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[PDF] Top 20 A comparison of two approaches for power and sample size calculations in logistic regression models

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A comparison of two approaches for power and sample size calculations in logistic regression models

A comparison of two approaches for power and sample size calculations in logistic regression models

... DOWN FOR ARTICLE Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our ...agents, and our licensors make no ... See full document

30

Sample size calculations for logistic and Poisson regression models

Sample size calculations for logistic and Poisson regression models

... proposed for improving sample size calculations for logistic and Poisson regression models by incorporating the limiting value of the maximum ... See full document

7

A comparative study of power and sample size calculations for multivariate general linear models

A comparative study of power and sample size calculations for multivariate general linear models

... Sample size calculations and power analyses are often critical for researchers to address specific scientific hypotheses and confirm credible treatment ...is of ... See full document

24

On power and sample size calculations for likelihood ratio tests in generalized linear models

On power and sample size calculations for likelihood ratio tests in generalized linear models

... KEY WORDS: Generalized linear models; Likelihood ratio test; Logistic regression; Noncentral chi-square; Poisson regression; Sample size; Score test; Statistical power.. Intro[r] ... See full document

5

A unified approach to power calculation and sample size determination for random regression models

A unified approach to power calculation and sample size determination for random regression models

... Procedures for power and sample size determinations in fixed regression models have been developed for years but none seems to have provided a ... See full document

14

Power and sample size calculations for multivariate linear models with random explanatory variables

Power and sample size calculations for multivariate linear models with random explanatory variables

... Conclusions For the power and sample size calculations within the framework of multivariate linear mod- els, this article provides updated description of existing ... See full document

12

Detecting Interaction Effects in Moderated Multiple Regression With Continuous Variables Power and Sample Size Considerations

Detecting Interaction Effects in Moderated Multiple Regression With Continuous Variables Power and Sample Size Considerations

... copies of the programs are available on request and can also be downloaded from the website: ...Because of the prevalence of the fixed modeling setup and the close resemblance between ... See full document

20

On tests of treatment-covariate interactions: An illustration of appropriate power and sample size calculations

On tests of treatment-covariate interactions: An illustration of appropriate power and sample size calculations

... Department of Management Science, National Chiao Tung University, Hsinchu, Taiwan * ...appraisals of treatment-covariate interaction have theoretical and substantial implica- tions in all ... See full document

15

Sample size determination for confidence intervals of interaction effects in moderated multiple regression with continuous predictor and moderator variables

Sample size determination for confidence intervals of interaction effects in moderated multiple regression with continuous predictor and moderator variables

... multiple regression (MMR) has been widely employed to analyze the interaction or moderating effects in behavior and related disciplines of social ...Much of the methodological ... See full document

13

Power and sample size determinations for theWilcoxon signed-rank test

Power and sample size determinations for theWilcoxon signed-rank test

... nominal power and simulated power. For ease of comparison, the discrepancy between nominal power and simulated power is also reported and is termed as ... See full document

10

On power and sample size determinations for the Wilcoxon-Mann-Whitney test

On power and sample size determinations for the Wilcoxon-Mann-Whitney test

... medium and large deviations from the null ...justified for sufficiently small location shift alternatives and may become quite unreliable as the location shift ...analysis of Noether’s method ... See full document

14

Comparison of artificial neural network and logistic regression models for predicting in-hospital mortality after primary liver cancer surgery 

Comparison of artificial neural network and logistic regression models for predicting in-hospital mortality after primary liver cancer surgery 

... Materials and Methods Ethics Statement This study analyzed administrative claims data obtained from the Taiwan Bureau of National Health Insurance ...payer in Taiwan, the BNHI data set was assumedly ... See full document

6

Confidence intervals and sample size calculations for the standardized mean difference effect size between two normal populations under heteroscedasticity

Confidence intervals and sample size calculations for the standardized mean difference effect size between two normal populations under heteroscedasticity

... metric of integer sample sizes, the achieved precision levels associated with the presented sample sizes (N EW1 , N EW2 ) and (N TP1 , N TP2 ) should be less than or greater than the nominal ... See full document

13

Power and sample size estimation in microarray studies

Power and sample size estimation in microarray studies

... conducting a microarray experiment, one important issue that needs to be determined is the number of arrays required in order to have adequate power to identify differentially expressed ... See full document

9

Sample size requirements for interval estimation of the strength of association effect sizes in multiple regression analysis

Sample size requirements for interval estimation of the strength of association effect sizes in multiple regression analysis

... is a considerable recent literature pertaining to the illuminating applications of effect sizes and confi dence intervals in quantitative ...desirability of achieving required precision ... See full document

6

A comparison of effectiveness and cost between two models of care for individuals with schizophrenia living in Taiwan.

A comparison of effectiveness and cost between two models of care for individuals with schizophrenia living in Taiwan.

... Based on the health care provider's analytic perspective, four effectiveness indicators and four service costs were identified and measured, and the ratio of average cost value to eff[r] ... See full document

1

Comparison of TSCS regression and neural network models for panel data forecasting: debt policy

Comparison of TSCS regression and neural network models for panel data forecasting: debt policy

... studies of variations in debt ratios across firms have analyzed important determinants of capital structure using statistical ...nonlinear models to examine the determinants and make ... See full document

7

Confidence intervals and sample size calculations for the weighted eta-squared effect sizes in one-way heteroscedastic ANOVA

Confidence intervals and sample size calculations for the weighted eta-squared effect sizes in one-way heteroscedastic ANOVA

... effect size θ. In other words, the resulting two-sided confidence interval may be too wide when the population weighted effect size is small, whereas the reported interval estimate is probably ... See full document

13

A novel classifier for influenza A viruses based on SVM and logistic regression

A novel classifier for influenza A viruses based on SVM and logistic regression

... kinds of Hurst exponents for each protein sequence is ...SVM and logistic regression classifier. For evaluating the performance of this new algorithm, a real data ... See full document

2

Syndrome in Patients Treated With Second-Generation Antipsychotics_ Artificial Neural Network and Logistic Regression Models

Syndrome in Patients Treated With Second-Generation Antipsychotics_ Artificial Neural Network and Logistic Regression Models

... advancement in the treatment of ...efficacy for positive symptoms, superior efficacy for negative symptoms, favorable effects on cognitive function, lower risk of extrapyramidal side ... See full document

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