Analýza výskytu mnohopočetných zdravotných komplikácií pri ochorení diabetes mellitus 2. typu
Klíčová slova:
type 2 diabetes mellitus, multiple health complications, logistic regression, least squares means, CONTRAST statement, ESTIMATE statementAbstrakt
Článok analyzuje výskyt mnohopočetných zdravotných komplikácií pri ochorení diabetes mellitus 2. typu na základe vzorky 821 pacientov. Ide o štatistickú analýzu, ktorá vychádza z analýzy marginálnych stredných hodnôt ako aj z testovania a odhadovania lineárnych kombinácií parametrov binomického logistického regresného modelu prostredníctvom príkazov LSMEANS, CONTRAST a ESTIMATE v procedúrach PROC GENMOD a PROC LOGISTIC v programovacom jazyku SAS. Cieľom článku je identifikovať faktory, ktoré ovplyvňujú výskyt mnohopočetných komplikácii pri uvedenom ochorení a kvantifikovať ich vplyv. Výsledkom výskumu je aj identifikovanie najrizikovejších a najmenej rizikových skupín diabetikov z hľadiska výskytu mnohopočetných komplikácií a odhad pravdepodobnosti výskytu mnohopočetných komplikácií pre tieto skupiny pacientov.Reference
[1] Allison, P. D. (2012). Logistic regression using SAS: Theory and application. SAS institute.
[2] Bae, J., Kim, Y. Y., & Lee, J. S. (2017). Factors associated with subjective life expectancy: comparison with actuarial life expectancy. Journal of Preventive Medicine and Public Health, 50(4), 240.
[3] Bergelt, M., Fung Yuan, V., O’Brien, R., Middleton, L. E., & Martins dos Santos, W. (2020). Moderate aerobic exercise, but not anticipation of exercise, improves cognitive control. PLoS One, 15(11), e0242270.
[4] Byrne, K. M., Adler, P. B., & Lauenroth, W. K. (2017). Contrasting effects of precipitation manipulations in two Great Plains plant communities. Journal of vegetation science, 28(2), 238-249.
[5] Colin, T., Bruce, J., Meikle, W. G., & Barron, A. B. (2018). The development of honey bee colonies assessed using a new semi-automated brood counting method: CombCount. PLoS One, 13(10), e0205816.
[6] Darlington, R. B., & Hayes, A. F. (2016). Regression Analysis and Linear Models: Concepts, Applications, and Implementation. Guilford Publications.
[7] Haans, A. (2018). Contrast analysis: A tutorial. Practical Assessment, Research, and Evaluation, 23(1), 9.
[8] Huzar-Novakowiski, J., & Dorrance, A. E. (2018). Genetic diversity and population structure of Pythium irregulare from soybean and corn production fields in Ohio. Plant disease, 102(10), 1989-2000.
[9] IDF (2019). IDF Diabetes Atlas. 9th edition. International Diabetes Federation webpage: https://www.diabetesatlas.org/en (accessed on 13.06.2021).
[10] Košíková, M., & Šoltés, E. (2020). Analýza ekvivalentného disponibilného príjmu slovenských domácností s využitím príkazov CONTRAST a LSMEANS v procedúre GLM. Ekonomika a informatika, 18(2), 86-98.
[11] Lemus, H. (2016). Demystifying the CONTRAST and ESTIMATE Statement. Webpage: https://www.lexjansen.com/wuss/2016/97_Final_Paper_PDF.pdf
(accessed on 12.06.2021).
[12] Littell, R. C., Stroup, W. W., & Freund, R. J. (2010). SAS for Linear Models. 4th ed. Cary, NC: SAS Institude Inc.
[13] NCZI (2021). Činnosť diabetologických ambulancií v Slovenskej republike 2019. Národné centrum zdravotníckych informácií webpage:
http://data.nczisk.sk/statisticke_vystupy/Diabetologia/Cinnost_diabetologickych_ambulancii_v_SR_2019_sprava_k_publikovanym_vystupom.pdf (accessed on 12.06.2021).
[14] Olivera-La Rosa, A., Chuquichambi, E. G., & Ingram, G. P. (2020). Keep your (social) distance: Pathogen concerns and social perception in the time of COVID-19. Personality and Individual Differences, 166, 110200.
[15] Pasta, D. J. (2005). Parameterizing models to test the hypotheses you want: Coding indicator variables and modified continuous variables. In Proceedings of the Thirtieth Annual SAS Users Group International Conference (Paper 212-30).
[16] Quigley, M. Y., Rivers, M. L., & Kravchenko, A. N. (2018). Patterns and sources of spatial heterogeneity in soil matrix from contrasting long term management practices. Frontiers in Environmental Science, 6, 28.
[17] Rivers, J. W., Newberry, G. N., Schwarz, C. J., & Ardia, D. R. (2017). Success despite the stress: violet‐green swallows increase glucocorticoids and maintain reproductive output despite experimental increases in flight costs. Functional Ecology, 31(1), 235-244.
[18] SAS Institute Inc. (2015a). The GENMOD Procedure. In: SAS/STAT® 14.1 User’s Guide. Cary, NC: SAS Institute Inc.
[19] SAS Institute Inc. (2015b). The LOGISTIC Procedure. In: SAS/STAT® 14.1 User’s Guide. Cary, NC: SAS Institute Inc.
[20] Šoltés, E., Zelinová, S., & Bilíková, M. (2019). General linear model: An effective tool for analysis of claim severity in motor third party liability insurance. Statistics in Transition New Series, 20(4), 13-32.
[21] Vojtková, M., & Stankovičová, I. (2020). Viacrozmerné štatistické metódy s aplikáciami v softvéri SAS. Bratislava: LetraEdu.
[22] Zhao, J., Wang, C., Totton, S. C., Cullen, J. N., & O’Connor, A. M. (2019). Reporting and analysis of repeated measurements in preclinical animals experiments. PloS one, 14(8), e0220879.
[2] Bae, J., Kim, Y. Y., & Lee, J. S. (2017). Factors associated with subjective life expectancy: comparison with actuarial life expectancy. Journal of Preventive Medicine and Public Health, 50(4), 240.
[3] Bergelt, M., Fung Yuan, V., O’Brien, R., Middleton, L. E., & Martins dos Santos, W. (2020). Moderate aerobic exercise, but not anticipation of exercise, improves cognitive control. PLoS One, 15(11), e0242270.
[4] Byrne, K. M., Adler, P. B., & Lauenroth, W. K. (2017). Contrasting effects of precipitation manipulations in two Great Plains plant communities. Journal of vegetation science, 28(2), 238-249.
[5] Colin, T., Bruce, J., Meikle, W. G., & Barron, A. B. (2018). The development of honey bee colonies assessed using a new semi-automated brood counting method: CombCount. PLoS One, 13(10), e0205816.
[6] Darlington, R. B., & Hayes, A. F. (2016). Regression Analysis and Linear Models: Concepts, Applications, and Implementation. Guilford Publications.
[7] Haans, A. (2018). Contrast analysis: A tutorial. Practical Assessment, Research, and Evaluation, 23(1), 9.
[8] Huzar-Novakowiski, J., & Dorrance, A. E. (2018). Genetic diversity and population structure of Pythium irregulare from soybean and corn production fields in Ohio. Plant disease, 102(10), 1989-2000.
[9] IDF (2019). IDF Diabetes Atlas. 9th edition. International Diabetes Federation webpage: https://www.diabetesatlas.org/en (accessed on 13.06.2021).
[10] Košíková, M., & Šoltés, E. (2020). Analýza ekvivalentného disponibilného príjmu slovenských domácností s využitím príkazov CONTRAST a LSMEANS v procedúre GLM. Ekonomika a informatika, 18(2), 86-98.
[11] Lemus, H. (2016). Demystifying the CONTRAST and ESTIMATE Statement. Webpage: https://www.lexjansen.com/wuss/2016/97_Final_Paper_PDF.pdf
(accessed on 12.06.2021).
[12] Littell, R. C., Stroup, W. W., & Freund, R. J. (2010). SAS for Linear Models. 4th ed. Cary, NC: SAS Institude Inc.
[13] NCZI (2021). Činnosť diabetologických ambulancií v Slovenskej republike 2019. Národné centrum zdravotníckych informácií webpage:
http://data.nczisk.sk/statisticke_vystupy/Diabetologia/Cinnost_diabetologickych_ambulancii_v_SR_2019_sprava_k_publikovanym_vystupom.pdf (accessed on 12.06.2021).
[14] Olivera-La Rosa, A., Chuquichambi, E. G., & Ingram, G. P. (2020). Keep your (social) distance: Pathogen concerns and social perception in the time of COVID-19. Personality and Individual Differences, 166, 110200.
[15] Pasta, D. J. (2005). Parameterizing models to test the hypotheses you want: Coding indicator variables and modified continuous variables. In Proceedings of the Thirtieth Annual SAS Users Group International Conference (Paper 212-30).
[16] Quigley, M. Y., Rivers, M. L., & Kravchenko, A. N. (2018). Patterns and sources of spatial heterogeneity in soil matrix from contrasting long term management practices. Frontiers in Environmental Science, 6, 28.
[17] Rivers, J. W., Newberry, G. N., Schwarz, C. J., & Ardia, D. R. (2017). Success despite the stress: violet‐green swallows increase glucocorticoids and maintain reproductive output despite experimental increases in flight costs. Functional Ecology, 31(1), 235-244.
[18] SAS Institute Inc. (2015a). The GENMOD Procedure. In: SAS/STAT® 14.1 User’s Guide. Cary, NC: SAS Institute Inc.
[19] SAS Institute Inc. (2015b). The LOGISTIC Procedure. In: SAS/STAT® 14.1 User’s Guide. Cary, NC: SAS Institute Inc.
[20] Šoltés, E., Zelinová, S., & Bilíková, M. (2019). General linear model: An effective tool for analysis of claim severity in motor third party liability insurance. Statistics in Transition New Series, 20(4), 13-32.
[21] Vojtková, M., & Stankovičová, I. (2020). Viacrozmerné štatistické metódy s aplikáciami v softvéri SAS. Bratislava: LetraEdu.
[22] Zhao, J., Wang, C., Totton, S. C., Cullen, J. N., & O’Connor, A. M. (2019). Reporting and analysis of repeated measurements in preclinical animals experiments. PloS one, 14(8), e0220879.
