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Data Collection by Survey01:07

Data Collection by Survey

8.7K
The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Surveys02:16

Surveys

16.7K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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Regression Toward the Mean01:52

Regression Toward the Mean

6.9K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.9K
Introduction to Surveying, Plane Surveying and Geodetic Surveys01:27

Introduction to Surveying, Plane Surveying and Geodetic Surveys

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Surveying is the art and science of mapping the earth's surface. It involves measuring distances, angles in horizontal or vertical directions, and levels to understand the shape and size of land features. Surveying techniques are essential for various tasks, such as identifying the levels of a land area with reference to a specific point, and mapping undulations and water bodies.There are two main types of surveying: plane surveys and geodetic surveys. Plane surveys assume the earth is flat,...
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Multiple Regression01:25

Multiple Regression

3.8K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
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Correlation and Regression00:53

Correlation and Regression

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In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a...
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Establishing a Competing Risk Regression Nomogram Model for Survival Data
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Metodología de Regresión Joinpoint Extendida para Datos de Encuestas Complejas

Benmei Liu1, Hyune-Ju Kim2, Joe Zou3

  • 1Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland, USA.

Statistics in medicine
|January 23, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Nuevos modelos estadísticos para analizar tendencias en datos de encuestas de salud mejoran la precisión al utilizar datos a nivel individual. Este enfoque maneja correctamente diseños de muestreo complejos y correlaciones entre puntos de tiempo, lo que lleva a análisis de regresión joinpoint más confiables.

Palabras clave:
datos de encuestas complejasmodelo a nivel individualregresión joinpointAIC modificado basado en diseñoanálisis de tendencias

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Área de la Ciencia:

  • Estadística; Bioestadística; Metodología de Encuestas

Sus antecedentes:

  • Los modelos de regresión Joinpoint modelan tendencias en estimaciones agregadas específicas del tiempo, principalmente para datos no de encuestas.
  • Los métodos existentes tienen dificultades con datos de encuestas complejas, que tienen correlaciones entre estimaciones específicas del tiempo y cálculos incorrectos de los grados de libertad.

Objetivo del estudio:

  • Desarrollar y evaluar modelos de regresión joinpoint a nivel individual para datos de encuestas complejas.
  • Abordar los problemas de correlación entre puntos de tiempo y los grados de libertad correctos en el análisis de datos de encuestas.
  • Proponer un Criterio de Información de Akaike modificado basado en diseño (M-dAIC) para la selección de modelos en diseños de encuestas complejas.

Principales métodos:

  • Se propusieron modelos a nivel individual que incorporan la correlación entre puntos de tiempo y corrigen los grados de libertad para los diseños de muestreo.
  • Se introdujo un Criterio de Información de Akaike modificado basado en diseño (M-dAIC) para la selección de modelos.
  • Se compararon empíricamente los nuevos métodos con los modelos a nivel agregado existentes utilizando estudios de simulación y datos de encuestas de salud.

Principales resultados:

  • Los modelos a nivel individual identificaron con precisión el número real de puntos de unión en datos de encuestas complejas.
  • Los métodos propuestos demostraron un rendimiento superior en comparación con los modelos a nivel agregado establecidos, especialmente con coeficientes de correlación interclase (ICC) moderados a altos.

Conclusiones:

  • Los modelos de regresión joinpoint a nivel individual ofrecen un enfoque más preciso para analizar tendencias en datos de encuestas complejas.
  • Los métodos desarrollados y el M-dAIC proporcionan herramientas sólidas para la inferencia estadística y la selección de modelos en la investigación de encuestas de salud.