相关实验视频

Updated: Jul 25, 2025

A Precision Medicine Tool for Measurement and Monitoring of Hemoglobin S in Sickle Cell Disease Patients Receiving Transfusion Therapy
07:24

A Precision Medicine Tool for Measurement and Monitoring of Hemoglobin S in Sickle Cell Disease Patients Receiving Transfusion Therapy

1.8K

评估状细胞数据收集计划的歧视能力的行政索赔案例定义在识别成年人与状细胞疾病:验证研究验证研究

Ashima Singh1, Marci K Sontag2, Mei Zhou3

  • 1Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI, United States.

JMIR public health and surveillance
|June 28, 2023
PubMed
概括

状细胞数据收集 (SCDC) 计划

关键词:
成年人成年人成年人成年人成年人数据数据的数据数据的数据.疾病 疾病 疾病 疾病流行病学流行病学遗传学 遗传学 遗传学 遗传学 是一个预防 预防 预防罕见的疾病是罕见的情况.状细胞疾病是一种状细胞疾病.监控监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督使用行政数据进行监控.使用利用利用利用利用利用利用利用利用利用

更多相关视频

Magnetic Levitation Coupled with Portable Imaging and Analysis for Disease Diagnostics07:42

Magnetic Levitation Coupled with Portable Imaging and Analysis for Disease Diagnostics

Published on: February 19, 2017

8.8K
Characterization of Sickling During Controlled Automated Deoxygenation with Oxygen Gradient Ektacytometry08:23

Characterization of Sickling During Controlled Automated Deoxygenation with Oxygen Gradient Ektacytometry

Published on: November 5, 2019

9.9K

相关概念视频

Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
160
Test for Homogeneity01:23

Test for Homogeneity

The goodness–of–fit test can be used to decide whether a population fits a given distribution, but it will not suffice to decide whether two populations follow the same unknown distribution. A different test, called the test for homogeneity, can be used to conclude whether two populations have the same distribution. To calculate the test statistic for a test for homogeneity, follow the same procedure as with the test of independence. The hypotheses for the test for homogeneity can...
2.0K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
13.6K
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
228
Censoring Survival Data01:09

Censoring Survival Data

Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
151
Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
238