"NB7391"
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Závěrečná zpráva o řešení grantu Interní grantové agentury MZ ČR
509 l. : il., tab., grafy ; 30 cm
Význam statistických analýz rozsáhlých souborů v endokrinologické diagnostice i výzkumu vzrůstá. Data často nesplňují předpoklady pro zpracování vícerozměrnými technikami, mají negaussovské rozdělení, nekonstantní rozptyl i další anomálie. Často není předem zřejmé, které proměnné jsou závislé. Cílem bude vývoj metodologie umožňující extrakci věrohodné informace i z těchto dat tj. nalezení struktury vztahů mezi proměnnými a určení podstatných vlastností systému. Budeme vyvíjet robustní modofikace vícerozměrných metod, jako je faktorová analýza, kanonická korelace, diskriminační analýza a další založených na iterativních cyklech s exploratorní analýzou dat s diagnostikou anomálií a transformacemi. Metodiky hodláme aplikovat u souborů z oblasti endokrinologie. Budeme také konstruovat modely s vysokou predikční schopností pro odhalování patologií. Nové metodiky zpracování dat i získané informace budeme hojně publikovat.; Significance of statistical analyses of extensive data sets in endocrinological diagnostics increase. The data do not fulfill assumptions for treatment with multivariate techniques, exhibiting non-Gaussian distribution with non-homogeneities, heteroscedFrequently, there is no information which variable is dependent. We will develop the methodology enabling extraction of information even from such data i.e. finding structure of relations between variables and detection of essential properties. We will build up robust modifications of multivariate methods as factor analysis, canonical correlations, discrimination analysis and other based on iterative cycles with exploratory data analysis, diagnostics of anomalies and transformations. We will apply the methods in number of endocrinological data sets and build up prediction models for detection of endocrinopathies. New methods as the information obtained will be valorized by a plentifull publication activity.
- MeSH
- diagnostické techniky endokrinologické MeSH
- endokrinologie MeSH
- faktorová analýza statistická MeSH
- interpretace statistických dat MeSH
- komprese dat MeSH
- Konspekt
- Fyziologie člověka a srovnávací fyziologie
- NLK Obory
- endokrinologie
- lékařská informatika
- statistika, zdravotnická statistika
- diagnostika
- NLK Publikační typ
- závěrečné zprávy o řešení grantu IGA MZ ČR
- MeSH
- faktorová analýza statistická * MeSH
- statistická rozdělení * MeSH
- Publikační typ
- práce podpořená grantem MeSH
- MeSH
- biostatistika * metody MeSH
- shluková analýza * MeSH
- Publikační typ
- práce podpořená grantem MeSH
A critical comparison of the various PCA methods on the absorbance matrix data concerning the complexation equilibria between SNAZOXS and Cd(2+), Co(2+), Cu(2+), Ni(2+), Pb(2+) and Zn(2+) or Naphtylazoxine 6S and Cd(2+), Cu(2+), Ni(2+) and Zn(2+) at 25 degrees C is performed. The number of complex species in a complex-forming equilibria mixture is the first important step for further qualitative and quantitative analysis in all forms of spectral data treatment. Therefore, the accuracy of the nine selected index functions for the prediction of the number of light-absorbing components that contribute to a set of spectra is critically tested using the principal component PCA algorithm INDICES in S-Plus software. Four precise methods based upon a knowledge of the experimental error of the absorbance data and five approximate methods requiring no such knowledge are discussed. Precise methods always predict the correct number of components even a presence of the minor species in mixture. Due to the large variations in the index values and even at logarithmic scale they do not reach an obvious point where the slope changes. An improved identification with the second or third derivative and derivative ratio function for some indices is preferred. Behind the number of various complexes formed the stability constants of species ML, ML(2), (and ML(3), respectively) type logbeta(11), logbeta(12), (and logbeta(13), respectively) for the system of SNAZOXS (ligand L) with six metals (the standard deviation s(logbeta(pq)) of the last valid digits are in brackets) Cd(2+) (4.50(3), 8.36(7)), Co(2+) (5.75(6), 9.79(9), 13.05(2)), Cu(2+) (6.69(6), 11.40(7)), Ni(2+) (6.44(8), 10.91(11), 15.07(10)), Pb(2+) (5.63(5), 9.97(9)) and Zn(2+) (5.11(3), 8.84(5)) and for system of Naphtylazoxine 6S with Cd(2+) (6.08(4), 11.44(7), 16.06(11)), Cu(2+) (7.80(8), 13.41(14)), Ni(2+) (6.35(12), 11.43(19), 16.68(24)) and Zn(2+) (7.01(8), 12.65(15)) at 25 degrees C are estimated with SQUAD(84) nonlinear regression of the mole-ratio spectrophotometric data. The proposed strategy of an efficient experimentation in a stability constants determination, followed by a computational strategy, is presented with goodness-of-fit tests and various regression diagnostics able to prove the reliability of the chemical model proposed
BACKGROUND AND AIM: Adiponectin is regarded as a possible link between adiposity and insulin resistance. Ghrelin and leptin are considered as signals of energy status. We evaluated the relationships between these peptides, androgens and insulin sensitivity in women affected by polycystic ovary syndrome. METHODS: Thirty-six women with PCOS were examined with euglycemic hyperinsulinemic clamp (to determine M/I, index of insulin sensitivity). Leptin, ghrelin, adiponectin, androgens, and SHBG were determined. Statistics was done using correlation analysis and backward stepwise multiple regression. RESULTS: The positive correlation of adiponectin with testosterone remains significant even after adjustment for BMI (p = 0.01), M/I (p = 0.009) and for both M/I and BMI (p = 0.02). In multiple regression with testosterone, M/I, leptin and ghrelin as independent variables, the model including testosterone (p = 0.03) and ghrelin (p = 0.002) explained 49% of the variability (p < 0.0012) of adiponectin. CONCLUSIONS: Both adiponectin and ghrelin can be involved in the pathophysiology of PCOS but their relation must be delineated further. Copyright (c) 2005 S. Karger AG, Basel.
- MeSH
- adiponektin * krev MeSH
- androgeny krev MeSH
- biologické markery krev MeSH
- dospělí MeSH
- ghrelin MeSH
- globulin vázající pohlavní hormony metabolismus MeSH
- glykemický clamp MeSH
- index tělesné hmotnosti MeSH
- inzulinová rezistence MeSH
- leptin krev MeSH
- lidé středního věku MeSH
- lidé MeSH
- peptidové hormony krev MeSH
- regresní analýza MeSH
- syndrom polycystických ovarií * epidemiologie krev MeSH
- testosteron krev MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- ženské pohlaví MeSH
- MeSH
- algoritmy MeSH
- amenorea metabolismus patologie MeSH
- dospělí MeSH
- glukosa farmakokinetika MeSH
- hyperandrogenismus diagnóza metabolismus patologie MeSH
- index tělesné hmotnosti MeSH
- krevní glukóza metabolismus MeSH
- lidé MeSH
- statistické modely MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- ženské pohlaví MeSH
The mixed dissociation constants of five drug acids-ambroxol, antazoline, naphazoline, oxymetazoline and ranitidine-at various ionic strengths I of range 0.01 and 1.0 and at temperatures of 25 and 37 degrees C were determined using SQUAD(84) regression analysis of the pH-spectrophotometric titration data. A proposed strategy of efficient experimentation in a protonation constants determination, followed by a computational strategy for the chemical model with a protonation constants determination, is presented on the protonation equilibria of ambroxol. The thermodynamic dissociation constant pK(a)(T) was estimated by non-linear regression of {pK(a), I} data at 25 and 37 degrees C: for ambroxol p K (a ,1)(T )=8.05 (6) and 8.25 (4), logbeta (21)(T )=11.67 (6) and 11.83 (8), for antazoline p K (a ,1)(T )=7.79 (2) and 7.83 (6), p K (a ,2)(T )=9.74 (3) and 9.55 (2), for naphazoline pK (a ,1)(T )=10.81 (1) and 10.63 (1), for oxymethazoline pK (a ,1)(T )=10.62 (2) and 10.77 (7), pK(a,2)(T)=12.03(3) and 11.82 (4) and for ranitidine p K (a ,1)(T )=1.89 (1) and 1.77 (1). Goodness-of-fit tests for various regression diagnostics enabled the reliability of the parameter estimates to be found.
