Rachel L Marro
Biographic Data
| ID | 6082787 |
|---|---|
| NAME | Rachel L Marro |
| GIVEN NAMES | Rachel L |
| FAMILY NAME | Marro |
| SIGNATURE | MARRO R L |
| AFFILIATIONS | Joseph R. Cimpian is with the Department of Applied Statistics, Social Science, and Humanities, New York University, New York, NY. Jennifer D. Timmer is with the Department of Educational Psychology, University of Illinois at Urbana-Champaign, Champaign. Michelle A. Birkett, Rachel L. Marro, Blair C. Turner, and Gregory L. Phillips II are with the Department of Medical Social Sciences, Northwestern University, Chicago, IL |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 10 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 1 |
Bias From Potentially Mischievous Responders on Large-Scale Estimates of Lesbian, Gay, Bisexual, or Questioning (LGBQ)–Heterosexual Youth Health Disparities
Objectives. To determine how sensitive estimates of lesbian, gay, bisexual, or questioning (LGBQ)–heterosexual youth health disparities are to the presence of potentially mischievous responders. Methods. We used US data from the 2015 Youth Risk Behavior Survey, pooled across jurisdictions that included a question about sexual identity for a total sample of 148 960 students. We used boosted regressions (a machine-learning technique) to identify un…
Bias From Potentially Mischievous Responders on Large-Scale Estimates of Lesbian, Gay, Bisexual, or Questioning (LGBQ)–Heterosexual Youth Health Disparities
Objectives. To determine how sensitive estimates of lesbian, gay, bisexual, or questioning (LGBQ)–heterosexual youth health disparities are to the presence of potentially mischievous responders. Methods. We used US data from the 2015 Youth Risk Behavior Survey, pooled across jurisdictions that included a question about sexual identity for a total sample of 148 960 students. We used boosted regressions (a machine-learning technique) to identify un…
Bias From Potentially Mischievous Responders on Large-Scale Estimates of Lesbian, Gay, Bisexual, or Questioning (LGBQ)–Heterosexual Youth Health Disparities
Objectives. To determine how sensitive estimates of lesbian, gay, bisexual, or questioning (LGBQ)–heterosexual youth health disparities are to the presence of potentially mischievous responders. Methods. We used US data from the 2015 Youth Risk Behavior Survey, pooled across jurisdictions that included a question about sexual identity for a total sample of 148 960 students. We used boosted regressions (a machine-learning technique) to identify un…
Adolescent Sexual and Reproductive Health (1 work) · Affect (linguistics) (1 work) · Clinical Psychology (1 work) · Environmental health (1 work) · Gender Studies (1 work) · Health equity (1 work) · Heterosexism (1 work) · HIV/AIDS Research and Interventions (1 work) · Homosexuality (1 work) · Human sexuality (1 work)