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 Experiment Videos

Transformation in the PC-aided biochemical data analysis.

M Meloun1, M Hill, J Militký

  • 1Department of Analytical Chemistry, Faculty of Chemical Technology, University Pardubice, Czech Republic. milan.meloun@upce.cz

Clinical Chemistry and Laboratory Medicine
|September 15, 2000
PubMed
Summary

Data transformations, like Box-Cox, improve skewed sample distributions for better analysis. This study applies these methods to newborn blood data, aiding in the diagnosis of steroid-related conditions.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Serum hyaluronic acid as a potential marker with a predictive value for further radiographic progression of hand osteoarthritis.

Osteoarthritis and cartilage·2009
Same author

Neurological and neurophysiological examinations on workers with chronic poisoning by 2,3,7,8-TCDD: follow-up 35 years after exposure.

European journal of neurology·2007
Same author

Retinal haemorrhages in an infant following RetCam screening for retinopathy of prematurity.

Eye (London, England)·2004
Same author

Does polymorphism C1377T of the calcitonin receptor gene determine bone mineral density in postmenopausal women?

Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association·2003
Same author

Comorbidity of parkinsonism and schizophrenia in a patient treated with clozapine.

European psychiatry : the journal of the Association of European Psychiatrists·2003
Same author

Oxaliplatin and capecitabine chemotherapy for advanced colorectal cancer: a single institution's experience.

Clinical oncology (Royal College of Radiologists (Great Britain))·2003

Area of Science:

  • Biochemistry
  • Statistics
  • Clinical Data Analysis

Background:

  • Exploratory data analysis often reveals skewed sample distributions or lack of homogeneity in biochemical and clinical data.
  • Data transformations are crucial for improving data suitability for analysis when original scales are problematic.
  • Symmetric and stable variance are key assumptions for many statistical methods.

Purpose of the Study:

  • To present a data transformation procedure for univariate data analysis.
  • To improve sample symmetry and stabilize variance in skewed datasets.
  • To illustrate the application of data transformation in analyzing 17-hydroxypregnenolone levels in newborn umbilical blood.

Main Methods:

  • Power transformation and Box-Cox transformation were employed to address data skewness and variance heterogeneity.

Related Experiment Videos

  • Hines-Hines selection graphs and log-likelihood function plots were used for optimal transformation parameter selection.
  • Exploratory data analysis with diagnostic plots was performed to examine statistical assumptions.

    • Main Results:

    • The applied data transformation techniques successfully improved sample symmetry and variance stability.
    • The procedure was effectively illustrated using the analysis of 17-hydroxypregnenolone in umbilical cord blood.
    • The analysis identified lower free 5-ene steroids and elevated 5-ene steroid sulfates, indicative of placental sulfatase insufficiency.

    Conclusions:

    • Data transformation is a valuable tool for enhancing the analysis of skewed biochemical and clinical data.
    • The proposed method aids in deriving accurate estimates, such as the mean value of 17-hydroxypregnenolone.
    • This approach supports the identification of specific clinical conditions like congenital sex-specific placental sulfatase insufficiency.