Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

5.8K
The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
5.8K
Therapeutic Drug Monitoring: Drug Analysis Methods01:26

Therapeutic Drug Monitoring: Drug Analysis Methods

342
Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood or body tissues to tailor drug therapy effectively. This monitoring is critical for managing drugs with narrow therapeutic indices like digoxin and phenytoin, ensuring they are both safe and effective. For instance, monitoring theophylline levels in asthma patients involves precision and sensitivity to adjust doses according to individual responses to therapy, ensuring efficacy and...
342
Bioequivalence Data: Statistical Interpretation01:16

Bioequivalence Data: Statistical Interpretation

357
The statistical interpretation of bioequivalence data is a significant aspect of pharmaceutical research. Bioequivalence refers to the absence of any significant difference in the rate and extent to which the active ingredient in pharmaceutical products becomes available at the site of drug action when administered at the same molar dose under similar conditions. This helps determine if different drug products have similar absorption rates, ensuring their interchangeability.Statistical...
357
Contaminants and Errors01:16

Contaminants and Errors

666
Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
Another key consideration is determining the appropriate number of samples required to...
666
Significance Testing: Overview01:04

Significance Testing: Overview

10.2K
Significance testing is a set of statistical methods used to test whether a claim about a parameter is valid. In analytical chemistry, significance testing is used primarily to determine whether the difference between two values comes from determinate or random errors. The effect of a particular change in the measurement protocol, analyst, or sample itself can cause a deviation from the expected result. In the case of a suspected deviation/outlier, we need to be able to confirm mathematically...
10.2K
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test01:09

Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test

6.2K
In parametric statistics, two fundamental tests stand out for their utility and wide application: the Student's t-test and goodness-of-fit tests. These tests provide researchers with a robust method for drawing insights from data, testing hypotheses, and making informed decisions based on their findings.
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with...
6.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

High incidence of TB at a psychiatric hospital.

IJTLD open·2025
Same author

A high stem to leaf ratio reduced rainfall use efficiency under altered rainfall patterns in a semi-arid grassland in northeast China.

Plant biology (Stuttgart, Germany)·2021
Same author

MAGEA1 interacts with FBXW7 and regulates ubiquitin ligase-mediated turnover of NICD1 in breast and ovarian cancer cells.

Oncogene·2017
Same author

Phosphatase PRL2 promotes AML1-ETO-induced acute myeloid leukemia.

Leukemia·2017
Same author

In vivo targeting of leukemia stem cells by directing parthenolide-loaded nanoparticles to the bone marrow niche.

Leukemia·2015
Same author

Effects of dietary probiotic supplementation on LXRα and CYP7α1 gene expression, liver enzyme activities and fat metabolism in ducks.

British poultry science·2015
Same journal

Correction: Early in, early out: reproductive lifespan timing and cardiometabolic risk in women.

Journal of endocrinological investigation·2026
Same journal

Adult mice are more susceptible to high-fat diet-induced visceral adiposity and insulin resistance than juvenile mice.

Journal of endocrinological investigation·2026
Same journal

Lactobacillus gasseri alleviates type 2 diabetes via modulation of gut microbiota-host metabolic networks.

Journal of endocrinological investigation·2026
Same journal

Rare causes of exogenous Cushing's Syndrome: a challenge for endocrinologists.

Journal of endocrinological investigation·2026
Same journal

Phase angle and triglyceride-glucose index as biomarkers of glycemic control, body composition and cardiovascular risk in adolescents with type 1 diabetes: a cross-sectional study.

Journal of endocrinological investigation·2026
Same journal

4-Methylumbelliferone for type 1 diabetes therapy: evidence for β-cell protection via EGFR/PI3K/Akt signaling.

Journal of endocrinological investigation·2026
See all related articles

Related Experiment Video

Updated: May 2, 2026

Evaluation of Oxidative Stress in Biological Samples Using the Thiobarbituric Acid Reactive Substances Assay
06:19

Evaluation of Oxidative Stress in Biological Samples Using the Thiobarbituric Acid Reactive Substances Assay

Published on: May 12, 2020

32.6K

Establish and verify TSH reference intervals using optimized statistical method by analyzing laboratory-stored data.

Y Feng1, W Bian, C Mu

  • 1The Clinical Laboratory Center, The Tumor Hospital Affiliated to Xin Jiang Medical University, Urumqi, China.

Journal of Endocrinological Investigation
|March 12, 2014
PubMed
Summary
This summary is machine-generated.

This study optimized statistical methods to establish new thyroid stimulating hormone (TSH) reference intervals (RIs). The new TSH RIs are viable for verifying existing laboratory RIs.

More Related Videos

An In Vivo Estrogen Deficiency Mouse Model for Screening Exogenous Estrogen Treatments of Cardiovascular Dysfunction After Menopause
06:18

An In Vivo Estrogen Deficiency Mouse Model for Screening Exogenous Estrogen Treatments of Cardiovascular Dysfunction After Menopause

Published on: August 13, 2019

11.7K
Quantification of the Immunosuppressant Tacrolimus on Dried Blood Spots Using LC-MS/MS
08:38

Quantification of the Immunosuppressant Tacrolimus on Dried Blood Spots Using LC-MS/MS

Published on: November 8, 2015

16.1K

Related Experiment Videos

Last Updated: May 2, 2026

Evaluation of Oxidative Stress in Biological Samples Using the Thiobarbituric Acid Reactive Substances Assay
06:19

Evaluation of Oxidative Stress in Biological Samples Using the Thiobarbituric Acid Reactive Substances Assay

Published on: May 12, 2020

32.6K
An In Vivo Estrogen Deficiency Mouse Model for Screening Exogenous Estrogen Treatments of Cardiovascular Dysfunction After Menopause
06:18

An In Vivo Estrogen Deficiency Mouse Model for Screening Exogenous Estrogen Treatments of Cardiovascular Dysfunction After Menopause

Published on: August 13, 2019

11.7K
Quantification of the Immunosuppressant Tacrolimus on Dried Blood Spots Using LC-MS/MS
08:38

Quantification of the Immunosuppressant Tacrolimus on Dried Blood Spots Using LC-MS/MS

Published on: November 8, 2015

16.1K

Area of Science:

  • Clinical Chemistry
  • Laboratory Medicine
  • Biostatistics

Background:

  • Establishing accurate reference intervals (RIs) for thyroid stimulating hormone (TSH) is crucial for diagnosing thyroid disorders.
  • Existing laboratory RIs may require validation and optimization using robust statistical methodologies.

Purpose of the Study:

  • To establish optimized reference intervals (RIs) for TSH using an improved statistical method.
  • To verify the newly established TSH RIs against current laboratory-provided RIs.

Main Methods:

  • Collected TSH test results from January 2010 to April 2012.
  • Applied an improved Hoffmann and Katayev statistical method to establish TSH RIs for various demographic groups.
  • Conducted comparative verification of new TSH RIs against existing laboratory RIs.

Main Results:

  • New TSH RIs were established for different population subgroups.
  • Comparison with the current laboratory RI (0.270-4.200 mIU/L) showed most reference change values (RCVs) were acceptable.
  • The optimized statistical method yielded a new TSH RI of 0.233-4.979 mIU/L, which expanded the existing RI.
  • The new RI was validated as a confidence interval for the current laboratory RI.

Conclusions:

  • TSH RIs established using the optimized Hoffmann and Katayev methods are viable.
  • The new TSH RIs can effectively verify RIs provided by manufacturers or other laboratories.