Cross-Sectional Regression Analysis
Volume based referral for cardiovascular procedures in the United States: a cross sectional regression analysis
... We then estimated the number of deaths that could be prevented by the universal adoption of hospital volume minimums using mortality estimates obtained from the procedure-specific multivariable logistic regression ...
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Within- and between-group regression for improving the robustness of causal claims in cross-sectional analysis
... multilevel regression analysis into an advantage for in-depth analysis supporting or refuting causal claims in cross sectional ...
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Pricing Model Performance and the Two-Pass Cross-Sectional Regression Methodology
... Since the betas are estimated with error in the first-pass time series regressions, an errors-in- variables (EIV) problem is introduced in the second-pass CSR. Measurement errors in the betas cause two problems. The ...
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Estimation of Heteroscedasticity Effects in a Classical Linear Regression Model of a Cross-Sectional Data
... It is pertinent to note that the results of both the White and Newey heteroscedas- ticity test for the three years do not change the point estimates of the parameters from the ones obtained in the OLS analysis, ...
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Cross-sectional analysis of risk-neutral skewness
... of cross-sectional regressions Exhibit 5 presents the results of multivariate cross-sectional regressions defined in ...The regression is run once a week and the means of the weekly ...
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Cross-sectional Dependence in Panel Data Analysis
... To this end, Ahn, Lee and Schmidt (2006) propose determining the number of factors using a sequential method, based on GMM and Sargan’s (1958) or Hansen’s (1982) test statistic. Their method is appropriate for …xed T . ...
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Workload and influencing factors in non emergency medical transfers: a multiple linear regression analysis of a cross sectional questionnaire study
... linear regression modelling identified several distinct factors in our data set that im- pact workload significantly and could therefore endanger this balance and lead to output ...
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Health Risk Factors And Health Care Systems In Latin America And The Caribbean: A Cross-Sectional Multiple Regression And ANOVA Analysis
... (LAC). Cross-sectional multiple regression and Analysis of Variance (ANOVA) are used to study the association between health risk factors such as incidence of tuberculosis and diabetes, and ...
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Cross-sectional analysis of university technology commercialization initiatives
... the analysis in Section ...survey analysis done by Reddy (2007) that found most faculty at Kansas State University were not even aware of an intellectual property policy existed and that inventors could ...
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Factors associated with inflammation markers, a cross-sectional analysis
... We estimated geometric means for each cytokine adjusted for study (NYUWHS-OVCA, NYUWHS-NHL, NSHDS, ORDET), age (continuous), and BMI (continuous, log 2 - transformed) within categories of a number of descriptive ...
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IMPACT OF DISTANCE ON BANGLADESHI EXPORT: A CROSS SECTIONAL ANALYSIS
... above regression and descriptive analysis, it is clear that Bangladesh is doing relatively good with the partners which are geographically far from ...
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A comparison of time dependent Cox regression, pooled logistic regression and cross sectional pooling with simulations and an application to the Framingham Heart Study
... of potential risk factors to the development of cardiovas- cular disease [5]. Since risk factors for disease have been collected prospectively and repeatedly measured over time (every 2–4 years), the FHS provides an ...
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Patterns of Hba1c Level in Diabetic Patients Using Two Methods of Regression- A Cross-Sectional Study
... of regression analysis, spline regression can be an appropriate method to show the relationship between predictor and response variables in nonlinear ...Spline regression is not usually used ...
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Patient experience of general practice and use of emergency hospital services in England: regression analysis of national cross-sectional time series data.
... year cross-sectionally; 19-23 31-34 cross-sectional analyses cannot examine temporal relationships between variables and can be more susceptible to residual ...
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A cross sectional analysis of ITN and IRS coverage in Namibia in 2013
... Poisson regression analyses were carried out exploring the relationship between household interventions and PfPR 2–10 , with fully adjusted models adjusting for wealth and residence type and accounting for ...
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Cross sectional analysis of pricing efficiency, liquidity, and information asymmetry
... the cross-sectional regression in the intraday ...a cross-sectional ...the cross-sectional variation in efficient ...
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Factors Affecting the Distribution of CERs: A Cross Sectional Empirical Analysis
... the regression result, this paper is likely uncover the fact that although GHG reduction potentials must be one of crucial factors to receive a larger amount of CERs in general, it has not been an important factor ...
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Electromyography and sonomyography analysis of the tibialis anterior: a cross sectional study
... Methods: Twenty-seven healthy young adults performed the foot dorsiflexion test on a device designed ad hoc. EMG variables were maximum peak and area under the curve. Muscular architecture variables were muscle thickness ...
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A Cross-Sectional Analysis of Bronchodilator Prescribing in COPD and Cardiovascular Comorbidity
... descriptive analysis, the means (with standard error) and proportions of demographic, clinical and medication utilization characteristics for the study population were ...logistic regression to obtain ...
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Pricing model performance and the two-pass cross-sectional regression methodology
... Raymond Kan, Cesare Robotti, and Jay Shanken Working Paper 2009-11 March 2009 Abstract: Since Black, Jensen, and Scholes (1972) and Fama and MacBeth (1973), the two-pass cross- sectional regression ...
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