming the Challenges of Unstructured Data in Multisite, Electronic Medical Record-based Abstraction

(2016) Brock Polnaszek et al.   MEDICAL CARE

Unknown

(2016)   STATISTICS IN MEDICINE

The rise of multiple imputation: a review of the reporting and implementation of the method in medical research

(2015) Panteha Hayati Rezvan et al.   BMC Medical Research Methodology

Development, implementation, and initial evaluation of a foundational open interoperability standard for oncology treatment planning and summarization

(2015) J. L. Warner et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Treatment complexity: a description of chemotherapy and supportive care treatment visits in patients with advanced-stage cancer diagnoses

(2015) Catherine Sumpio et al.   SUPPORTIVE CARE IN CANCER

Considerations for Observational Research Using Large Data Sets in Radiation Oncology

(2014) Reshma Jagsi et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Muddy Water? Variation in Reporting Receipt of Breast Cancer Radiation Therapy by Population-Based Tumor Registries

(2013) Gary V. Walker et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

A review of the reporting and handling of missing data in cohort studies with repeated assessment of exposure measures

(2012) Amalia Karahalios et al.   BMC Medical Research Methodology

Missing Data

(2012) Iris Eekhout et al.   EPIDEMIOLOGY

Imputation of missing values of tumour stage in population-based cancer registration

(2011) Nora Eisemann et al.   BMC Medical Research Methodology

Underascertainment of radiotherapy receipt in Surveillance, Epidemiology, and End Results registry data

(2011) Reshma Jagsi et al.   CANCER

Unpredictable bias when using the missing indicator method or complete case analysis for missing confounder values: an empirical example

(2010) Mirjam J. Knol et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Trends in Stage Distribution for Patients with Non-small Cell Lung Cancer: A National Cancer Database Survey

(2010) Daniel Morgensztern et al.   Journal of Thoracic Oncology

The National Cancer Data Base: Past, Present, and Future

(2009) David P. Winchester et al.   ANNALS OF SURGICAL ONCOLOGY

The National Cancer Data Base: A Powerful Initiative to Improve Cancer Care in the United States

(2008) Karl Y. Bilimoria et al.   ANNALS OF SURGICAL ONCOLOGY