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Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
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Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
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Fisher's exact test is a statistical significance test widely used to analyze 2x2 contingency tables, particularly in situations where sample sizes are small. Unlike the chi-squared test, which approximates P-values and assumes minimum expected frequencies of at least five in each cell, Fisher's exact test calculates the exact probability (P-value) of observing the data or more extreme results under the null hypothesis. This feature makes it especially valuable when the assumptions of...
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Diseños exactos de ensayos clínicos aleatorizados en dos etapas de fase 2 para dos puntos finales co-primarios

Hyejung Jung1,2, Aya A Mitani1, M Ishrat Husain2,3,4

  • 1Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.

Statistics in medicine
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Los nuevos métodos para los ensayos clínicos de fase 2 permiten probar múltiples puntos finales. Un enfoque basado en la simulación diseña con precisión ensayos de dos brazos, ofreciendo una alternativa eficiente a los métodos exactos para muestras de mayor tamaño.

Palabras clave:
puntos finales co-primarios binarios.Distribución binomial bivariada con una distribución binomial bivariada.Enumeración exacta de las enumeraciones.salud mental salud mental.ensayo de fase 2 en dos etapas en el ensayo de fase 2.

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Área de la Ciencia:

  • La bioestadística es la bioestadística.
  • El diseño del ensayo clínico.

Sus antecedentes:

  • Los ensayos de fase 2 a menudo requieren demostrar la eficacia en múltiples puntos finales co-primarios utilizando pruebas de hipótesis de intersección-unión.
  • Los diseños existentes para puntos finales binarios son limitados, especialmente para ensayos de dos brazos con tamaños de muestra pequeños, que a menudo se basan en aproximaciones normales inadecuadas.

Objetivo del estudio:

  • Desarrollar y evaluar métodos exactos y basados en simulación para el diseño de ensayos de fase 2 de dos brazos y dos etapas con dos puntos finales binarios co-primarios.
  • Identificar diseños óptimos y mínimos que minimicen los tamaños de muestra esperados y máximos, respectivamente, con una detención temprana de la futilidad.

Principales métodos:

  • Utilizó la distribución binomial bivariada para modelar dos puntos finales binarios co-primarios con correlaciones potencialmente diferentes en los brazos de tratamiento.
  • Desarrolló métodos exactos para tamaños de muestra pequeños y evaluó métodos de aproximación basados en simulación y normales para tamaños de muestra más grandes al compararlos con el método exacto.

Principales resultados:

  • El método exacto proporciona características de funcionamiento analíticamente exactas para tamaños de muestra pequeños (n ≤ 25 por brazo).
  • El enfoque basado en la simulación produjo diseños que coincidían estrechamente con el método exacto, superando la aproximación normal, que a menudo se desviaba.
  • El método de simulación es computacionalmente eficiente y preciso para ensayos de tamaño de muestra moderado a grande.

Conclusiones:

  • El método basado en la simulación es una alternativa recomendada, computacionalmente eficiente y precisa para diseñar ensayos clínicos de fase 2 con múltiples puntos finales binarios co-primarios.
  • Este marco mejora el diseño de los ensayos de fase 2 al proporcionar métodos sólidos para escenarios complejos de puntos finales.