Lorentz JÄNTSCHI (lori) works ?id=40
• [id] => 40
• [recorddate] => 2007:01:13:11:23:07
• [lastupdate] => 2007:01:13:11:23:07
• [type] => article
• [place] => www, Internet
• [subject] => mathematics - modeling; medicine - epidemiology; medicine - evidence based; medicine - informatics
• [relatedworks] =>
• 3 (low):
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• 4 (some):
• Communication of results on risk factors studies: confidence intervals, ?id=109
• [file] => ?f=40
• [mime] => application/pdf
• [size] => 472352
• [pubname] => Leonardo Electronic Journal of Practices and Technologies
• [pubinfo] => AcademicDirect
• [pubkey] => ISSN 1583-1078
• [workinfo] => 2(3): 45-74
• [year] => 2003
• [title] => Binomial distribution sample confidence intervals estimation 1. Sampling and medical key parameters calculation
• [authors] => Tudor DRUGAN, Sorana D. BOLBOACĂ, Lorentz JÄNTSCHI, Andrei ACHIMAŞ-CADARIU
• [abstract] =>
The aim of the paper was to present the usefulness of the binomial distribution in studying of the contingency tables and the problems of approximation to normality of binomial distribution (the limits, advantages, and disadvantages). The classification of the medical keys parameters reported in medical literature and expressing them using the contingency table units based on their mathematical expressions restrict the discussion of the confidence intervals from 34 parameters to 9 mathematical expressions. The problem of obtaining different information starting with the computed confidence interval for a specified method, information like confidence intervals boundaries, percentages of the experimental errors, the standard deviation of the experimental errors and the deviation relative to significance level was solves through implementation in PHP programming language of original algorithms. The cases of expression, which contain two binomial variables, were separately treated. An original method of computing the confidence interval for the case of two-variable expression was proposed and implemented. The graphical representation of the expression of two binomial variables for which the variation domain of one of the variable depend on the other variable was a real problem because the most of the software used interpolation in graphical representation and the surface maps were quadratic instead of triangular. Based on an original algorithm, a module was implements in PHP in order to represent graphically the triangular surface plots. All the implementation described above was uses in computing the confidence intervals and estimating their performance for binomial distributions sample sizes and variable.
• [keywords] => Confidence Interval; Binomial Distribution; Contingency Table; Medical Key Parameters; PHP Applications