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 12 of 12 for “"continuous outcomes"”.
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Causal Inference with Survival Outcomes via Orthogonal Statistical Learning
… However, there were some gaps regarding survival outcomes. First, overlap-weighted effect estimators based on machine learning nuisance models were not available for such outcomes. Thus, researchers wishing to mitigate bias and variance from poor overlap had to accept potential bias from nuisance …
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Covariate-adjusted ROC regressions and the extensions in trend tests.
… diagnostic ability as a binary classifier for continuous outcomes. A generalized linear model (GLM) framework enabled one to investigate covariate effects to model the ROC using parametric and semi-parametric regression methods. The latest addition to this ongoing investigation into problems of …
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Examining Group Differences Between Suicidal Veterans Classified as Wish to Live, Ambivalent, or Wish to Die Using the Suicide Index Score
… were used to examine patient characteristics for continuous outcomes and chi-square analyses were used for nominal outcomes; however, no group differences were found. T-tests were then used to measure between-group differences on the dependent variables. Individuals classified in the WTD group …
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BLINDED EVALUATIONS OF EFFECT SIZES IN CLINICAL TRIALS: COMPARISONS BETWEEN BAYESIAN AND EM ANALYSES
… treatment arms, for both categorical and continuous outcomes. Procedures that allow a blinded estimation of the treatment effect, using knowledge of trial operational characteristics, have been suggested in the literature. Clinical trials are designed to evaluate effects of one or more …
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EVALUATION, DEVELOPMENT, AND EXTENSION OF FLEXIBLE PARAMETRIC MODELS FOR THE DISTRIBUTIONAL ANALYSIS OF CENSORED AND NON-CENSORED DATA: A FRAMEWORK FOR MODELING AND COMMUNICATING THE FULL DISTRIBUTION OF HEALTH OUTCOMES.
… Risk) and the distributional analysis of health outcomes beyond simple summary statistics. Methods: The work explores two primary modeling pathways: (1) indirect estimation via flexible hazard-based models (Discrete-Time Hazard and Piece-wise Exponential models) and (2) direct estimation using …
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Essays on Tree-based Methods for Prediction and Causal Inference
… extendable to multiple treatments, multivariate outcomes, and panel data methods. The third chapter of this thesis describes how the methods introduced in the second chapter can be generalized from regression and treatment effect estimation for continuous outcomes, to a range of models with …
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Curtailed phase II binary outcome trials and adaptive multi-outcome trials
… fact that clinical trials often measure multiple outcomes of interest. Existing multi-outcome designs focus almost entirely on evaluating whether all outcomes show evidence of efficacy or whether at least one outcome shows evidence of efficacy. While a small number of authors have provided …
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Encapsulated butyric acid as a functional ingredient in canine health
… was analyzed in SAS 9.4 using PROC MIXED for continuous outcomes and PROC GLIMMIX for non-normal variables such as fecal score and fecal pH. Fixed effects included treatment, day, and their interaction, with dog as a random effect and day specified as a repeated measure. Assumptions were …
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CLINICAL EFFICACY OF XENOGENEIC COLLAGEN MATRIX AS A COMPARATIVE ALTERNATIVE TO FREE GINGIVAL GRAFT IN AUGMENTING KERATINIZED MUCOSA WIDTH AROUND DENTAL IMPLANTS: A SYSTEMATIC REVIEW AND META-ANALYSIS
… and were included in the meta-analysis. The continuous outcomes were expressed as standardized means for KMW and PDs with a confidence interval (CI) of 95%. Outcome measures were statistically evaluated at the subject level. A fixed-effects model was used to pool the results from more than …
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Effects and resource implications of one anastomosis gastric bypass procedure in comparison to sleeve gastrectomy and roux n y gastric bypass in obese patients: A systematic review and meta-analysis
… calculated the risk ratio (RR) for dichotomous outcomes and mean difference (MD) for continuous outcomes with 95% confidence intervals and used the random - effects model. Where meta-analysis was inappropriate or not possible a narrative synthesis was given. We used the Cochrane ROB-2 tool to …
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Flexible models and methods for longitudinal and multilevel functional data
… subject-specific curves and predict individual outcomes is desirable. In our proposed model, we decompose the outcome into a sum of several terms: a population mean function, covariates with time-varying coefficients, functional subject-specific random effects, and a residual measurement error …
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Modifications and extensions of the logistic regression and Cox model
… the relationship between covariates and some outcomes. A choice of the appropriate model depends on the outcome and the research objectives, such as linear models for continuous outcomes, logistic models for binary outcomes and the Cox model for time-to-event data. In epidemiological, medical, …