ic 16 data analysis statistical software (STATA Corporation)
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ic 16 data analysis statistical software
Ic 16 Data Analysis Statistical Software, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 35135 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/statistics+data+analysis+software/STATA+16%2E0/pm41455905-82-12-11
Average 99 stars, based on 35135 article reviews
Ic 16 Data Analysis Statistical Software, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 35135 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/statistics+data+analysis+software/STATA+16%2E0/pm41455905-82-12-11
Average 99 stars, based on 35135 article reviews
ic 16 data analysis statistical software - by Bioz Stars,
2026-09
99/100 stars
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Software:Article Title: Individual responses in biomarkers of health after marathon and half-marathon running: is age a factor in troponin changes? Article Snippet: Although strenuous physical activity is known to cause notable perturbations in blood chemistries, only few studies exist observing exercise-induced simultaneous changes in biomarkers of health status.. We compared markers of muscle, cardiovascular, renal, hepatic and inflammatory status at baseline and at 3-h and at 48-h postrace in recreational runners who successfully completed either a marathon (mean age 27±13 years, finishing time 199±8min, n1⁄4 4) or half-marathon (mean age 38±13 years, finishing time 131±6min, n1⁄4 6) race.. Significant postrace changes occurred in myoglobin (p< .001), creatinine kinase (p< .01), CK-MB-mass (p< .01), high sensitivity troponin I (p< .05), high sensitivity troponin T (p< .05), brain natriuretic peptide (p< .001), creatinine (p< .01), aminotransferase enzymes (p< .001 for AST and p< .01 for ALT), uric acid (p< .001) cortisol (p< .01), C-reactive protein (p< .05), leukocytes (p< .001), haematocrit (p< .05) and mean corpuscular volume (p< .01). Article Title: Treatment regimens, patient reported outcomes and health-related quality of life in children with moderate and severe hemophilia A in China: using real-world data. Article Snippet: .. The Article Title: Family or Non-Family Ownership Type Impact, in the enterprise risk management: a contingency perspective Article Snippet: .. To test H1, robust OLS (Ordinary Least Squares) regressions were performed, controlling for sector and year, using Article Title: Lysosomes and trivalent arsenic treatment in acute promyelocytic leukemia. Article Snippet: .. Stata Article Title: Overview of Patients with Hemophilia in China: Demographics, Diseases, Treatment, and Health Status Article Snippet: .. All the analyses were performed using the Article Title: Family or Non-Family Ownership Type Impact, in the enterprise risk management: a contingency perspective Article Snippet: To test H1, robust OLS (Ordinary Least Squares) regressions were performed, controlling for sector and year, using Statistics Data Analysis software (Stata® 13.0), as follows: ERMI = β0 + β1INAM + β2TAMA + β3CRES + fixed effects year + fixed effects industry + ε Equation (7) ERMI = β0 + β1CMPX + β2TAMA + β3CRES + fixed effects year + fixed effects industry + ε Equation (8) ERMI = β0 + β1CONC + β2TAMA + β3CRES + fixed effects year + fixed effects industry + ε Equation (9) Where: ERMI = Enterprise Risk Management Index INAM = Environmental Uncertainty CMPX = Complexity CONC = Sector Competition TAMA = Company Size CRES = Company Growth ε = Regression error To test H2, the impact of the contingency moderator variable on the relationship between ERMI (which is used as a proxy for enterprise risk management according to Equation 1) and the contingency factors was verified. .. Robust Ordinary Least Squares (OLS) regressions were adopted, controlling for sector and year, using Comparison:Article Title: Lysosomes and trivalent arsenic treatment in acute promyelocytic leukemia. Article Snippet: .. Stata Control:Article Title: Family or Non-Family Ownership Type Impact, in the enterprise risk management: a contingency perspective Article Snippet: To test H1, robust OLS (Ordinary Least Squares) regressions were performed, controlling for sector and year, using Statistics Data Analysis software (Stata® 13.0), as follows: ERMI = β0 + β1INAM + β2TAMA + β3CRES + fixed effects year + fixed effects industry + ε Equation (7) ERMI = β0 + β1CMPX + β2TAMA + β3CRES + fixed effects year + fixed effects industry + ε Equation (8) ERMI = β0 + β1CONC + β2TAMA + β3CRES + fixed effects year + fixed effects industry + ε Equation (9) Where: ERMI = Enterprise Risk Management Index INAM = Environmental Uncertainty CMPX = Complexity CONC = Sector Competition TAMA = Company Size CRES = Company Growth ε = Regression error To test H2, the impact of the contingency moderator variable on the relationship between ERMI (which is used as a proxy for enterprise risk management according to Equation 1) and the contingency factors was verified. .. Robust Ordinary Least Squares (OLS) regressions were adopted, controlling for sector and year, using |