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Claudia L Rivera-Rodriguez

Biographic Data

ID6073453
NAMEClaudia L Rivera-Rodriguez
GIVEN NAMESClaudia L
FAMILY NAMERivera-Rodriguez
SIGNATURERIVERA-RODRIGUEZ C L
AFFILIATIONSDonna Spiegelman and Claudia L. Rivera-Rodriguez are with the Departments of Epidemiology and Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA. Sebastien Haneuse is with the Department of Biostatistics, Harvard T. H. Chan School of Public Health.
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2016
H-INDEX0
  • Evaluating Public Health Interventions

    Donna Spiegelman, Claudia L Rivera-Rodriguez et al.•ARTICLE•American Journal of Public Health•2016•References: 24

    In public health evaluations, confounding bias in the estimate of the intervention effect will typically threaten the validity of the findings. It is a common misperception that the only way to avoid this bias is to measure detailed, high-quality data on potential confounders for every intervention participant, but this strategy for adjusting for confounding bias is often infeasible. Rather than ignoring confounding altogether, the two-phase desi…

No prominent works on this page.

  • Evaluating Public Health Interventions

    Donna Spiegelman, Claudia L Rivera-Rodriguez et al.•ARTICLE•American Journal of Public Health•2016•References: 24

    In public health evaluations, confounding bias in the estimate of the intervention effect will typically threaten the validity of the findings. It is a common misperception that the only way to avoid this bias is to measure detailed, high-quality data on potential confounders for every intervention participant, but this strategy for adjusting for confounding bias is often infeasible. Rather than ignoring confounding altogether, the two-phase desi…

Confounding (1 work) · Environmental health (1 work) · Food Security and Health in Diverse Populations (1 work) · Geography (1 work) · Global Maternal and Child Health (1 work) · Healthcare Policy and Management (1 work) · Information bias (1 work) · Intervention (counseling) (1 work) · Medicine (1 work) · Nursing (1 work)

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