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Related Concept Videos

One-Way ANOVA: Equal Sample Sizes01:15

One-Way ANOVA: Equal Sample Sizes

One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples of equal sizes, it can be easily observed that the computed F statistic is highly sensitive to the sample mean.
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Behrens–Fisher Test00:57

Behrens–Fisher Test

The Behrens-Fisher test is a statistical method designed to address the Behrens-Fisher problem, which arises when comparing the means of two normally distributed populations with unequal variances. Unlike the Student's t-test, which assumes equal variances, the Behrens-Fisher test allows for mean comparison without this restrictive assumption. This flexibility makes it particularly valuable in scenarios where two independent samples exhibit normality but lack variance homogeneity.
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Optimization of Processing Technology for Tiebangchui with Zanba Based on CRITIC Combined with Box-Behnken Response Surface Method
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Interfield dysbalances in research input and output benchmarking: visualisation by density equalizing procedures.

Beatrix Groneberg-Kloft1, Carolin Kreiter, Tobias Welte

  • 1Otto-Heubner-Centre, Charité-Universitätsmedizin Berlin, Free University Berlin and Humboldt-University Berlin, Germany. beatrix.groneberg-kloft@charite.de

International Journal of Health Geographics
|August 30, 2008
PubMed
Summary
This summary is machine-generated.

Significant funding disparities exist between cardiovascular and respiratory medicine research, impacting diagnostic and therapeutic advancements. This study highlights imbalances in research input and output, urging a review of health system funding policies.

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Last Updated: Jul 2, 2026

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Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

Area of Science:

  • Health Systems Research
  • Medical Research Funding
  • Cardiovascular and Respiratory Medicine

Background:

  • Socioeconomic factors influence health system resource allocation and research funding.
  • Disparities in funding can hinder progress in diagnosing and treating significant diseases.
  • Germany serves as a model for analyzing these disproportions in a high-income country.

Purpose of the Study:

  • To assess benchmarking approaches for analyzing health research funding disproportions.
  • To compare input and output parameters in cardiovascular and respiratory medicine research.
  • To visualize geographical differences in research funding and outcomes.

Main Methods:

  • Analysis of research output parameters against input parameters.
  • Utilizing density-equalizing mapping procedures for geographical visualization.
  • Comparative analysis of cardiovascular versus respiratory medicine research in Germany (2002-2006).

Main Results:

  • Significant imbalance in state financial input: 36 cardiovascular vs. 8 respiratory medicine university departments.
  • Cardiology chairs published more articles (2708 vs. 453) and received more citations (48337 vs. 7290) than respiratory medicine chairs.
  • Major geographical disparities were observed across German states in research funding and output.

Conclusions:

  • Large input and output imbalances exist between cardiovascular and respiratory medicine research.
  • These imbalances necessitate a re-evaluation of current health system funding policies.
  • The study provides data to inform decision-making in health system funding allocation.