Sentences with phrase «regression analysis resulted»

Not exact matches

To assess the robustness of the results of our regression analysis, we performed covariate adjustment with derived propensity scores to calculate the absolute risk difference (details are provided in the Supplementary Appendix, available with the full text of this article at NEJM.org).14, 15 To calculate the adjusted absolute risk difference, we used predictive margins and G - computation (i.e., regression - model — based outcome prediction in both exposure settings: planned in - hospital and planned out - of - hospital birth).16, 17 Finally, we conducted post hoc analyses to assess associations between planned out - of - hospital birth and outcomes (cesarean delivery and a composite of perinatal morbidity and mortality), which were stratified according to parity, maternal age, maternal education, and risk level.

The results of propensity - score - adjusted analyses were similar to the main findings of our regression analysis in magnitude and direction (Table 4).

Although the results of the meta - regression showed no evidence of significant heterogeneity between subgroups, summary association estimates were slightly different in subgroup analyses by study design and exposure assessment.

Vadhan pointed to regression, machine learning, and social network analysis as areas where there are very promising theoretical results, but challenges remain to making differential privacy work well in practice.

They used a statistical analysis known as mixed model regression to analyze the results.

No Association Between Response Rates and Survival in Newly Diagnosed Multiple Myeloma: Results of a recent meta - regression analysis of 63 randomized clinical trials out of Greece concluded that there was no association between conventional response outcomes, such as complete response (CR) or very good partial response (VGPR), and overall (OS) or progression - free survival (PFS) in patients with newly diagnosed multiple myeloma in populations of patients who received stem cell transplant and those who did not.

There was no association between conventional response outcomes, such as complete response (CR) or very good partial response (VGPR), and survival in patients with newly diagnosed multiple myeloma, according to the results of a meta - regression analysis published recently in the European Journal of Hematology.

Furthermore, Dr. Campbell tells us clearly that his analysis was subject to equally severe methodological limitations: he threw out or ignored contrary data, and drew inferences through complex multiple regressions that are likely to be the result of data mining.

Attempting multiple regression analysis on collinear variables can generate very peculiar results.

The results from regression analyses indicate that alcohol use, dating mood,.

We ran a regression analysis to estimate the relationship between states» absolute and relative poverty levels and student achievement, and the result was clear: absolute poverty is a powerful predictor of achievement, while the relationship between relative poverty and test scores in the U.S. is weak and not statistically significant (see Figure 5).

As a result, we use standard statistical techniques to account for the fact that the cutoff our regression discontinuity analysis exploits is «fuzzy» rather than sharp.

Mackinac uses a regression analysis accounting for the socioeconomic status of a school's students to predict academic performance, and grades schools by comparing the school's actual results to its predicted performance.

The regression analyses used to generate fitted values are weighted by the inverse of each observation's estimated variance to account for differences in the number of respondents from each state; unweighted regressions yield substantively similar results.

Results of a regression analysis indicate that neither LCE alone, LSE alone, or an aggregate efficacy measure account for significant variation in the three - year mean student achievement change score.

However, the reduction of the number of cases (to fewer than 10 per variable for the regression analysis) limits the reliability of this result.

Results of a standard regression analysis show that our aggregate measure of district leadership (using the adjusted R) explains 8 % of the variation in LSE, half of which is accounted for by Managing the instructional program; it also explains 40 % of the variation in LCE, of which significant contributions are made by Redesigning the organization (9 %) and Managing the instructional program (4 %).

This report presents the results of exploratory quasi-experimental analyses that use a regression discontinuity (RD) design to examine the relationships between certain features of NCLB accountability and subsequent student achievement in Title I schools in two states and three school districts.

Table 1 presents the results for separate regression analyses for elementary schools and the group of middle and high schools.

Table 5 provides an overview of the results of logistic regression analyses predicting attrition through Year 2 of the intervention.

Table 2 presents the results of the hierarchical regression analyses.

However, based upon the results seen in the first section, I could have run similar regression analysis on just about any of the 1,451 mutual funds in the domestic equity space, and the vast majority of funds would have had scatterplots that looked very similar to American or DFA.

And the results of regression analysis can be driven by outliers.

The analysis provides insight into the rate of regression toward the mean and the mean to which results regress.

Furthermore, the results suggested a one - to - one correspondence in trends between simulations and observations, but the analysis also gave a regression coefficient of 2 - 4 for natural forcings.

I wonder about two things: 1 / how much the resulting red curve differs from simple degree - 2 polynomial regression of the data 2 / what the result of this analysis would be if applied to periods 1910 - today or 1970 - today

In separate calculations, I obtain similar results by optimizing the pattern in distinct basins individually and then estimating the pattern in other basins by regression, suggesting that the global, same - sign character of the pattern is not an artifact of the EOF truncation used in the analysis.

Of course you could do a regression analysis of solar and temperature and see what kind of R value results.

The technical criticism here is that the Barker meta - analysis did not factor these differing cost assumptions in as independent variables when doing its regression analysis on IAM results.

My results shown in the table in the first link below agree well with those in Marvel using the run averages, but the individual runs in my decadal analysis are similar to those were I used yearly regression and show large trend differences with some forcing categories having very wide CI ranges.

If a temperature and a proxy time series share a common trend but are uncorrelated once the trends are removed, the regression analysis can give markedly different results.

In family care and dependency and prejudice on the life satisfaction of regression analysis, the research results show that degree of family care and dependence have linear regression significant on life satisfaction, this show that the degree of family care and dependency can predict life satisfaction to a certain extent.

Result of hierarchical regression analysis (dependent variable: process innovation performance).

Results from stepwise regression analysis revealed that OR < 1 when NSE concentration ranges from 2.00 ng / mL to 7.50 ng / mL, indicating that NSE was negatively related to MS in this range.

An examination of collinearity was undertaken comparing changes in the standard errors and magnitude and sign (positive or negative) of the bivariate analyses results with the standard bivariate regression models for each sex and the full hierarchical regression models.

Results: Distinct ACE items emerged for males, females, and those with self - identified sex and for ACE total scores in regression analysis.

It has been shown that inferences resulting from this analysis are virtually identical no matter which of these outcome measures is used.30 In addition to the covariates previously noted, the regression analysis was repeated to include annual household income, mother's treatment setting (primary vs psychiatric outpatient care), and treatment status of child during the 3 - month follow - up period in order to investigate the further potential confounding effects of these variables.

RESULTS: Hierarchical regression analyses revealed that long - term success (at least 5 % weight reduction by the 1 - year follow - up) versus failure (dropping out or less weight reduction) was significantly predicted by the set of psychosocial variables (family adversity, maternal depression, and attachment insecurity) when we controlled for familial obesity, preintervention overweight, age, and gender of the index child and parental educational level.

Application of multiple linear regression analysis has provided us the following results (Table 5).

Results from logistic regression analysis indicate that marital status differentially affects mortality, but not in a social vacuum.

The results of regression analysis indicated that psychological suzhi and its three dimensions were significant predictors for GHQ - 20 and its three subscales.

The results from logistic regression analyses were presented as OR, with the OR from the fixed - effect logistic regression (sibling comparison) having a cluster - specific interpretation.22 All the analyses were reported with 95 % CI.

The results of Pearson correlation analysis and hierarchical regression analysis revealed a statistically significant rela - tionship between job and life satisfaction, even after controlling for demographic and socioeconomic variables.

Tables IV, V and VI show the results of the logistic regression analyses at T1, T2 and longitudinally predicting ever smoking by demographics (Step 1), anti-smoking parenting practices (Step 2), attitudes, social influences and self - efficacy (Step 3), and intention (Step 4), in order to shed light on the process by which parenting practices operate on smoking behavior and the role of smoking - specific cognitions and intention herein.

Results: Regression analyses indicated that the interaction between relationship strengths and family stress explained 45 % of the variance in psychological symptoms.

The results were analyzed using t - test, the Pearson correlation and the stepwise model of multiple regression analysis.

The first columns of Tables IV, V and VI show the results of the regression analyses with age and gender.

Final results of hierarchical regression analyses for time to complete and number of excess moves on Tower of London task.

Multiple logistic regression analyses (Table 3) yielded the following results after controlling for age, sex, race and ethnicity, and socioeconomic background variables.

Besides, results of regression analysis indicated that among the predictor variables, only impulsivity can predict the amount of mobile phone use.