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19 results on '"Saldiva P"'

9. Inflammatory cell mapping of the respiratory tract in fatal asthma

Author

De Magalhães Simões, S., primary, Dos Santos, M. A., additional, Da Silva Oliveira, M., additional, Fontes, E. S., additional, Fernezlian, S., additional, Garippo, A. L., additional, Castro, I., additional, Castro, F. F. M., additional, De Arruda Martins, M., additional, Saldiva, P. H. N., additional, Mauad, T., additional, and Dolhnikoff, M., additional

Published
2005
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18. The effects of systemic hormonal replacement therapy on the skin of postmenopausal women.

Author

Sauerbronn AV, Fonseca AM, Bagnoli VR, Saldiva PH, and Pinotti JA

Subjects
Collagen analysis, Cyproterone Acetate therapeutic use, Double-Blind Method, Estradiol therapeutic use, Female, Humans, Middle Aged, Postmenopause physiology, Progesterone Congeners therapeutic use, Prospective Studies, Skin chemistry, Estrogen Replacement Therapy, Skin drug effects
Abstract

Objective: The aim of this study was to determine the effects of hormonal replacement therapy on the skin of postmenopausal women., Method: Forty-one postmenopausal women were randomly allocated to receive either hormonal replacement (valerate estradiol--2 mg/day for 21 days and cyproterone acetate--1 mg/day for 10 days) or placebo, both in a cyclic scheme for 6 months. Neither patients nor investigators were aware of the group allocation. Histologic changes were evaluated by skin biopsy of the left upper arm at baseline and after 6 months of treatment, utilizing computerized image analysis to assess the ratio area of epidermis/basement membrane length (AE/BML), ratio area of keratin/basement membrane length (AK/BML) and collagen and elastic fibers content., Result: Collagen content of the left upper arm increased after 6 months of treatment only in the hormonal group (+6.49%; P < 0.05). Other parameters did not present any significant alteration after treatment in both groups., Conclusion: Hormonal replacement for climacterics increases skin collagen content.

Published
2000
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19. The minimum sum of absolute errors regression: a robust alternative to the least squares regression.

Author

Narula SC, Saldiva PH, Andre CD, Elian SN, Ferreira AF, and Capelozzi V

Subjects
Algorithms, Female, Humans, Linear Models, Lung Diseases, Interstitial diagnosis, Lung Diseases, Interstitial physiopathology, Male, Regression Analysis
Abstract

This paper concerns the minimum sum of absolute errors regression. It is a more robust alternative to the popular least squares regression whenever there are outliers in the values of the response variable, or the errors follow a long tailed distribution, or the loss function is proportional to the absolute errors rather than their squared values. We use data from a study of interstitial lung disease to illustrate the method, interpret the findings, and contrast with least squares regression. We point out some of the problems with the least squares analysis and show how to avoid these with the minimum sum of absolute errors analysis.

Published
1999
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