Ashley S. Felix
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Ashley S. Felix has a total of 178 co-authors. Here are the top co-authors by number of shared publications:
- Caitlin E. Meade
Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, North Carolina
16 shared publications - Allison M. Quick
The Ohio State University Comprehensive Cancer Center 3 Department of Radiation Oncology James Cancer Hospital and Solove Research Institute, Columbus, Ohio
14 shared publications - Jennifer Anne Sinnott
The Ohio State University 5 Department of Statistics, College of Arts and Sciences Columbus, Ohio
14 shared publications - Tasleem Juana Padamsee
The Ohio State University 4 Division of Health Services Management and Policy, College of Public Health Columbus, Ohio
14 shared publications - Simran Ajay Kanal
Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, North Carolina
13 shared publications - Kemi M. Doll
Department of Obstetrics and Gynecology, School of Medicine, University of Washington, Seattle, WA, United States of America
8 shared publications
Latest Publications
- Open Access
- 2 November 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S1 from Measurement of Treatment Adequacy Influences Estimates of Racial Disparities in Endometrial Cancer Care
American Community Survey (ACS) datasets used to derive area-level socioeconomic variables by data source and diagnosis year
- 2 November 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S1 from Measurement of Treatment Adequacy Influences Estimates of Racial Disparities in Endometrial Cancer Care
American Community Survey (ACS) datasets used to derive area-level socioeconomic variables by data source and diagnosis year
- Open Access
- 2 November 2026
- Published by American Association for Cancer Research (AACR)
Data from Measurement of Treatment Adequacy Influences Estimates of Racial Disparities in Endometrial Cancer Care
Background:Guideline-concordant treatment (GCT) is a key indicator of cancer care quality, yet most studies rely on cancer registry data, which incompletely capture treatment adequacy and vary in population composition. As a result, estimates of racial and ethnic disparities in GCT may differ depending on treatment measurement and populations represented in the data. Methods:We conducted analyses using Surveillance, Epidemiology, and End Results (SEER) 17, the National Cancer Database (NCDB), and SEER–Medicare to evaluate how treatment measurement and population composition influence disparities in guideline-concordant endometrial cancer treatment. GCT was defined according to National Comprehensive Cancer Network recommendations. Primary analyses used adequacy-based definitions incorporating treatment receipt, timing, amount, and duration, when available, whereas sensitivity analyses used receipt-based definitions based only on documented receipt. Logistic regression estimated odds ratios (OR) and 95% confidence intervals (CI) for associations between race/ethnicity and GCT within each data source. Additional sensitivity analyses evaluated influences of differences in underlying study populations. Results:Using adequacy-based definitions of GCT, Black patients had lower GCT odds than White patients (SEER OR = 0.84; 95% CI, 0.79–0.90; NCDB OR = 0.75; 95% CI, 0.73–0.77; SEER–Medicare OR = 0.73; 95% CI, 0.62–0.85). Within both NCDB and SEER–Medicare, adequacy-based definitions of GCT yielded larger racial and ethnic disparities than receipt-based definitions. Conclusions:The estimated magnitude of racial disparities in guideline-concordant endometrial cancer treatment is sensitive to treatment measurement and patient selection; sources capturing treatment adequacy show larger disparities. Impact:Measuring treatment adequacy provides a more comprehensive assessment of inequities in endometrial cancer care and may improve cancer disparity research, quality measurement, and policy.
- 2 November 2026
- Published by American Association for Cancer Research (AACR)
Open AccessData from Measurement of Treatment Adequacy Influences Estimates of Racial Disparities in Endometrial Cancer Care
Background:Guideline-concordant treatment (GCT) is a key indicator of cancer care quality, yet most studies rely on cancer registry data, which incompletely capture treatment adequacy and vary in population composition. As a result, estimates of racial and ethnic disparities in GCT may differ depending on treatment measurement and populations represented in the data. Methods:We conducted analyses using Surveillance, Epidemiology, and End Results (SEER) 17, the National Cancer Database (NCDB), and SEER–Medicare to evaluate how treatment measurement and population composition influence disparities in guideline-concordant endometrial cancer treatment. GCT was defined according to National Comprehensive Cancer Network recommendations. Primary analyses used adequacy-based definitions incorporating treatment receipt, timing, amount, and duration, when available, whereas sensitivity analyses used receipt-based definitions based only on documented receipt. Logistic regression estimated odds ratios (OR) and 95% confidence intervals (CI) for associations between race/ethnicity and GCT within each data source. Additional sensitivity analyses evaluated influences of differences in underlying study populations. Results:Using adequacy-based definitions of GCT, Black patients had lower GCT odds than White patients (SEER OR = 0.84; 95% CI, 0.79–0.90; NCDB OR = 0.75; 95% CI, 0.73–0.77; SEER–Medicare OR = 0.73; 95% CI, 0.62–0.85). Within both NCDB and SEER–Medicare, adequacy-based definitions of GCT yielded larger racial and ethnic disparities than receipt-based definitions. Conclusions:The estimated magnitude of racial disparities in guideline-concordant endometrial cancer treatment is sensitive to treatment measurement and patient selection; sources capturing treatment adequacy show larger disparities. Impact:Measuring treatment adequacy provides a more comprehensive assessment of inequities in endometrial cancer care and may improve cancer disparity research, quality measurement, and policy.
- Open Access
- 2 November 2026
- Published by American Association for Cancer Research (AACR)
Supplementary material & methods from Measurement of Treatment Adequacy Influences Estimates of Racial Disparities in Endometrial Cancer Care
These supplementary methods describe the operational definitions used to classify guideline-concordant endometrial cancer treatment in the NCDB and SEER-Medicare datasets.
- 2 November 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary material & methods from Measurement of Treatment Adequacy Influences Estimates of Racial Disparities in Endometrial Cancer Care
These supplementary methods describe the operational definitions used to classify guideline-concordant endometrial cancer treatment in the NCDB and SEER-Medicare datasets.
- Open Access
- 2 November 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S2 from Measurement of Treatment Adequacy Influences Estimates of Racial Disparities in Endometrial Cancer Care
Codes used to identify treatments in SEER, NCDB, and Medicare claims
- 2 November 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S2 from Measurement of Treatment Adequacy Influences Estimates of Racial Disparities in Endometrial Cancer Care
Codes used to identify treatments in SEER, NCDB, and Medicare claims
- Open Access
- 2 November 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S3 from Measurement of Treatment Adequacy Influences Estimates of Racial Disparities in Endometrial Cancer Care
Odds ratios (ORs) and 95% confidence intervals (CIs) for associations between all model covariates and guideline-concordant treatment stratified by data source
- 2 November 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S3 from Measurement of Treatment Adequacy Influences Estimates of Racial Disparities in Endometrial Cancer Care
Odds ratios (ORs) and 95% confidence intervals (CIs) for associations between all model covariates and guideline-concordant treatment stratified by data source
- Open Access
- 2 November 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S4 from Measurement of Treatment Adequacy Influences Estimates of Racial Disparities in Endometrial Cancer Care
Multivariate-adjusted odds ratios and 95% confidence intervals for association between race and guideline-concordant treatment receipt stratified by SES characteristics
- 2 November 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S4 from Measurement of Treatment Adequacy Influences Estimates of Racial Disparities in Endometrial Cancer Care
Multivariate-adjusted odds ratios and 95% confidence intervals for association between race and guideline-concordant treatment receipt stratified by SES characteristics
- 9 September 2026
- Published by American Association for Cancer Research (AACR) in Cancer Epidemiology, Biomarkers & Prevention
- Vol. 35 (11) , 1837-1846
Measurement of Treatment Adequacy Influences Estimates of Racial Disparities in Endometrial Cancer Care
Background: Guideline-concordant treatment (GCT) is a key indicator of cancer care quality, yet most studies rely on cancer registry data, which incompletely capture treatment adequacy and vary in population composition. As a result, estimates of racial and ethnic disparities in GCT may differ depending on treatment measurement and populations represented in the data. Methods: We conducted analyses using Surveillance, Epidemiology, and End Results (SEER) 17, the National Cancer Database (NCDB), and SEER–Medicare to evaluate how treatment measurement and population composition influence disparities in guideline-concordant endometrial cancer treatment. GCT was defined according to National Comprehensive Cancer Network recommendations. Primary analyses used adequacy-based definitions incorporating treatment receipt, timing, amount, and duration, when available, whereas sensitivity analyses used receipt-based definitions based only on documented receipt. Logistic regression estimated odds ratios (OR) and 95% confidence intervals (CI) for associations between race/ethnicity and GCT within each data source. Additional sensitivity analyses evaluated influences of differences in underlying study populations. Results: Using adequacy-based definitions of GCT, Black patients had lower GCT odds than White patients (SEER OR = 0.84; 95% CI, 0.79–0.90; NCDB OR = 0.75; 95% CI, 0.73–0.77; SEER–Medicare OR = 0.73; 95% CI, 0.62–0.85). Within both NCDB and SEER–Medicare, adequacy-based definitions of GCT yielded larger racial and ethnic disparities than receipt-based definitions. Conclusions: The estimated magnitude of racial disparities in guideline-concordant endometrial cancer treatment is sensitive to treatment measurement and patient selection; sources capturing treatment adequacy show larger disparities. Impact: Measuring treatment adequacy provides a more comprehensive assessment of inequities in endometrial cancer care and may improve cancer disparity research, quality measurement, and policy.
- 9 September 2026
- Published by American Association for Cancer Research (AACR) in Cancer Epidemiology, Biomarkers & Prevention
- Vol. 35 (11) , 1837-1846
Measurement of Treatment Adequacy Influences Estimates of Racial Disparities in Endometrial Cancer Care
Background: Guideline-concordant treatment (GCT) is a key indicator of cancer care quality, yet most studies rely on cancer registry data, which incompletely capture treatment adequacy and vary in population composition. As a result, estimates of racial and ethnic disparities in GCT may differ depending on treatment measurement and populations represented in the data. Methods: We conducted analyses using Surveillance, Epidemiology, and End Results (SEER) 17, the National Cancer Database (NCDB), and SEER–Medicare to evaluate how treatment measurement and population composition influence disparities in guideline-concordant endometrial cancer treatment. GCT was defined according to National Comprehensive Cancer Network recommendations. Primary analyses used adequacy-based definitions incorporating treatment receipt, timing, amount, and duration, when available, whereas sensitivity analyses used receipt-based definitions based only on documented receipt. Logistic regression estimated odds ratios (OR) and 95% confidence intervals (CI) for associations between race/ethnicity and GCT within each data source. Additional sensitivity analyses evaluated influences of differences in underlying study populations. Results: Using adequacy-based definitions of GCT, Black patients had lower GCT odds than White patients (SEER OR = 0.84; 95% CI, 0.79–0.90; NCDB OR = 0.75; 95% CI, 0.73–0.77; SEER–Medicare OR = 0.73; 95% CI, 0.62–0.85). Within both NCDB and SEER–Medicare, adequacy-based definitions of GCT yielded larger racial and ethnic disparities than receipt-based definitions. Conclusions: The estimated magnitude of racial disparities in guideline-concordant endometrial cancer treatment is sensitive to treatment measurement and patient selection; sources capturing treatment adequacy show larger disparities. Impact: Measuring treatment adequacy provides a more comprehensive assessment of inequities in endometrial cancer care and may improve cancer disparity research, quality measurement, and policy.
- Open Access
- 3 June 2026
- Published by Elsevier in Cancer Epidemiology
- Vol. 103, 103128
Temporal trends in cancer-specific and other-cause mortality disparities in uterine cancer
- 3 June 2026
- Published by Elsevier in Cancer Epidemiology
- Vol. 103, 103128
Open AccessTemporal trends in cancer-specific and other-cause mortality disparities in uterine cancer
- Open Access
- 1 April 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S1 from Agreement between Surveillance, Epidemiology, and End Results– and Medicare Claims–Derived Uterine Cancer Treatment Data
Codes used to identify treatments in SEER and Medicare claims
- 1 April 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S1 from Agreement between Surveillance, Epidemiology, and End Results– and Medicare Claims–Derived Uterine Cancer Treatment Data
Codes used to identify treatments in SEER and Medicare claims
- Open Access
- 1 April 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S1 from Agreement between Surveillance, Epidemiology, and End Results– and Medicare Claims–Derived Uterine Cancer Treatment Data
Yearly prevalence of A.) hysterectomy with or without BSO, B.) hysterectomy with BSO, C.) lymphadenectomy, D.) EBRT, E.) VBT, and F.) Chemotherapy by data source
- 1 April 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S1 from Agreement between Surveillance, Epidemiology, and End Results– and Medicare Claims–Derived Uterine Cancer Treatment Data
Yearly prevalence of A.) hysterectomy with or without BSO, B.) hysterectomy with BSO, C.) lymphadenectomy, D.) EBRT, E.) VBT, and F.) Chemotherapy by data source