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You searched for subject:(Incomplete measurements). Showing records 1 – 2 of 2 total matches.

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University of Michigan

1. Davis, Charles Shaw. Nonparametric Methods For Analyzing Incomplete Nondecreasing Repeated Measurements.

Degree: PhD, Biostatistics, 1987, University of Michigan

In comparing the effectiveness of two treatments, suppose that nondecreasing repeated measurements of the same characteristic are scheduled to be taken over a common set of time points for each study subject. In this case, if there is a missing observation at a particualr time u, then the observations at times s and t, where s < u < t, provide a lower and an upper bound for the observation missed at time u. We propose several classes of nonparametric tests for testing for differences between two treatments over the entire study: (1) tests which exclude missing values (but are valid even when the patterns of missing observations in the two groups are different); (2) tests based on the assumption that the missing value patterns are the same in the two groups; (3) tests which are valid when the patterns of missing observations in the two groups are different. All of these methods take advantage of the nondecreasing property of the repeated measurements from each subject. The large-sample distributions are derived and the small-sample properties are compared in a simulation study. In particular, the effects of the amount and pattern of missing data on the distributions of the test criteria under the null and alternative hypotheses are investigated. The proposed test of type (3) are shown to be more powerful than existing nonparametric method. Based on these tests, consistent point estimators and test-based nonparametric confidence intervals for the overall treatment effect are derived. Next, statistical inference procedures are developed to examine the changes of treatment effect over time. For example, one may like to know if a particular treatment is beneficial only in the early stages of a study. Nonparametric tests based on the increments of the repeated measurements are proposed for this situation and a simultaneous inference procedure for evaluating the time trend for treatment effect is described. In addition, consistent point estimators and test-based nonparametric simultaneous confidence regions for the treatment effects are derived. Finally, the above methods are extended to the case of more than two groups of subjects.

Subjects/Keywords: Analyzing; Incomplete; Measurements; Methods; Nondecreasing; Nonparametric; Repeated

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Davis, C. S. (1987). Nonparametric Methods For Analyzing Incomplete Nondecreasing Repeated Measurements. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/128049

Chicago Manual of Style (16th Edition):

Davis, Charles Shaw. “Nonparametric Methods For Analyzing Incomplete Nondecreasing Repeated Measurements.” 1987. Doctoral Dissertation, University of Michigan. Accessed September 18, 2020. http://hdl.handle.net/2027.42/128049.

MLA Handbook (7th Edition):

Davis, Charles Shaw. “Nonparametric Methods For Analyzing Incomplete Nondecreasing Repeated Measurements.” 1987. Web. 18 Sep 2020.

Vancouver:

Davis CS. Nonparametric Methods For Analyzing Incomplete Nondecreasing Repeated Measurements. [Internet] [Doctoral dissertation]. University of Michigan; 1987. [cited 2020 Sep 18]. Available from: http://hdl.handle.net/2027.42/128049.

Council of Science Editors:

Davis CS. Nonparametric Methods For Analyzing Incomplete Nondecreasing Repeated Measurements. [Doctoral Dissertation]. University of Michigan; 1987. Available from: http://hdl.handle.net/2027.42/128049

2. WANG XIAOJUAN. Parameter Identification with Unknown Input and Incomplete Measurements.

Degree: 2012, National University of Singapore

Subjects/Keywords: Structural health monitoring; Damage detection; Structural identification; Substructural identification; Unknown input; Incomplete measurements

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

XIAOJUAN, W. (2012). Parameter Identification with Unknown Input and Incomplete Measurements. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/36365

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

XIAOJUAN, WANG. “Parameter Identification with Unknown Input and Incomplete Measurements.” 2012. Thesis, National University of Singapore. Accessed September 18, 2020. http://scholarbank.nus.edu.sg/handle/10635/36365.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

XIAOJUAN, WANG. “Parameter Identification with Unknown Input and Incomplete Measurements.” 2012. Web. 18 Sep 2020.

Vancouver:

XIAOJUAN W. Parameter Identification with Unknown Input and Incomplete Measurements. [Internet] [Thesis]. National University of Singapore; 2012. [cited 2020 Sep 18]. Available from: http://scholarbank.nus.edu.sg/handle/10635/36365.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

XIAOJUAN W. Parameter Identification with Unknown Input and Incomplete Measurements. [Thesis]. National University of Singapore; 2012. Available from: http://scholarbank.nus.edu.sg/handle/10635/36365

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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