Data and regression results
The effect of microaggregation on regression results: an application to Spanish innovation data
... con…dential data by ...microaggregated data can be used for rigorous empirical ...use data from the Technological Innovation Panel (PITEC) and compare regression results using both ...
17
New Results in ell_1 Penalized Regression
... penalty. We address a more recent development that generalizes previous methods by penaliz- ing a linear transformation of the coefficients of interest instead of penalizing just the coefficients themselves. We introduce ...
91
Understanding the Results of Multiple Linear Regression: Beyond Standardized Regression Coefficients
... We hope researchers will use this software to change their fundamental approach to conducting and interpreting linear regression analysis as applied to their data. Given the variety of weights avail- able, ...
25
Unweighted regression models perform better than weighted regression techniques for respondent-driven sampling data: results from a simulation study
... Poisson regression ‘accounting for clustering’ of participants within the same seed ...weighted regression and controlled for clustering; those authors used weighted regression and modelled ...
13
VIF Regression: A Fast Regression Algorithm For Large Data
... The results are summarized in Table 4 . Not surprisingly, stepwise regression gave the best performance overall, since it tries to build the sparsest possible model with strong collective predictability, ...
56
VIF Regression: A Fast Regression Algorithm for Large Data
... The results are summarized in Table 4 . Not surprisingly, stepwise regression gave the best performance overall, since it tries to build the sparsest possible model with strong collective predictability, ...
58
Regression Analysis of Count Data
... Chapter 2 covers issues of estimation and inference that are relevant to the rest of the monograph but also arise more generally. One issue concerns the two leading frameworks for parametric estimation and inference, ...
434
MULTIPLE REGRESSION WITH CATEGORICAL DATA
... 2. Of course, there is something artificial about choosing 0 and 1, for why couldn’t we use 1 and 2 or 33 and 55.6 or any other pair of numbers? 3. The answer is that we could. Using scores of 0 and 1, however, leads to ...
10
Data analysis and regression in Stata
... Under the hood this is a command‐language program, as are SPSS and SAS. Choosing options from the menu causes the appropriate code to be generated and executed. Most serious users of programs like Stata write their code ...
18
Bayesian regression for network data
... the data in steps, updating the sufficient statistics with each new ...large data sets by implementing parallel computing or “computing near the data” (Chen and Ripley, ...summary results are ...
84
Quantile regression with clustered data
... the results obtained using both the covariance matrix estimator proposed in Section 2 and a covariance matrix estimator obtained using 100 ...the results of these experiments we will follow Cochran (1952), ...
24
Using mixed effects logistic regression models for complex survey data on malaria rapid diagnostic test results
... Chigozie Louisa J. Ugwu *† and Temesgen T. Zewotir † Abstract Background: The effect of malaria in Nigeria is still worrisome and has remained a leading public health issue in the country. In 2016, Nigeria was the ...
10
The regression analysis of group truncated data
... the data generation process in this way and wish to examine the sampling distribution of our estimates with respect to this ...sparse data sets do not arise as often when there is extreme truncation if n is ...
180
Logistic Regression in Rare Events Data
... The main intended contribution of this paper is to integrate these two types of correc- tions, which have been studied mostly in isolation, and to clarify the largely unnoticed consequences of rare events data in ...
28
Flexible Regression Models for Survival Data
... ρ results in less information about the failure time in ...rate data tends to have larger variances estimation than low censored rate ...rate data, and the corresponding confidence interval becomes ...
121
ADVANCEMENTS IN STATNAMIC DATA REGRESSION TECHNIQUES
... Typical analysis of Statnamic data relies on measured values of force, displacement and acceleration. A soil model is not required, hence, the results are not highly user dependent. A new method of analysis ...
17
DATA MINING WITHIN A REGRESSION FRAMEWORK
... of data mining procedures can be considered within a regression ...new data mining methods is progressing very quickly, stimulated in part by relatively inexpensive computing power and in part by the ...
26
Smoothed Rank Regression with Censored Data
... simulation results, the robustness of ˆ β w may be counterbalanced by an increase in ...three regression estimators, the asymptotic standard error of these regression estimates were compared to the ...
29
Optimal designs for regression with spherical data
... for regression models with a spherical predictor of dimension m > 3 and explicitly determine optimal designs for series estimators in hyperspherical harmonic ...the results presented in this ...
34
Regression Analysis of Probability-Linked Data
... ‘true’ data values that is of primary interest. Our assumptions about the data linkage situation and a description of a simple model for linkage errors are set out in the following ...linear ...
72