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Topics in logistic regression analysis.
~
ProQuest Information and Learning Co.
Topics in logistic regression analysis.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Topics in logistic regression analysis./
作者:
Xie, Zhiheng.
面頁冊數:
1 online resource (98 pages)
附註:
Source: Dissertation Abstracts International, Volume: 78-01(E), Section: B.
標題:
Statistics. -
電子資源:
click for full text (PQDT)
ISBN:
9781369095609
Topics in logistic regression analysis.
Xie, Zhiheng.
Topics in logistic regression analysis.
- 1 online resource (98 pages)
Source: Dissertation Abstracts International, Volume: 78-01(E), Section: B.
Thesis (Ph.D.)--University of Kentucky, 2016.
Includes bibliographical references
Discrete-time Markov chains have been used to analyze the transition of subjects from intact cognition to dementia with mild cognitive impairment and global impairment as intervening transient states, and death as competing risk. A multinomial logistic regression model is used to estimate the probability distribution in each row of the one step transition matrix that correspond to the transient states. We investigate some goodness of fit tests for a multinomial distribution with covariates to assess the fit of this model to the data. We propose a modified chi-square test statistic and a score test statistic for the multinomial assumption in each row of the transition probability matrix. (Abstract shortened by ProQuest.).
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781369095609Subjects--Topical Terms:
556824
Statistics.
Index Terms--Genre/Form:
554714
Electronic books.
Topics in logistic regression analysis.
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Discrete-time Markov chains have been used to analyze the transition of subjects from intact cognition to dementia with mild cognitive impairment and global impairment as intervening transient states, and death as competing risk. A multinomial logistic regression model is used to estimate the probability distribution in each row of the one step transition matrix that correspond to the transient states. We investigate some goodness of fit tests for a multinomial distribution with covariates to assess the fit of this model to the data. We propose a modified chi-square test statistic and a score test statistic for the multinomial assumption in each row of the transition probability matrix. (Abstract shortened by ProQuest.).
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click for full text (PQDT)
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