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Related Concept Videos

Dose-Response Relationship: Overview01:03

Dose-Response Relationship: Overview

Agonists can bind with and activate receptors, resulting in the formation of drug-receptor complexes. Once formed, these complexes catalyze many biochemical processes at the cellular level and subsequently induce a pharmacologic response. The degree of response is directly proportional to the fraction of activated receptors, which in turn, depends on the concentration of the drug at the receptor site as well as the sensitivity of the receptor. An increase in the administered dose contributes to...
Dose Response Curve: Conventional Versus Nonmonotonic01:21

Dose Response Curve: Conventional Versus Nonmonotonic

The correlation between a drug's dosage and its impact on a biological system is a cornerstone of pharmacology and toxicology. Conventional dose–response curves, which include graded and quantal relationships, are key to this understanding. Graded dose–response curves depict the spectrum of a biological reaction to different doses within an individual, indicating that as the drug dosage increases, so does the intensity of the response. On the other hand, quantal dose–response relationships...
Odds Ratio01:09

Odds Ratio

The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
Hazard Ratio01:12

Hazard Ratio

The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial evaluating a...
Dose-Response Relationship: Potency and Efficacy01:22

Dose-Response Relationship: Potency and Efficacy

The potency of a drug is the measure of its ability to produce a biological response and can be compared by looking at the half-maximum effective concentration or EC50 values of different drugs. A lower EC50 value indicates higher potency of the drug. In the dose–response curve of two antihypertensive drugs, candesartan and irbesartan, a significant difference is observed in their EC50 values. A lower EC50 value for candesartan indicates that it is more potent than irbesartan, as it produces...
Dose-Response Relationship: Selectivity and Specificity01:25

Dose-Response Relationship: Selectivity and Specificity

Drugs exert their therapeutic effects by interacting with receptors, enzymes, or ion channels that are present throughout the human body. The strength and duration of the interaction between a drug and its target receptor are characterized by the selectivity and specificity of the drug. Selectivity refers to a drug's strong preference for its intended target over other targets. For instance, isoprenaline, a non-selective β-adrenergic agonist, interacts with both β1- and β2-adrenergic receptors...

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Related Experiment Video

Updated: Jun 9, 2026

Characterization of Recombination Effects in a Liquid Ionization Chamber Used for the Dosimetry of a Radiosurgical Accelerator
07:31

Characterization of Recombination Effects in a Liquid Ionization Chamber Used for the Dosimetry of a Radiosurgical Accelerator

Published on: May 9, 2014

Consonant closed likelihood ratio test procedures with application to dose-response study.

Bushi Wang1, Xinping Cui

  • 1Department of Statistics, University of California, Riverside, CA 92521, USA.

Statistics in Medicine
|August 27, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces novel consonant closed likelihood ratio tests for multiple testing procedures (MTP). These new methods offer advantages over existing tests, controlling the family-wise error rate (FWER) more effectively.

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Published on: August 9, 2024

Area of Science:

  • Statistics
  • Biostatistics
  • Hypothesis Testing

Background:

  • Coherence and consonance are key properties in multiple testing procedures (MTP).
  • Closed test procedures are coherent but not always consonant.
  • Existing methods like step-down Dunnett (SD) and step-up Dunnett-Tamhane (SU) tests have limitations.

Purpose of the Study:

  • To propose two new consonant closed likelihood ratio tests.
  • To compare these new tests with existing SD and SU tests.
  • To provide guidelines for applying consonance adjustments in multivariate analysis.

Main Methods:

  • Development of two consonant closed likelihood ratio tests.
  • Comparison through simulations and dose-response studies.
  • Evaluation of family-wise error rate (FWER) control and computational effort.

Main Results:

  • The new consonant closed tests demonstrate advantages over SD and SU tests.
  • Larger rejection regions observed, especially when many null hypotheses are false.
  • Strong FWER control is achieved without the equal correlation assumption required by the SU test.

Conclusions:

  • The proposed consonant closed likelihood ratio tests offer improved performance in MTP.
  • These new procedures provide a robust alternative, particularly in scenarios with high false null hypothesis rates.
  • Guidelines are provided for practical application in complex statistical models.