Source: Annual Congress 2003 - Epidemiology of tuberculosis in adults and children
Disease area: Respiratory infections



Rating:

Share or cite this content

Citations should be made in the following way:
O. V. Chizhova (Moscow, Russia). Tuberculosis epidemiological index forecast by means of crosscorrelation and multiple regression analyses. Eur Respir J 2003; 22: Suppl. 45, 1345

Member's Comments

No comment yet.

Related content which might interest you: Tuberculosis epidemiological index correlations revealed by crosscorrelation analysis Source: Eur Respir J 2003; 22: Suppl. 45, 344s Year: 2003 Estimation of the prognostic value of respiratory and metabolic parameters in treatment of shock patients by means of logistic regression analysis Source: Eur Respir J 2002; 20: Suppl. 38, 82s Year: 2002 Limitations of calculating “true” regression slope: impact on estimates of minimal important difference Source: Eur Respir J 2011; 37: 1296-1297 Year: 2011 Comparison of regression models for developing spirometric reference values Source: International Congress 2016 – Functional assessment of the airways Year: 2016 Implementing GLI-2012 regression equations Source: Global Lung Function Initiative Year: 2013 Statistical analysis of exacerbation rates in COPD: TRISTAN and ISOLDE revisited Source: Eur Respir J 2008; 32: 17-24 Year: 2008 Aftermath of optimal CPAP prediction models using various linear, logistic regression and artificial neural networks (ANN) in OSA Source: Annual Congress 2010 - Screening for sleep-disordered breathing Year: 2010 Linear regression analysis of respiratory resistance measured by the forced oscillation technique Source: Eur Respir J 2001; 18: Suppl. 33, 258s Year: 2001 High-dimensional multivariable analysis of asthma and its co-morbidities Source: Virtual Congress 2020 – Precision endotyping of asthma: time for action Year: 2020 A multivariate geo-statistical Bayesian model for analyzing the spatial prevalence of COPD: Implications on risk factors Source: International Congress 2015 – Epidemiology of respiratory disease Year: 2015 A comparison of unsupervised methods based on dichotomous data to identify clusters of airways symptoms: latent class analysis and partitioning around medoids methods. Source: International Congress 2018 – Airway disease: recent discoveries Year: 2018 Changing trends in age-adjusted pulmonary fibrosis mortality in the USA: a joinpoint regression analysis Source: Eur Respir J, 54 (1) 1900364; 10.1183/13993003.00364-2019 Year: 2019 Predictor clinical factors of length of stay in community-acquired pneumonia. A multiple regression analysis Source: Eur Respir J 2001; 18: Suppl. 33, 189s Year: 2001 The best statistical approaches for analysis of GWIS Source: ERS Research Seminar 2015 Year: 2015 Monitoring of nonlinear respiratory elastance using a multiple linear regression analysis Source: Eur Respir J 2001; 17: 1158-1166 Year: 2001 Causal statistical models for analysis of multi-generation data: An analysis of father’s overweight and offspring height and lung function Source: Virtual Congress 2020 – Does exposure long before conception influence future respiratory health? Year: 2020 External validation of the French predictive model to estimate PAH survival: A REVEAL analysis Source: Annual Congress 2012 - Pulmonary circulation: clinical databases and registries Year: 2012 Survival analysis can help determine which TLco prediction equations to use for patient data Source: Annual Congress 2011 - Highlights in lung function 2011 Year: 2011 Multiple large clusters of tuberculosis in London: a cross-sectional analysis of molecular and spatial data Source: ERJ Open Res, 3 (1) 00098-2016; 10.1183/23120541.00098-2016 Year: 2017