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Showing 1 to 8 of 8 for “"Left Censoring"”.

  1. The Censored Heterogeneous Negative Binomial Model

    <p>Censoring is an issue common to the analysis of survival data. Survival analysis evaluates time to the occurrence of an event for each individual as its outcome measure; those individuals for whom the event does not occur prior to the end of the study are said to have censored event times. …

    south-carolina Repository record for The Censored Heterogeneous Negative Binomial Model (opens in a new tab)

  2. Investigation of Infectious Disease Associations with Cognitive Impairment using Electronic Medical Records

    … well as potential outcome misclassification and left censoring of comorbidities due to structural features of TriNetX, our results imply that renewed investment in sexually transmitted infection screening, treatment completion, and partner notification programs could be feasible targets to lessen …

    utmb Repository record for Investigation of Infectious Disease Associations with Cognitive Impairment using Electronic Medical Records (opens in a new tab)

  3. Bayesian approach for modeling zero-inflated plant percent covers using spatial left-censored beta regression

    … data is to use beta distribution, utilizing left-censoring to create probability mass for zero observations. In this study, alternative versions of left-censored beta regression are implemented and their behavior studied when applied to real data from the Baltic Sea. Specifically, the model …

    helsinki Repository record for Bayesian approach for modeling zero-inflated plant percent covers using spatial left-censored beta regression (opens in a new tab)

  4. Complexity and fragility: an assessment of New Zealand trade relations

    … the determinants, duration of the sequence, left-censoring, initial export, decomposed sequences, export price, the number of cows available for dairy production, the number of import origins and export destinations, and destination partner’s GDP, are the most significant factors reducing the …

    waikato-masters Repository record for Complexity and fragility: an assessment of New Zealand trade relations (opens in a new tab)

  5. Team design and performance : a study of short-term enterpreneurial teams

    … of many entrepreneurship studies including left censoring biases, population identification and low response rates. Chapter 1 is an overview of the thesis while chapter 2 describes the entrepreneurial activities at MIT. Chapter 3 describes the MIT $50K Business Plan Competition and …

    mit Repository record for Team design and performance : a study of short-term enterpreneurial teams (opens in a new tab)

  6. Modelling gametocytes in the presence of interval-censoring

    … observing gametocyte profiles was complex due to censoring. Censoring occurs when an event has not been observed, and hence the event time is only partially known. Censoring occurs for various reasons, which include the following. In some instances, a patient may enter a study with gametocytes …

    cape-town Repository record for Modelling gametocytes in the presence of interval-censoring (opens in a new tab)

  7. Essays in economic development and education

    … model to test this hypothesis and find that a left-censoring of the migration cost distribution, consistent with the disproportionate elimination of low-cost crossing options, best rationalizes evidence on changing migration patterns. The third chapter of this dissertation (coauthored with …

    mit Repository record for Essays in economic development and education (opens in a new tab)

  8. Variable screening and model selection in censored quantile regression via sparse penalties and stepwise refinement

    … for each observation, it is common to model the censoring as random. Under the assumption that y_i and C_i are conditionally independent given x_i, we use the random censored quantile regression Portnoy estimators (2010). This method simplifies the censored problem into a weight problem. When …

    uiuc Repository record for Variable screening and model selection in censored quantile regression via sparse penalties and stepwise refinement (opens in a new tab)