Differences on the [dsquote]ventilatory efficiency[dsquote] to incremental exercise as estimated by VE/VCO2 at the anaerobic threshold and the slope of the linear VE-VCO2 relationship Source: Eur Respir J 2001; 18: Suppl. 33, 357s Year: 2001
A model based parametric analysis of the CO2 elimination versus expired volume curve for the computerized analysis of ventilatory efficiency Source: Eur Respir J 2002; 20: Suppl. 38, 106s Year: 2002
ROC curves for area under the curve analysis of hourly peak flows Source: Eur Respir J 2004; 24: Suppl. 48, 369s Year: 2004
Limitations of calculating “true” regression slope: impact on estimates of minimal important difference Source: Eur Respir J 2011; 37: 1296-1297 Year: 2011
Predicted values of VO2 max in relation to maximum workload Source: Annual Congress 2007 - Quality, sleep and exercise - the ingredients for a perfect life! Year: 2007
Comparison of predicted lung function values estimating height from alternative methods Source: Annual Congress 2008 - Beyond spirometry: the skills behind lung function testing Year: 2008
Effects of physiological variation on parameter estimates in a dynamic model of FeNO Source: International Congress 2018 – Clinical determinants of asthma and biomarkers Year: 2018
Derivation of a predicted equation for peak expiratory flow (PEF) values in adult Indian population using EU scale peak flow meter (PFM) Source: Annual Congress 2011 - Early diagnosis in primary care Year: 2011
Maximal aerobic capacity in ageing subjects: actual measurements versus predicted values Source: ERJ Open Res 2016 Year: 2016
Multi-ethnic reference values for spirometry for the 3–95-yr age range: the global lung function 2012 equations Source: Eur Respir J 2012; 40: 1324-1343 Year: 2012
Derivation of the predicted equation for peak inspiratory flow rate (PIFR) for children aged 4-15yrs in an Indian population Source: Annual Congress 2009 - Paediatric lung function, imaging and methodology in health and disease Year: 2009
Bronchodilatation and natural variation in maximal in-and expiratory flow volume curves in patients with stable COPD Source: Eur Respir J 2002; 20: Suppl. 38, 539s Year: 2002
The annual decline in FEV1 is steeper if it is estimated from baseline data using cross-sectional analysis than obtained by longitudinal analysis Source: Annual Congress 2008 - Air pollution effects on lung and heart Year: 2008
The correlation of annual rate of FEV1 decline with the temperature of expired air in COPD patients Source: Annual Congress 2008 - Prognosis in COPD Year: 2008
Deadspace estimation using breath-by-breath measurements of CO2 vs. molar mass Source: Eur Respir J 2007; 30: Suppl. 51, 45s Year: 2007
The ventilatory inefficiency measured as VE/VCO2 slope is increased in patients who fail to spontaneous breathing trial Source: International Congress 2018 – Epidemiology and prognostication of critically-ill patients Year: 2018
Hierarchical linear models for longitudinal change in COPD - is there an effect of differential dropout between treatment groups on estimated decline rates? Source: Eur Respir J 2001; 18: Suppl. 33, 151s Year: 2001
The relationship between transfer coefficient for carbon monoxide (KCO), weight and biochemical and morphological parameters in pulmonary emphysema Source: Eur Respir J 2004; 24: Suppl. 48, 122s Year: 2004
Monitoring of nonlinear respiratory elastance using a multiple linear regression analysis Source: Eur Respir J 2001; 17: 1158-1166 Year: 2001