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Quality Assurance01:19

Quality Assurance

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Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
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Many covalent molecules have central atoms that do not have eight electrons in their Lewis structures. These molecules fall into three categories:
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Lewis Symbols and the Octet Rule02:36

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Chemical bonds are complex interactions between two or more atoms or ions, which reduce the potential energy of the molecule. Gilbert N. Lewis developed a model called the Lewis model that simplified the depiction of chemical bond formation and provided straightforward explanations for the chemical bonds seen in most common compounds.
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The Aufbau Principle and Hund's Rule03:02

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To determine the electron configuration for any particular atom, we can build the structures in the order of atomic numbers. Beginning with hydrogen, and continuing across the periods of the periodic table, we add one proton at a time to the nucleus and one electron to the proper subshell until we have described the electron configurations of all the elements. This procedure is called the aufbau principle, from the German word aufbau (“to build up”). Each added electron occupies the...
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The Quotient Rule01:30

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The quotient rule is a fundamental differentiation technique in calculus used to differentiate functions expressed as a ratio of two differentiable functions. Given a function of the form:Where g(x) and h(x) are both differentiable and h(x) ≠ 0, the derivative of f(x) is given by:Example:The quotient rule is beneficial when differentiating rational functions, trigonometric ratios, and exponential functions. For example, given:applying the quotient rule,This rule is essential in solving...
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Midpoint Rule01:20

Midpoint Rule

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Approximating areas under curved boundaries is a common problem in applied mathematics, particularly when an exact calculation is difficult or impractical. One effective numerical method for this purpose is the Midpoint Rule, which provides an estimate of the area under a curve by using rectangular approximations over a specified interval.Description of the Midpoint RuleThe Midpoint Rule begins by dividing the given interval into a number of equal subintervals. For each subinterval, the...
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Updated: Jan 24, 2026

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
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Reglas de Futilidad Informativas Basadas en la Garantía Condicional

Vladimir Dragalin1

  • 1Quantitative Sciences and Clinical Pharmacology, Johnson & Johnson, Spring House, Pennsylvania, USA.

Statistics in medicine
|January 22, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Las reglas de futilidad ayudan a los ensayos farmacéuticos a detenerse temprano si es poco probable que tengan éxito, ahorrando recursos. La garantía condicional ofrece un método nuevo e informativo para estas reglas, equilibrando riesgos y mejorando la toma de decisiones.

Palabras clave:
garantíagarantía condicionalpotencia condicionalregla de futilidadpotencia predictivaprobabilidad predictiva de éxitoreestimación del tamaño de la muestra

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Área de la Ciencia:

  • Diseño de Ensayos Clínicos
  • Estadística Farmacéutica

Sus antecedentes:

  • Las reglas de futilidad permiten la terminación temprana de ensayos clínicos que probablemente no cumplan con los puntos finales de eficacia.
  • Motivadas por consideraciones financieras y éticas, estas reglas son cruciales para la optimización de recursos en el desarrollo de fármacos.

Objetivo del estudio:

  • Revisar las metodologías existentes de reglas de futilidad e introducir un enfoque novedoso llamado garantía condicional.
  • Abordar las deficiencias de las medidas actuales como la potencia condicional y la probabilidad predictiva de éxito, particularmente en diseños de reestimación del tamaño de la muestra.

Principales métodos:

  • Descripción general de la potencia condicional, la probabilidad predictiva de éxito y la probabilidad predictiva de éxito bayesiana.
  • Introducción y explicación de la garantía condicional como una métrica alternativa de reglas de futilidad.
  • Demostración utilizando un estudio de caso para comparar diferentes enfoques de reglas de futilidad.

Principales resultados:

  • Las medidas de futilidad existentes tienen deficiencias, especialmente con la reestimación del tamaño de la muestra.
  • La garantía condicional no requiere estimaciones del efecto del tratamiento intermedio, lo que la hace adecuada para reglas de futilidad informativas.
  • La garantía condicional equilibra la probabilidad de detener por futilidad, su propio valor y la potencia general del ensayo.

Conclusiones:

  • La garantía condicional proporciona una alternativa robusta para desarrollar reglas de futilidad informativas en ensayos farmacéuticos.
  • Esta métrica ayuda a los responsables de la toma de decisiones a comprender y gestionar los riesgos asociados con la terminación temprana del ensayo.
  • Se pueden tomar decisiones informadas sobre la asignación de riesgos basadas en la tolerancia organizacional.