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Data on empirically estimated corporate survival rate in Russia.

ABSTRACT: The article presents data on the corporate survival rate in Russia in 1991-2014. The empirical survey was based on a random sample with the average number of non-repeated observations (number of companies) for the survey each year equal to 75,958 (24,236 minimum and 126,953 maximum). The actual limiting mean error ?p was 2.24% with 99% integrity. The survey methodology was based on a cross joining of various formal periods in the corporate life cycles (legal and business), which makes it possible to talk about a conventionally active time life of companies' existence with a number of assumptions. The empirical survey values were grouped by Russian regions and industries according to the classifier and consolidated into a single database for analysing the corporate life cycle and their survival rate and searching for deviation dependencies in calculated parameters. Preliminary and incomplete figures were available in the paper entitled "Survival Rate and Lifecycle in Terms of Uncertainty: Review of Companies from Russia and Eastern Europe" (Kuzmin and Guseva, 2016) [3]. The further survey led to filtered processed data with clerical errors excluded. These particular values are available in the article. The survey intended to fill a fact-based gap in various fundamental surveys that involved matters of the corporate life cycle in Russia within the insufficient statistical framework. The data are of interest for an analysis of Russian entrepreneurship, assessment of the market development and incorporation risks in the current business environment. A further heuristic potential is achievable through an ability of forecasted changes in business demography and model building based on the representative data set.

SUBMITTER: Kuzmin EA

PROVIDER: S-EPMC5848143 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

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Data on empirically estimated corporate survival rate in Russia.

Kuzmin Evgeny A EA

Data in brief 20171216

The article presents data on the corporate survival rate in Russia in 1991-2014. The empirical survey was based on a random sample with the average number of non-repeated observations (number of companies) for the survey each year equal to 75,958 (24,236 minimum and 126,953 maximum). The actual limiting mean error ∆<i>p</i> was 2.24% with 99% integrity. The survey methodology was based on a cross joining of various formal periods in the corporate life cycles (legal and business), which makes it ...[more]

PMID: 29541672

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Project description:AIMS:There is uncertainty about which estimated glomerular filtration rate eGFR equation to use in older people with respect to the prediction of prognosis. Our aim was: (i) to compare the discriminative capacity of eGFR estimated by different equations with respect to all-cause mortality; and (ii) to identify the eGFR threshold at which the risk of mortality starts to increase for each equation. METHODS:We used data from 828 community-dwelling older adults aged >65 years enrolled in the InCHIANTI study. The outcome measure was all-cause mortality at 9 years. GFR was estimated by five different equations: Chronic Kidney Disease Epidemiological Collaboration (creatinine equation [CKD-EPIcre ], and creatinine and cystatin C equation [CKD-EPIcre-cys ]), Berlin Initiative Study (BIScre and BIScre-cys ) and full age spectrum. Sensitivity, specificity, areas under receiver operating curve (AUC) and C-statistics were used to compare their predictive capacity. RESULTS:The best mix of sensitivity, specificity, AUC and C-statistic value in predicting mortality was observed with BIS equations. BIScre (AUC 0.65, 95% CI 0.61-0.69) outperformed both CKD-EPIcre (AUC 0.60, 95% CI 0.56-0.64; P = 0.005) and full age spectrum (AUC 0.63, 95% CI 0.59-0.67; P = 0.002) in terms of predictivity. Similarly, BIScre-cys (AUC 0.67, 95% CI 0.63-0.71) outperformed CKD-EPIcre-cys (AUC 0.63, 95% CI 0.59-0.67; P = 0.01). AUC obtained with equations also including cystatin C were not significantly different compared with their creatinine-based counterparts. The risk of long-term mortality began to increase at under 65.6 mL/min/1.73 m2 for CKD-EPIcre-cys , 60.5 for CKD-EPIcre , 60 for BIScre-cys , 56.3 for BIScre and 55.2 for full age spectrum. CONCLUSIONS:The BIS equation discriminates the risk of all-cause mortality better than other equations in older community-dwelling individuals. The eGFR threshold under which mortality starts to increase could change as a function of the equation used. Geriatr Gerontol Int 2018; 18: 607-614.

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Data on empirically estimated corporate survival rate in Russia.

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Data on empirically estimated corporate survival rate in Russia.

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