Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Applications of Normal Distribution01:22

Applications of Normal Distribution

5.0K
The normal distribution is a useful statistical tool. One of its practical applications is determining the door height after considering the normal distribution of heights of persons, such that many can pass through it easily without striking their heads. The normal distribution can also determine the probability of a person having a height less than a specific height.
The heights of 15 to 18-year-old males from Chile from 1984 to 1985 followed a normal distribution. The mean height is 172.36...
5.0K
Normal Distribution01:11

Normal Distribution

10.6K
The normal, a continuous distribution, is the most important of all the distributions. Its graph is a bell-shaped symmetrical curve, which is observed in almost all disciplines. Some of these include psychology, business, economics, the sciences, nursing, and, of course, mathematics. Some instructors may use the normal distribution to help determine students’ grades. Most IQ scores are normally distributed. Often real-estate prices fit a normal distribution. The normal distribution is...
10.6K
Central Limit Theorem01:14

Central Limit Theorem

14.5K
The central limit theorem, abbreviated as clt, is one of the most powerful and useful ideas in all of statistics. The central limit theorem for sample means says that if you repeatedly draw samples of a given size and calculate their means, and create a histogram of those means, then the resulting histogram will tend to have an approximate normal bell shape. In other words, as sample sizes increase, the distribution of means follows the normal distribution more closely.
The sample size, n, that...
14.5K
The Anderson-Darling Test01:16

The Anderson-Darling Test

691
The Anderson-Darling test is a statistical method used to determine whether a data sample is likely drawn from a specific theoretical distribution. Unlike parametric tests, it does not require assumptions about specific parameters of the distribution. Instead, it compares the sample's empirical cumulative distribution function (ECDF) with the cumulative distribution function (CDF) of the hypothesized distribution. Critical values for the test are specific to the chosen distribution rather...
691
Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

390
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
390
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

199
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
199

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

50-kHz ultrasonic vocalization subtypes emitted by female rats anticipating same-sex social interaction.

Physiology & behavior·2026
Same author

50-kHz vocalization subtypes emitted by male rats anticipating a sexual partner: Lack of effect of amphetamine withdrawal.

Behavioural brain research·2025
Same author

Gβγ subunits colocalize with RNA polymerase II and regulate transcription in cardiac fibroblasts.

The Journal of biological chemistry·2023
Same author

Stable long-term individual differences in 50-kHz vocalization rate and call subtype prevalence in adult male rats: Comparisons with sucrose preference.

PloS one·2022
Same author

Correlation of functional and radioligand binding characteristics of GPER ligands confirming aldosterone as a GPER agonist.

Pharmacology research & perspectives·2022
Same author

The Signaling and Pharmacology of the Dopamine D1 Receptor.

Frontiers in cellular neuroscience·2022
Same journal

Aryl hydrocarbon receptor pharmacology-mechanisms, ligands, and therapeutic potential.

Pharmacological reviews·2026
Same journal

Mast cell proteases and their significance in physiology, pathology, and therapeutic approaches.

Pharmacological reviews·2026
Same journal

Translational medications development for methamphetamine use disorder: A systematic review of preclinical, human laboratory, and clinical research.

Pharmacological reviews·2026
Same journal

Reharnessing the therapeutic potential of gallium-based compounds in oncology: From the laboratory to the clinic.

Pharmacological reviews·2026
Same journal

Pharmacogenomics of antibacterial and antiviral therapies: Clinical actionability, evidence gaps, and future directions.

Pharmacological reviews·2026
Same journal

International Union of Basic and Clinical Pharmacology. CXXII. Applying an objective evaluation to the status of class A orphan G protein-coupled receptors.

Pharmacological reviews·2026
查看所有相关文章

相关实验视频

Updated: Jun 16, 2025

Analysis and Specification of Starch Granule Size Distributions
08:46

Analysis and Specification of Starch Granule Size Distributions

Published on: March 4, 2021

5.1K

分析逻辑正常数据:一个非数学实用指南

Harvey J Motulsky1, Trajen Head2, Paul B S Clarke3

  • 1GraphPad Software, Los Angeles, California.

Pharmacological reviews
|March 28, 2025
PubMed
概括
此摘要是机器生成的。

逻辑正常分布在药理学中很常见,但经常被误解. 正确地识别和分析这些lognormal (非正常) 分布可以提高生物医学科学中的统计能力和实验效率.

更多相关视频

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

4.4K
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.3K

相关实验视频

Last Updated: Jun 16, 2025

Analysis and Specification of Starch Granule Size Distributions
08:46

Analysis and Specification of Starch Granule Size Distributions

Published on: March 4, 2021

5.1K
A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

4.4K
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.3K

科学领域:

  • 药理学 药理学是指药理学的学科.
  • 生物医学科学 生物医学科学
  • 生物统计学 生物统计学

背景情况:

  • 在药理学参数中经常观察到逻辑正常分布,例如EC50,IC50,Kd和Km.
  • 这些分布源于多重生物效应,但往往被忽视或错误分析.
  • 误认为正常分布导致错误的统计能力和数据解释.

研究的目的:

  • 解释生物医学数据中逻辑正常分布的流行率和特征.
  • 提供关于识别,分析和呈现lognormal数据的实际指导.
  • 倡导基于可变性而不是仅仅依赖正常性测试的逻辑正常性假设.

主要方法:

  • 在药理学中对逻辑正常分布原理的审查.
  • 通过可访问的例子和模拟进行演示.
  • 蒙特卡洛模拟推对lognormal数据进行统计测试.

主要成果:

  • 许多测量和导出的药理学变量遵循逻辑正常分布.
  • 错误地将lognormal数据归类为正常数据会降低统计能力,并膨胀样本大小要求.
  • 许多数据集通过了正常性和逻辑正常性测试,特别是在小样本大小的情况下.

结论:

  • 识别和适当分析逻辑正常分布可以提高实验设计和统计可靠性.
  • 推的统计测试包括lognormal Welch的t测试,布鲁纳-蒙泽尔测试,lognormal比率配对的t测试,和lognormal ANOVA.
  • 有效地处理lognormal数据可以改善药理学研究结果的沟通.