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You searched for +publisher:"University of Illinois – Chicago" +contributor:("Demirtas, Hakan"). Showing records 1 – 6 of 6 total matches.

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University of Illinois – Chicago

1. Hubbard, Colin. Extensions of the Dynamic Propensity Score Adjustment for Longitudinal Data.

Degree: 2017, University of Illinois – Chicago

 Dynamic propensity adjustment models are extensions of the propensity score adjustment strategy to longitudinal observational study data, in which observations on the same subjects are… (more)

Subjects/Keywords: propensity scores; longitudinal data; matching; weighting; adjustment; treatment effectiveness research; observational studies

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

APA (6th Edition):

Hubbard, C. (2017). Extensions of the Dynamic Propensity Score Adjustment for Longitudinal Data. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/22237

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):

Hubbard, Colin. “Extensions of the Dynamic Propensity Score Adjustment for Longitudinal Data.” 2017. Thesis, University of Illinois – Chicago. Accessed October 30, 2020. http://hdl.handle.net/10027/22237.

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

MLA Handbook (7th Edition):

Hubbard, Colin. “Extensions of the Dynamic Propensity Score Adjustment for Longitudinal Data.” 2017. Web. 30 Oct 2020.

Vancouver:

Hubbard C. Extensions of the Dynamic Propensity Score Adjustment for Longitudinal Data. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/10027/22237.

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

Council of Science Editors:

Hubbard C. Extensions of the Dynamic Propensity Score Adjustment for Longitudinal Data. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/22237

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


University of Illinois – Chicago

2. Kaminski-Ozturk, Nicole. A Bayesian Robust IRT Outlier Detection Model.

Degree: 2018, University of Illinois – Chicago

 In the context of psychometric practice, the parameter estimates of a standard item-response theory (IRT) model may become biased when item-response data, of persons’ individual… (more)

Subjects/Keywords: Psychometrics; Bayesian

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

APA (6th Edition):

Kaminski-Ozturk, N. (2018). A Bayesian Robust IRT Outlier Detection Model. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/23273

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):

Kaminski-Ozturk, Nicole. “A Bayesian Robust IRT Outlier Detection Model.” 2018. Thesis, University of Illinois – Chicago. Accessed October 30, 2020. http://hdl.handle.net/10027/23273.

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

MLA Handbook (7th Edition):

Kaminski-Ozturk, Nicole. “A Bayesian Robust IRT Outlier Detection Model.” 2018. Web. 30 Oct 2020.

Vancouver:

Kaminski-Ozturk N. A Bayesian Robust IRT Outlier Detection Model. [Internet] [Thesis]. University of Illinois – Chicago; 2018. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/10027/23273.

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

Council of Science Editors:

Kaminski-Ozturk N. A Bayesian Robust IRT Outlier Detection Model. [Thesis]. University of Illinois – Chicago; 2018. Available from: http://hdl.handle.net/10027/23273

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


University of Illinois – Chicago

3. Helenowski, Irene B. Multiple Imputation via a Semi-Parametric Probability Integral Transformation.

Degree: 2012, University of Illinois – Chicago

 In real data scenarios, the distribution of the data is often unknown. Therefore, methods for imputing data which relax distributional or model assumptions may be… (more)

Subjects/Keywords: multiple imputation; random number generation; empirical cumulative distribution function

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

APA (6th Edition):

Helenowski, I. B. (2012). Multiple Imputation via a Semi-Parametric Probability Integral Transformation. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/8652

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):

Helenowski, Irene B. “Multiple Imputation via a Semi-Parametric Probability Integral Transformation.” 2012. Thesis, University of Illinois – Chicago. Accessed October 30, 2020. http://hdl.handle.net/10027/8652.

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

MLA Handbook (7th Edition):

Helenowski, Irene B. “Multiple Imputation via a Semi-Parametric Probability Integral Transformation.” 2012. Web. 30 Oct 2020.

Vancouver:

Helenowski IB. Multiple Imputation via a Semi-Parametric Probability Integral Transformation. [Internet] [Thesis]. University of Illinois – Chicago; 2012. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/10027/8652.

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

Council of Science Editors:

Helenowski IB. Multiple Imputation via a Semi-Parametric Probability Integral Transformation. [Thesis]. University of Illinois – Chicago; 2012. Available from: http://hdl.handle.net/10027/8652

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


University of Illinois – Chicago

4. Fidino, Mason Allen. Urban Wildlife Through Space and Time.

Degree: 2017, University of Illinois – Chicago

 Much of my work is focused on developing techniques and methods to get the most ecologically relevant information as possible from observational data. First, I… (more)

Subjects/Keywords: Bayesian; Camera traps; Occupancy modeling; Urban Wildlife

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

APA (6th Edition):

Fidino, M. A. (2017). Urban Wildlife Through Space and Time. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/21904

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):

Fidino, Mason Allen. “Urban Wildlife Through Space and Time.” 2017. Thesis, University of Illinois – Chicago. Accessed October 30, 2020. http://hdl.handle.net/10027/21904.

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

MLA Handbook (7th Edition):

Fidino, Mason Allen. “Urban Wildlife Through Space and Time.” 2017. Web. 30 Oct 2020.

Vancouver:

Fidino MA. Urban Wildlife Through Space and Time. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/10027/21904.

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

Council of Science Editors:

Fidino MA. Urban Wildlife Through Space and Time. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/21904

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


University of Illinois – Chicago

5. Langi, Fima Lanra Fredrik Gerarld. Analysis of Survey Data with Non-Ignorable Missing Covariates.

Degree: 2017, University of Illinois – Chicago

 Missing data are common in survey sampling, which create a spectrum of inferential problems. In this thesis, a method to analyze survey data with potentially… (more)

Subjects/Keywords: missing data; survey sampling; maximum likelihood; EM algorithm

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

APA (6th Edition):

Langi, F. L. F. G. (2017). Analysis of Survey Data with Non-Ignorable Missing Covariates. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/22133

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):

Langi, Fima Lanra Fredrik Gerarld. “Analysis of Survey Data with Non-Ignorable Missing Covariates.” 2017. Thesis, University of Illinois – Chicago. Accessed October 30, 2020. http://hdl.handle.net/10027/22133.

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

MLA Handbook (7th Edition):

Langi, Fima Lanra Fredrik Gerarld. “Analysis of Survey Data with Non-Ignorable Missing Covariates.” 2017. Web. 30 Oct 2020.

Vancouver:

Langi FLFG. Analysis of Survey Data with Non-Ignorable Missing Covariates. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/10027/22133.

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

Council of Science Editors:

Langi FLFG. Analysis of Survey Data with Non-Ignorable Missing Covariates. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/22133

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

6. Cursio, John F. Latent Trait Pattern-Mixture Mixed-Models for Ecological Momentary Assessment Data.

Degree: 2012, University of Illinois – Chicago

 Latent trait pattern-mixture mixed-models (LTPMMM) for Ecological Momentary Assessment (EMA) data are developed in which data are collected in a intermittent fashion. Initial work with… (more)

Subjects/Keywords: Item response theory; ecological momentary assessment; latent trait pattern-mixture mixed-model

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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

APA (6th Edition):

Cursio, J. F. (2012). Latent Trait Pattern-Mixture Mixed-Models for Ecological Momentary Assessment Data. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/9174

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):

Cursio, John F. “Latent Trait Pattern-Mixture Mixed-Models for Ecological Momentary Assessment Data.” 2012. Thesis, University of Illinois – Chicago. Accessed October 30, 2020. http://hdl.handle.net/10027/9174.

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

MLA Handbook (7th Edition):

Cursio, John F. “Latent Trait Pattern-Mixture Mixed-Models for Ecological Momentary Assessment Data.” 2012. Web. 30 Oct 2020.

Vancouver:

Cursio JF. Latent Trait Pattern-Mixture Mixed-Models for Ecological Momentary Assessment Data. [Internet] [Thesis]. University of Illinois – Chicago; 2012. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/10027/9174.

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

Council of Science Editors:

Cursio JF. Latent Trait Pattern-Mixture Mixed-Models for Ecological Momentary Assessment Data. [Thesis]. University of Illinois – Chicago; 2012. Available from: http://hdl.handle.net/10027/9174

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

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