Implementation of statistical analysis in the clinical research of coeliac disease : use of probit and logit analysis

2011 ◽  
Vol 7 (2) ◽  
Author(s):  
A Pourhoseingholi ◽  
MA Pourhoseingholi
Keyword(s):  
Statistical Analysis ◽  
Clinical Research ◽  
Coeliac Disease ◽  
Logit Analysis

scholarly journals Significance of Statistical Analysis to the Acceptance of a Clinical Research Report - Actual Submitted Treatises and Responses from Reviewers

2021 ◽  
Vol 41 (7) ◽  
pp. 609-613
Author(s):  
Masato HIRABAYASHI ◽  
Katsushi DOI ◽  
Noritaka IMAMACHI ◽  
Tomomune KISHIMOTO ◽  
Yoji SAITO
Keyword(s):  
Statistical Analysis ◽  
Clinical Research ◽  
Research Report

LOGIT ANALYSIS OF GENETIC DATA

2008 ◽  
Vol 13 (1) ◽  
pp. 135-144 ◽  
Author(s):  
J. Židanavičiutė
Keyword(s):  
Statistical Analysis ◽  
Logit Model ◽  
Genetic Data ◽  
Dependence Structure ◽  
Logit Analysis ◽  
Genetic Sequence ◽  
Test Hypothesis ◽  
First Order ◽  
New Framework

A new framework of genetic sequence statistical analysis based on generalized logit model is introduced. Logit analysis is applied to assess the dependence structure (interactions) between DNA nucleotides and to test hypothesis about Markov order of these dependencies. The procedure proposed seeks the non‐coding subsequences which are homogeneous but yet non‐Markov. It has been shown, that even homogeneous DNA regions can not be treated as the first order Markov sequences.

Topographic EEG Mapping Methods

Cephalalgia ◽  
1993 ◽  
Vol 13 (1) ◽  
pp. 45-52 ◽  
Author(s):  
Jürgen Michael Klotz
Keyword(s):  
Statistical Analysis ◽  
Clinical Research ◽  
Data Acquisition ◽  
Clinical Applications ◽  
Eeg Mapping ◽  
Topographic Eeg ◽  
Mapping Techniques ◽  
Diagnostic Importance ◽  
Eeg Computer Analysis ◽  
Topographic Eeg Mapping

After almost 40 years of research on EEG computer analysis, present clinical applications of this method remain limited. At the present time, EEG mapping is suited primarily for research. Despite the pitfalls of an uncritical application of EEG mapping, progress in clinical research made possible by EEG mapping techniques has been considerable. Some problems of data acquisition, display and statistical analysis are discussed in this paper. For headache research examination of the activated EEG, especially with photic stimulation, has greater diagnostic importance than mapping under resting conditions.

Selected Topics in Statistical Analysis of Clinical Research

1989 ◽  
Vol 2 (1) ◽  
pp. 34-40
Author(s):  
Lee Baer ◽  
David K. Ahern
Keyword(s):  
Statistical Analysis ◽  
Clinical Research

scholarly journals Measurement error in clinical research, yes it matters

2020 ◽  
Vol 183 (3) ◽  
pp. E3-E5
Author(s):  
Rolf H H Groenwold ◽  
Olaf M Dekkers
Keyword(s):  
Statistical Analysis ◽  
Measurement Error ◽  
Clinical Research ◽  
Biomedical Study

The validity of any biomedical study is potentially affected by measurement error or misclassification. It can affect different variables included in a statistical analysis, such as the exposure, the outcome, and confounders, and can result in an overestimation as well as in an underestimation of the relation under investigation. We discuss various aspects of measurement error and argue that often an in-depth discussion is needed to appropriately assess the quality and validity of a study.

scholarly journals Early diagnosis of coeliac disease in the Preventive Youth Health Care Centres in the Netherlands: study protocol of a case finding study (GLUTENSCREEN)

2021 ◽  
Vol 5 (1) ◽  
pp. e001152
Author(s):  
Caroline Meijer-Boekel ◽  
M.Elske van den Akker ◽  
Leti van Bodegom ◽  
Johanna Escher ◽  
Nan van Geloven ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
The Netherlands ◽  
Coeliac Disease ◽  
Cost Effective ◽  
Statistical Analysis Plan ◽  
Case Finding ◽  
Youth Health ◽  
Short Term ◽  
Finding Study

IntroductionCoeliac disease (CD) occurs in 1% of the population, develops early in life and is severely underdiagnosed. Undiagnosed and untreated disease is associated with short-term and long-term complications. The current healthcare approach is unable to solve the underdiagnosis of CD and timely diagnosis and treatment is only achieved by active case finding. Aim: to perform a case finding project to detect CD children who visit the Youth Health Care Centres (YHCCs) in a well-described region in the Netherlands to evaluate whether it is feasible, cost-effective and well accepted by the population.Methods/analysisProspective intervention cohort study. Parents of all children aged 12 months and 4 years attending the YHCCs for a regular visit are asked whether their child has one or more CD-related symptoms from a standardised list. If so, they will be invited to participate in the case finding study. After informed consent, a point of care test (POCT) to assess CD-specific antibodies against tissue transglutaminase (TG2A) is performed onsite the YHCCs. If the POCT is positive, CD is highly suspected and the child will be referred to hospital for definitive diagnosis according to the Guideline Coeliac Disease of the European Society for Pediatric Gastroenterology, Hepatology and Nutrition guideline.Main outcomesIncidence rate of new CD diagnoses in the study region in comparison to the one in the same age diagnosed by standard of care in the rest of the Netherlands.Feasibility and cost-effectiveness of active CD case finding at the YHCCs. All costs of active case finding, diagnostics and treatment of CD and the potential short-term and long-term consequences of the disease will be calculated for the setting with and without case finding.Ethical acceptability: by questionnaires on parental and healthcare professionals’ satisfaction.A statistical analysis plan was prepared and is published on the GLUTENSCREEN website (Statistical-Analysis-Plan-11-5-2021_def.pdf (glutenscreen.nl) and added as annex 1).Ethics and disseminationThe Medical Ethics Committee Leiden approved this study. If we prove that case finding at the YHCC is feasible, cost-effective and well accepted by the population, implementation is recommended.Trial registration numberNL63291.058.17.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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