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相关概念视频

Randomized Experiments01:13

Randomized Experiments

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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
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Sampling Plans01:23

Sampling Plans

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Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
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Statistical Significance01:50

Statistical Significance

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Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
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Cluster Sampling Method01:20

Cluster Sampling Method

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Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
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One-Way ANOVA: Unequal Sample Sizes01:15

One-Way ANOVA: Unequal Sample Sizes

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One-way ANOVA can be performed on three or more samples of unequal sizes. However, calculations get complicated when sample sizes are not always the same. So, while performing ANOVA with unequal samples size, the following equation is used:
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相关实验视频

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对于NU IMPACT阶梯集群随机试验的统计分析计划.

Denise M Scholtens1, Nicola Lancki1, Karla Hemming2

  • 1Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America.

Contemporary clinical trials
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PubMed
概括

在NU IMPACT试验更新了其统计分析计划,以评估基于电子健康记录 (EHR) 的症状监测系统在癌症护理中. 这确保了对患者采用和实施结果的可靠分析.

关键词:
癌症症状监测 癌症症状监测电子健康记录电子健康记录实施结果的结果.阶梯试验的试验.

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科学领域:

  • 医疗保健服务研究 医疗服务研究
  • 临床信息学 临床信息学
  • 在瘤学瘤学.

背景情况:

  • 作为IMPACT联盟的一部分,NU IMPACT试验评估了在门诊癌症护理中嵌入电子健康记录 (EHR) 的症状监测和管理计划.
  • 它采用一个阶梯集群随机设计,用于实施结果和一个患者级随机试验,用于有效性结果.
  • 统计分析计划的更新是由于需要在阶段试验中使用先进的方法来推动的.

研究的目的:

  • 详细说明NU IMPACT试验中实施结果的更新统计分析计划.
  • 概述主要和次要的实施结果措施及其分析方法.
  • 确保严格和标准化的方法来分析试验的实施数据.

主要方法:

  • 主要实施结果,即患者采用 (临床层面的每月患者参与EHR系统),将使用通用最小平方线性回归来分析.
  • 分析包括自动回归错误,并对集群和时间效应进行调整,以考虑潜在的世俗趋势.
  • 二次患者和提供者实施结果将使用类似的分析策略.

主要成果:

  • 摘要不包含具体结果,因为它侧重于更新的统计分析计划.
  • 该计划规定了分析患者采用和其他实施结果的方法.
  • 该方法旨在提供基于EHR的症状监测计划的可靠评估.

结论:

  • 分析更新反映了统计学家,实施科学家和试验领导者之间的协作努力.
  • 这份修订后的统计分析计划为分析NU IMPACT试验中的实施结果提供了先验指定的方法.
  • 更新的计划确保了一个严格的基础来评估基于EHR的症状监测系统的实施.