Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 32 for “"Type I error rate"”.
-
The Impact Of Nested Testing On Experiment-Wise Type I Error Rate
… the initial risk that must be considered is a Type I error, also known as a false positive. The Type I error rate is set by nominal alpha, assuming all underlying conditions of the statistic are met. Experiment-wise Type I error inflation occurs when multiple tests are conducted overall for a …
-
Shared Haplotype Length Regression and Its Application
… of a novel statistical approach based on haplotype sharing concepts. The approach is motivated by the fact that a new variant in a population arising via mutation or migration will reside on a unique haplotype. Assuming the new allele does not become extinct, recombination events at each …
-
Impact of data-dependent model selection on inference
… the data-dependent model selection approach on type I error rate through simulations. In simulations, I generate data, assuming both linear and non-linear dependence of hazard on a continuous covariate as well as no association. The generated data are then used to estimate a series of models …
-
The Nursing assessment of readiness for instruction of breast self-examination instrument (NARIB): Instrument development
… was set at .01 to control for the inflation of type I error rate. Internal consistency reliability was computed using the Kuder-Richardson 20. Statistical analysis of the hypotheses indicated the following findings: There were no statistically significant differences on the Knowledge and …
-
Hierarchical Linear Modeling versus visual analysis of single subject design data
… design data because of a presumed low Type I error rate and consistency across raters. However, research has found it less accurate and reliable than typically assumed. Many statistics have been proposed as aids for visual analysis, but most suffer from limitations either due to methods …
-
Effect of Unequal Sample Sizes on the Power of DIF Detection: An IRT-Based Monte Carlo Study with SIBTEST and Mantel-Haenszel Procedures
… procedures for detection of DIF of moderate and large magnitudes. Item parameters were estimated by, and generated with the 2PLM using WinGen2 (Han, 2006). MULTISIM was used to simulate ability estimates and to generate response data that were analyzed by SIBTEST. The SIBTEST procedure …
-
Robust Regression Methods For Massively Decayed Intelligence Data
… test whether these techniques will preserve the Type I error rate in the t-test of standardized beta. </p> <p>The results of these Monte Carlo simulations (sample size n=30,90,120,240,480 and 100,000 iterations) showed that the least trimmed squares method should be avoided under any circumstance …
-
An Examination of the Improved Wald Test for Differential Item Functioning Detection with Multiple Groups
… examined in the context of statistical power and Type I error rate under various combinations of experimental conditions: (a) the number of test groups, (b) the number of candidate items with DIF, and (c) the number of anchor items with DIF. The results indicate that Wald-1 performs well in the …
-
Accurate Identification of Significant Aberrations in Cancer Genome: Implementation and Applications
… subsequent copy number analyses. In order to accurately identify significant aberrations in contaminated cancer genome, we develop a Java AISAIC package (Accurate Identification of Significant Aberrations in Cancer) that incorporates recent novel algorithms in the literature, BACOM (Bayesian …
-
Preparing, Executing, and Designing Complex Clinical Trials Using Simulations
… for biased estimates resulting in inflated type I error or decreased power due to treatment outcome time trends or drift. When originally planned, our primary analysis did not specify an adjustment for response drift, so a post-hoc analysis with a time-adjusted model was fit using the …
-
Composite Likelihood: Multiple Comparisons and Non-Standard Conditions in Hypothesis Testing
… maintain good control of the familywise type I error rate in the presence of intra-cluster correlation, whereas ignoring the correlation leads to invalid performance. Using data arising from a depression study and also kidney study, we show how our composite likelihood approach makes an …
-
Infection with MCPyV, KIV, WUV, and HPV as potential risk factors for lung cancer
… assess methods for analyzing LBMA data, we generated 10,000 Monte Carlo-type simulations of log-normal antibody distributions (exposure) with 200 cases and 200 controls (outcome). We estimated type I error rates, statistical power, and bias associated with three types of analytic techniques: (a) …
-
Simulating Statistical Power Curves with the Bootstrap and Robust Estimation
… tests are not robust with respect to power and type II error. However, relatively little attention has been paid in the psychological literature to the effect that non-normality and outliers have on the power of a given statistical test (Wilcox, 1998). Robust measures of location exist that …
-
Comparison of Trend Detection Methods
… use. Attention is given to comparing estimated Type I error rates and power across several trend detection methods. This was accomplished through an extensive simulation study. Monte Carlo simulations and randomization tests were employed to construct an empirical sampling distribution for the …
-
Comparison of Trend Detection Methods
… use. Attention is given to comparing estimated Type I error rates and power across several trend detection methods. This was accomplished through an extensive simulation study. Monte Carlo simulations and randomization tests were employed to construct an empirical sampling distribution for the …
-
Bayesian Adaptive Designs For Proof-of-Concept Trials and Platform Trials
… its slow progress, high cost, and high failure rate. Fitting one standard strategy to all different trials also harms its reliability in decision-making because it doesn’t fully use all available resources and information in each trial. It’s crucial to develop novel phase II trial designs to …
-
Shanghai kindergarten teachers' beliefs about engagement in Developmentally Appropriate Practice in the context of educational reform
… beliefs and their practice, and whether the type of school (public versus private) moderates the belief-practice relationship. Applying a correlational research design, this study measured kindergarten teachers’ beliefs and practices by the instrument of Teacher Beliefs and Practices Survey …
-
Evaluating Alpha Spending Functions Applied to Observational Time-to-Event Analysis
… is shown to restore proper control of the Type I error rate. Second, the study compares the performance of the Pocock and O’Brien-Fleming alpha spending functions, revealing that the Pocock method can become highly conservative under conditions of high censoring or small sample sizes. …
-
Choosing Between the Fixed-, Random-, and Mixed-Effects Model in Meta-Analysis: An Analysis of Existing and New Model Selection Methods
… terms of their bias, variance, and mean-squared error. Third, four different homogeneity tests are examined in terms of their Type I error and power. Finally, a bottom-up and a top-down model selection strategy are outlined and compared to determine their accuracy in identifying the correct …
-
Impacts of Ignoring Nested Data Structure in Rasch/IRT Model and Comparison of Different Estimation Methods
… 3-level analysis. As for the root mean squared errors (RMSE), three methods performed without substantive differences for item difficulty estimates and ability variance estimates in both 2-level and 3-level analysis, except for level-2 ability variance estimates in 3-level analysis. Generally, …
Page 1 of 2