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Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...
Preventive Healthcare Services01:30

Preventive Healthcare Services

Preventive healthcare services keep people healthy via frequent check-ups, screening, and counseling. They primarily aid in disease prevention rather than treating an acute or chronic illness. Preventive treatment also keeps individuals productive and energetic, allowing them to work well into their retirement years. Examples of preventive care services include:

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Related Experiment Video

Updated: May 7, 2026

Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo
09:19

Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo

Published on: February 6, 2015

Program-specific cost-effectiveness analysis: breast cancer screening policies for a safety-net program.

Joy Melnikow1, Daniel J Tancredi, Zhuo Yang

  • 1Center for Healthcare Policy and Research, University of California, Davis, Sacramento, CA, USA.

Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research
|September 18, 2013
PubMed
Summary

Biennial mammography screening for women aged 50-64 is the most cost-effective breast cancer strategy. This approach maximizes life-years gained, even with budget constraints, offering a vital public health policy insight.

Keywords:
breast cancer screeningcost-effectiveness analysishealth policysafety net programs

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Last Updated: May 7, 2026

Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo
09:19

Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo

Published on: February 6, 2015

Area of Science:

  • Health Economics
  • Public Health Policy
  • Cancer Screening

Background:

  • California's Every Woman Counts (EWC) program faced budget cuts and policy decisions.
  • Mammography screening policies significantly impact program costs and outcomes.

Purpose of the Study:

  • To evaluate cost-effectiveness of mammography policy options for the EWC program.
  • To inform policy choices regarding screening age, frequency, and technology.

Main Methods:

  • A microsimulation model assessed costs, outcomes, and cost-effectiveness.
  • Data from program claims, cancer registries, and literature informed model inputs.
  • Key outcomes included procedures, cancers, deaths, costs, and life-years gained.

Main Results:

  • Biennial film mammography (ages 50-64) reduced mortality by 7.8% at $18,999/life-year.
  • Annual screening or digital mammography showed higher costs per life-year.
  • Biennial digital mammography (ages 50-64) cost $17,050/life-year.

Conclusions:

  • Biennial screening mammography starting at age 50 is the most cost-effective EWC strategy.
  • Digital mammography's impact on life expectancy was minimal compared to film.
  • Program-specific cost-effectiveness analysis aids policymakers in resource allocation.