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Showing 1 to 20 of 727 for “"confounding"”.

  1. Accounting for spatial confounding in large scale epidemiological studies

    … spatially-varying factors can lead to confounding bias in estimates of associations. In this dissertation, I present a comparison of existing and new methods that use thin plate regression splines to mitigate spatial confounding bias for both cross-sectional and longitudinal analyses. I …

    colostate Repository record for Accounting for spatial confounding in large scale epidemiological studies (opens in a new tab)

  2. Controlling for confounding network properties in hypothesis testing and anomaly detection

    … network statistics that are dependent on confounding factors like the total number of nodes or edges can lead to incorrect conclusions (e.g., false positives and false negatives). In this dissertation we describe the challenges that face anomaly detection in dynamic network streams …

    purdue-thes Repository record for Controlling for confounding network properties in hypothesis testing and anomaly detection (opens in a new tab)

  3. An Examination of the Confounding in Measures of Foreign Language Listening Comprehension

    … listening test as an alternative to reduce the confounding problem in the traditional listening test.

    uiuc Repository record for An Examination of the Confounding in Measures of Foreign Language Listening Comprehension (opens in a new tab)

  4. Towards Understanding Human-aligned Neural Representation in the Presence of Confounding Variables

    Deep Neural Networks (DNNs) find one out of many possible solutions to a given task such as classification. This solution is more likely to pick up on spurious features and low-level statistical patterns in the train data rather than semantic features and highlevel abstractions, resulting in poor …

    mit Repository record for Towards Understanding Human-aligned Neural Representation in the Presence of Confounding Variables (opens in a new tab)

  5. Isolating Confounding Abiotic and Biotic Effects on the Phenotype on Physa Acuta Snails

    <p>Organisms match their phenotypes to prevailing environmental conditions leading to habitat specific polymorphisms. Polymorphisms arise from genetic divergence, phenotypic plasticity, or a combination of both processes. I examined the presence of habitat-specific polymorphism in Physa acuta …

    columbus-state Repository record for Isolating Confounding Abiotic and Biotic Effects on the Phenotype on Physa Acuta Snails (opens in a new tab)

  6. Physical Activity and C-reactive Protein Levels: The Confounding Role of Body Fat Percentage

    The purpose of the present study was to examine the cross-sectional relationship between physical activity and C-reactive protein (CRP) in 211 middle-aged women (43.1 + 3.0 years). A secondary objective was to determine the extent to which body fat percentage operated as a confounder in the …

    byu Repository record for Physical Activity and C-reactive Protein Levels: The Confounding Role of Body Fat Percentage (opens in a new tab)

  7. Machine Learning Approaches for Modeling and Correction of Confounding Effects in Complex Biological Data

    … in biological data that are both related to confounding effects. The first is the intrinsic complexities of the data. An observed sample could be the mixture of multiple underlying sources and we may be only interested in one or part of the sources. The second type of complexities come from …

    vt Repository record for Machine Learning Approaches for Modeling and Correction of Confounding Effects in Complex Biological Data (opens in a new tab)

  8. Count-Regression-Based Empirical Causal Analysis from a Potential Outcomes Perspective: Accounting for Boundedness, Discreteness, Dispersion and Unobservable Confounding

    … mean) of count data, and unobservable confounding. The focus here is on the case in which the causal variable is continuous. The newly proposed causal effect estimators are compared with extant FO-2SRI estimators based on conventional control function methods and the linear instrumental …

    iupui Repository record for Count-Regression-Based Empirical Causal Analysis from a Potential Outcomes Perspective: Accounting for Boundedness, Discreteness, Dispersion and Unobservable Confounding (opens in a new tab)

  9. Applications of the Chinese Remainder Theorem to the construction and analysis of confounding systems and randomized fractional replicates for mixed factorial experiments

    … first utilized by Paul K. Lin in constructing confounding systems for mixed factorial experiments. This study extends the use of the theorem to cover cases when more than one component from some of the symmetrical factorials are confounded, and to include cases where the number of levels of …

    vt Repository record for Applications of the Chinese Remainder Theorem to the construction and analysis of confounding systems and randomized fractional replicates for mixed factorial experiments (opens in a new tab)

  10. An analysis of alcohol use and possible confounding risk factors for risky sexual behaviour amongst women in the rural Western Cape and urban Gauteng provinces

    … alcohol consumption variables and possible confounding risk factors associated with risky sexual behaviour amongst women in the urban city of Tshwane in Gauteng and the rural Western Cape sites, respectively.

    cape-town Repository record for An analysis of alcohol use and possible confounding risk factors for risky sexual behaviour amongst women in the rural Western Cape and urban Gauteng provinces (opens in a new tab)

  11. Statistical methods for ChIP-seq and microbiome studies using next-generation DNA sequencing data

    … features on interesting outcomes in presence of confounding variables.</p> <p>ChIP-seq experiments aim to detect DNA-protein binding sites and require biological replication to draw inferential conclusions. However, there is no current consensus on how to analyze ChIP-seq data with biological …

    iastate Repository record for Statistical methods for ChIP-seq and microbiome studies using next-generation DNA sequencing data (opens in a new tab)

  12. The Removal of False Signals from Convolutional Neural Networks

    … is based on false associations, learned from confounding features in the training data, the model will produce incorrect predictions when the false associations do not hold. To prevent failures in critical domains such as healthcare, false relationships must be identified and removed. This …

    stellenbosch Repository record for The Removal of False Signals from Convolutional Neural Networks (opens in a new tab)

  13. MATERNAL USE OF PSYCHIATRIC MEDICATIONS DURING PREGNANCY AND ADVERSE BIRTH OUTCOMES AND NEURODEVELOPMENTAL PROBLEMS IN OFFSPRING

    … among exposed and unexposed pregnancies (i.e., confounding factors). Therefore, the aim of my dissertation research was to evaluate consequences of prenatal exposure to psychiatric and analgesic medications on risk for adverse birth outcomes and neurodevelopmental problems by seeking converging …

    iu Repository record for MATERNAL USE OF PSYCHIATRIC MEDICATIONS DURING PREGNANCY AND ADVERSE BIRTH OUTCOMES AND NEURODEVELOPMENTAL PROBLEMS IN OFFSPRING (opens in a new tab)

  14. An Analysis of All-Cause Mortality on Patients with Sickle Cell Disease and Kidney Disease using Propensity Score Matching

    … notion of propensity score matching to deal with confounding factors. A full analysis is reported in Chapter 2 concerning mortality for in-center dialysis patients with sickle cell disease to demonstrate the application of a general analysis strategy that has some logistical benefits over more …

    sfasu Repository record for An Analysis of All-Cause Mortality on Patients with Sickle Cell Disease and Kidney Disease using Propensity Score Matching (opens in a new tab)

  15. STATISTICAL METHODS FOR ANALYSIS OF CANCER CHEMOPREVENTION EXPERIMENTS

    … difficult, when multiple tumors occur, by the confounding of the number of induced tumors and their time of detection. This confounding occurs because experiments are terminated before all induced tumors have been detected. Fewer tumors observed in one treatment group, as compared to another, …

    unh-thes Repository record for STATISTICAL METHODS FOR ANALYSIS OF CANCER CHEMOPREVENTION EXPERIMENTS (opens in a new tab)

  16. The Influence of Outdoor Air Quality on Vertical and Transverse Dental Dimensions

    … by questionnaire to account for potential confounding variables. Statistical Analysis: Pearson’s r correlation and multiple linear regression analysis were used to adjust for confounding variables within our model and determine if an association existed between the pollution metrics and …

    loma-linda Repository record for The Influence of Outdoor Air Quality on Vertical and Transverse Dental Dimensions (opens in a new tab)

  17. Comparing Different Methods of Applying Propensity Score in Controlling Selection Bias for Studies of Prostate Cancer

    … probability of treatment weighting—to adjust for confounding in analyses of treatment effects among prostate cancer patients. Methods: The linked Surveillance, Epidemiology, and End Results (SEER) Medicare database 1992-2007 was used for this research in which we studied two scenarios. In scenario …

    utmb Repository record for Comparing Different Methods of Applying Propensity Score in Controlling Selection Bias for Studies of Prostate Cancer (opens in a new tab)

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