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You searched for subject:(intensive longitudinal data). Showing records 1 – 14 of 14 total matches.

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University of Manchester

1. Carter, Lesley-Anne. Rigorous methods for the analysis, reporting and evaluation of ESM style data.

Degree: 2016, University of Manchester

 Experience sampling methodology (ESM) is a real-time data capture method that can be used to monitor symptoms and behaviours as they occur during everyday life.… (more)

Subjects/Keywords: Experience sampling; Multilevel; Intensive longitudinal data

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

APA (6th Edition):

Carter, L. (2016). Rigorous methods for the analysis, reporting and evaluation of ESM style data. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:305878

Chicago Manual of Style (16th Edition):

Carter, Lesley-Anne. “Rigorous methods for the analysis, reporting and evaluation of ESM style data.” 2016. Doctoral Dissertation, University of Manchester. Accessed January 21, 2021. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:305878.

MLA Handbook (7th Edition):

Carter, Lesley-Anne. “Rigorous methods for the analysis, reporting and evaluation of ESM style data.” 2016. Web. 21 Jan 2021.

Vancouver:

Carter L. Rigorous methods for the analysis, reporting and evaluation of ESM style data. [Internet] [Doctoral dissertation]. University of Manchester; 2016. [cited 2021 Jan 21]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:305878.

Council of Science Editors:

Carter L. Rigorous methods for the analysis, reporting and evaluation of ESM style data. [Doctoral Dissertation]. University of Manchester; 2016. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:305878


University of Manchester

2. Carter, Lesley-Anne. Rigorous methods for the analysis, reporting and evaluation of ESM style data.

Degree: PhD, 2016, University of Manchester

 Experience sampling methodology (ESM) is a real-time data capture method that can be used to monitor symptoms and behaviours as they occur during everyday life.… (more)

Subjects/Keywords: 001.4; Experience sampling; Multilevel; Intensive longitudinal data

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APA (6th Edition):

Carter, L. (2016). Rigorous methods for the analysis, reporting and evaluation of ESM style data. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/rigorous-methods-for-the-analysis-reporting-and-evaluation-of-esm-style-data(5c022c50-c399-4388-b76f-a02af55be4ad).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.701110

Chicago Manual of Style (16th Edition):

Carter, Lesley-Anne. “Rigorous methods for the analysis, reporting and evaluation of ESM style data.” 2016. Doctoral Dissertation, University of Manchester. Accessed January 21, 2021. https://www.research.manchester.ac.uk/portal/en/theses/rigorous-methods-for-the-analysis-reporting-and-evaluation-of-esm-style-data(5c022c50-c399-4388-b76f-a02af55be4ad).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.701110.

MLA Handbook (7th Edition):

Carter, Lesley-Anne. “Rigorous methods for the analysis, reporting and evaluation of ESM style data.” 2016. Web. 21 Jan 2021.

Vancouver:

Carter L. Rigorous methods for the analysis, reporting and evaluation of ESM style data. [Internet] [Doctoral dissertation]. University of Manchester; 2016. [cited 2021 Jan 21]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/rigorous-methods-for-the-analysis-reporting-and-evaluation-of-esm-style-data(5c022c50-c399-4388-b76f-a02af55be4ad).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.701110.

Council of Science Editors:

Carter L. Rigorous methods for the analysis, reporting and evaluation of ESM style data. [Doctoral Dissertation]. University of Manchester; 2016. Available from: https://www.research.manchester.ac.uk/portal/en/theses/rigorous-methods-for-the-analysis-reporting-and-evaluation-of-esm-style-data(5c022c50-c399-4388-b76f-a02af55be4ad).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.701110


Penn State University

3. Ji, Linying. Handling Missing Data in the Modeling of Intensive Longitudinal Data.

Degree: 2016, Penn State University

 The availability of intensive longitudinal data has helped spur the use more sophisticated methods for studying change. Unfortunately, missing data issues also arise frequently in… (more)

Subjects/Keywords: intensive longitudinal data; missing data; multiple imputation; full-information maximum likelihood

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

APA (6th Edition):

Ji, L. (2016). Handling Missing Data in the Modeling of Intensive Longitudinal Data. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/28928

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):

Ji, Linying. “Handling Missing Data in the Modeling of Intensive Longitudinal Data.” 2016. Thesis, Penn State University. Accessed January 21, 2021. https://submit-etda.libraries.psu.edu/catalog/28928.

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

MLA Handbook (7th Edition):

Ji, Linying. “Handling Missing Data in the Modeling of Intensive Longitudinal Data.” 2016. Web. 21 Jan 2021.

Vancouver:

Ji L. Handling Missing Data in the Modeling of Intensive Longitudinal Data. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 Jan 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/28928.

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

Council of Science Editors:

Ji L. Handling Missing Data in the Modeling of Intensive Longitudinal Data. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/28928

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


Universiteit Utrecht

4. Schuurman, N.K. Multilevel Autoregressive Modeling in Psychology: Snags and Solutions.

Degree: 2016, Universiteit Utrecht

 Psychological processes are of interest in all areas of psychology, and all such processes occur within individuals over time. Some examples of psychological processes are… (more)

Subjects/Keywords: time series; multilevel autoregressive modeling; intensive longitudinal data; bayesian modeling

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

APA (6th Edition):

Schuurman, N. K. (2016). Multilevel Autoregressive Modeling in Psychology: Snags and Solutions. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/337475

Chicago Manual of Style (16th Edition):

Schuurman, N K. “Multilevel Autoregressive Modeling in Psychology: Snags and Solutions.” 2016. Doctoral Dissertation, Universiteit Utrecht. Accessed January 21, 2021. http://dspace.library.uu.nl:8080/handle/1874/337475.

MLA Handbook (7th Edition):

Schuurman, N K. “Multilevel Autoregressive Modeling in Psychology: Snags and Solutions.” 2016. Web. 21 Jan 2021.

Vancouver:

Schuurman NK. Multilevel Autoregressive Modeling in Psychology: Snags and Solutions. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2016. [cited 2021 Jan 21]. Available from: http://dspace.library.uu.nl:8080/handle/1874/337475.

Council of Science Editors:

Schuurman NK. Multilevel Autoregressive Modeling in Psychology: Snags and Solutions. [Doctoral Dissertation]. Universiteit Utrecht; 2016. Available from: http://dspace.library.uu.nl:8080/handle/1874/337475


Penn State University

5. Trail, Jessica Brooke. Dynamic Models for Intensive Longitudinal Data: New Models, Statistical Procedures, and Applications.

Degree: 2015, Penn State University

 Functional data analysis (FDA) of intensive longitudinal data is becoming increasingly popular in the behavioral sciences to study time-varying processes. This dissertation focuses on integrating… (more)

Subjects/Keywords: intensive longitudinal data; dynamic systems; time-varying effects

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

APA (6th Edition):

Trail, J. B. (2015). Dynamic Models for Intensive Longitudinal Data: New Models, Statistical Procedures, and Applications. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/24818

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):

Trail, Jessica Brooke. “Dynamic Models for Intensive Longitudinal Data: New Models, Statistical Procedures, and Applications.” 2015. Thesis, Penn State University. Accessed January 21, 2021. https://submit-etda.libraries.psu.edu/catalog/24818.

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

MLA Handbook (7th Edition):

Trail, Jessica Brooke. “Dynamic Models for Intensive Longitudinal Data: New Models, Statistical Procedures, and Applications.” 2015. Web. 21 Jan 2021.

Vancouver:

Trail JB. Dynamic Models for Intensive Longitudinal Data: New Models, Statistical Procedures, and Applications. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Jan 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/24818.

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

Council of Science Editors:

Trail JB. Dynamic Models for Intensive Longitudinal Data: New Models, Statistical Procedures, and Applications. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/24818

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


Penn State University

6. Wood, Julie Katharine. Integrating Multiple Timescales and Process Models: An Illustrative Application to Affect Dynamics.

Degree: 2018, Penn State University

 Process models are robust tools for developing, testing, and refining models of psychological processes. However, process models are typically applied only to intensive data collected… (more)

Subjects/Keywords: Process modeling; Multiple Timescales; Intensive longitudinal data; Affect Dynamics

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

APA (6th Edition):

Wood, J. K. (2018). Integrating Multiple Timescales and Process Models: An Illustrative Application to Affect Dynamics. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15142jfw5255

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):

Wood, Julie Katharine. “Integrating Multiple Timescales and Process Models: An Illustrative Application to Affect Dynamics.” 2018. Thesis, Penn State University. Accessed January 21, 2021. https://submit-etda.libraries.psu.edu/catalog/15142jfw5255.

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

MLA Handbook (7th Edition):

Wood, Julie Katharine. “Integrating Multiple Timescales and Process Models: An Illustrative Application to Affect Dynamics.” 2018. Web. 21 Jan 2021.

Vancouver:

Wood JK. Integrating Multiple Timescales and Process Models: An Illustrative Application to Affect Dynamics. [Internet] [Thesis]. Penn State University; 2018. [cited 2021 Jan 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/15142jfw5255.

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

Council of Science Editors:

Wood JK. Integrating Multiple Timescales and Process Models: An Illustrative Application to Affect Dynamics. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/15142jfw5255

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


University of Notre Dame

7. Lauren A. Trichtinger. Bootstrap Methods for Testing P-Technique Factor Analysis</h1>.

Degree: Psychology, 2020, University of Notre Dame

  New data collection methods like smartphone applications afford researchers the opportunity to study intra-individual differences with finer details. Data from these types of studies… (more)

Subjects/Keywords: P-technique; factor analysis; intensive longitudinal data; nonnormal; time series; bootstrap

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

APA (6th Edition):

Trichtinger, L. A. (2020). Bootstrap Methods for Testing P-Technique Factor Analysis</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/vt150g38p7r

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):

Trichtinger, Lauren A.. “Bootstrap Methods for Testing P-Technique Factor Analysis</h1>.” 2020. Thesis, University of Notre Dame. Accessed January 21, 2021. https://curate.nd.edu/show/vt150g38p7r.

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

MLA Handbook (7th Edition):

Trichtinger, Lauren A.. “Bootstrap Methods for Testing P-Technique Factor Analysis</h1>.” 2020. Web. 21 Jan 2021.

Vancouver:

Trichtinger LA. Bootstrap Methods for Testing P-Technique Factor Analysis</h1>. [Internet] [Thesis]. University of Notre Dame; 2020. [cited 2021 Jan 21]. Available from: https://curate.nd.edu/show/vt150g38p7r.

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

Council of Science Editors:

Trichtinger LA. Bootstrap Methods for Testing P-Technique Factor Analysis</h1>. [Thesis]. University of Notre Dame; 2020. Available from: https://curate.nd.edu/show/vt150g38p7r

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


Penn State University

8. Yoo, Mina. MEASURES OF AGREEMENT IN METHOD COMPARISON STUDIES FOR INTENSIVE LONGITUDINAL DATA .

Degree: 2011, Penn State University

 This dissertation is concerned with assessment of measurement agreement for intensive longitudinal data. Assessment of the measurement agreement encompasses a variety of applications. A number… (more)

Subjects/Keywords: concordance correlation coefficient; varying coefficient models; partially linear models; mixed effects models; measurement agreement; intensive longitudinal data

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

APA (6th Edition):

Yoo, M. (2011). MEASURES OF AGREEMENT IN METHOD COMPARISON STUDIES FOR INTENSIVE LONGITUDINAL DATA . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/12131

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):

Yoo, Mina. “MEASURES OF AGREEMENT IN METHOD COMPARISON STUDIES FOR INTENSIVE LONGITUDINAL DATA .” 2011. Thesis, Penn State University. Accessed January 21, 2021. https://submit-etda.libraries.psu.edu/catalog/12131.

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

MLA Handbook (7th Edition):

Yoo, Mina. “MEASURES OF AGREEMENT IN METHOD COMPARISON STUDIES FOR INTENSIVE LONGITUDINAL DATA .” 2011. Web. 21 Jan 2021.

Vancouver:

Yoo M. MEASURES OF AGREEMENT IN METHOD COMPARISON STUDIES FOR INTENSIVE LONGITUDINAL DATA . [Internet] [Thesis]. Penn State University; 2011. [cited 2021 Jan 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/12131.

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

Council of Science Editors:

Yoo M. MEASURES OF AGREEMENT IN METHOD COMPARISON STUDIES FOR INTENSIVE LONGITUDINAL DATA . [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/12131

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


University of Southern California

9. Liao, Yue. Understanding the dynamic relationships between physical activity and affective states using real-time data capture techniques.

Degree: PhD, Preventive Medicine (Health Behavior), 7, University of Southern California

 This dissertation examined the relationships between physical activity and affective states using real‐time data capture techniques. Specifically, the (1) acute effects (i.e., the bi‐directional relationships… (more)

Subjects/Keywords: physical activity; affect; free‐living; ecological momentary assessment; intensive longitudinal data

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APA (6th Edition):

Liao, Y. (7). Understanding the dynamic relationships between physical activity and affective states using real-time data capture techniques. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/588570/rec/7683

Chicago Manual of Style (16th Edition):

Liao, Yue. “Understanding the dynamic relationships between physical activity and affective states using real-time data capture techniques.” 7. Doctoral Dissertation, University of Southern California. Accessed January 21, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/588570/rec/7683.

MLA Handbook (7th Edition):

Liao, Yue. “Understanding the dynamic relationships between physical activity and affective states using real-time data capture techniques.” 7. Web. 21 Jan 2021.

Vancouver:

Liao Y. Understanding the dynamic relationships between physical activity and affective states using real-time data capture techniques. [Internet] [Doctoral dissertation]. University of Southern California; 7. [cited 2021 Jan 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/588570/rec/7683.

Council of Science Editors:

Liao Y. Understanding the dynamic relationships between physical activity and affective states using real-time data capture techniques. [Doctoral Dissertation]. University of Southern California; 7. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/588570/rec/7683

10. Schuurman, N.K. Multilevel Autoregressive Modeling in Psychology: Snags and Solutions.

Degree: 2016, University Utrecht

 Psychological processes are of interest in all areas of psychology, and all such processes occur within individuals over time. Some examples of psychological processes are… (more)

Subjects/Keywords: time series; multilevel autoregressive modeling; intensive longitudinal data; bayesian modeling

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Schuurman, N. K. (2016). Multilevel Autoregressive Modeling in Psychology: Snags and Solutions. (Doctoral Dissertation). University Utrecht. Retrieved from https://dspace.library.uu.nl/handle/1874/337475 ; URN:NBN:NL:UI:10-1874-337475 ; 1874/337475 ; urn:isbn:9789039365854 ; URN:NBN:NL:UI:10-1874-337475 ; https://dspace.library.uu.nl/handle/1874/337475

Chicago Manual of Style (16th Edition):

Schuurman, N K. “Multilevel Autoregressive Modeling in Psychology: Snags and Solutions.” 2016. Doctoral Dissertation, University Utrecht. Accessed January 21, 2021. https://dspace.library.uu.nl/handle/1874/337475 ; URN:NBN:NL:UI:10-1874-337475 ; 1874/337475 ; urn:isbn:9789039365854 ; URN:NBN:NL:UI:10-1874-337475 ; https://dspace.library.uu.nl/handle/1874/337475.

MLA Handbook (7th Edition):

Schuurman, N K. “Multilevel Autoregressive Modeling in Psychology: Snags and Solutions.” 2016. Web. 21 Jan 2021.

Vancouver:

Schuurman NK. Multilevel Autoregressive Modeling in Psychology: Snags and Solutions. [Internet] [Doctoral dissertation]. University Utrecht; 2016. [cited 2021 Jan 21]. Available from: https://dspace.library.uu.nl/handle/1874/337475 ; URN:NBN:NL:UI:10-1874-337475 ; 1874/337475 ; urn:isbn:9789039365854 ; URN:NBN:NL:UI:10-1874-337475 ; https://dspace.library.uu.nl/handle/1874/337475.

Council of Science Editors:

Schuurman NK. Multilevel Autoregressive Modeling in Psychology: Snags and Solutions. [Doctoral Dissertation]. University Utrecht; 2016. Available from: https://dspace.library.uu.nl/handle/1874/337475 ; URN:NBN:NL:UI:10-1874-337475 ; 1874/337475 ; urn:isbn:9789039365854 ; URN:NBN:NL:UI:10-1874-337475 ; https://dspace.library.uu.nl/handle/1874/337475


Penn State University

11. McDaniel, Brandon Talmage. Understanding Stability and Change in Daily Coparenting: Predictors and Outcomes in Families with Young Children.

Degree: 2016, Penn State University

 Coparenting consists of the ways parents work together in rearing their children. The ability of parents to cooperate, support one another, and avoid undermining or… (more)

Subjects/Keywords: Coparenting; Daily Diary; Dyadic Data; Intensive Longitudinal Designs; Couple Relationships; Parenting; Family Relationships; Child Behavior Problems; Variability; Intraindividual Variability; Mothers; Fathers; Daily Coparenting; Daily Parenting; Parenting Stress; Daily Relationship Satisfaction; Daily Child Mood; Childcare Burden; Multilevel Modeling; Parent Depression; Undermining; Support

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

APA (6th Edition):

McDaniel, B. T. (2016). Understanding Stability and Change in Daily Coparenting: Predictors and Outcomes in Families with Young Children. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/d217qp48j

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):

McDaniel, Brandon Talmage. “Understanding Stability and Change in Daily Coparenting: Predictors and Outcomes in Families with Young Children.” 2016. Thesis, Penn State University. Accessed January 21, 2021. https://submit-etda.libraries.psu.edu/catalog/d217qp48j.

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

MLA Handbook (7th Edition):

McDaniel, Brandon Talmage. “Understanding Stability and Change in Daily Coparenting: Predictors and Outcomes in Families with Young Children.” 2016. Web. 21 Jan 2021.

Vancouver:

McDaniel BT. Understanding Stability and Change in Daily Coparenting: Predictors and Outcomes in Families with Young Children. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 Jan 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/d217qp48j.

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

Council of Science Editors:

McDaniel BT. Understanding Stability and Change in Daily Coparenting: Predictors and Outcomes in Families with Young Children. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/d217qp48j

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

12. Bailly, Sébastien. Utilisation des antifongiques chez le patient non neutropénique en réanimation : Antifungal use on non neutropenic patients in Intensive Care Unit.

Degree: Docteur es, Modèles, méthodes et algorithmes en biologie, santé et environnement, 2015, Université Grenoble Alpes (ComUE)

Les levures du genre Candida figurent parmi les pathogènes majeurs isolés chez les patients en soins intensifs et sont responsables d'infections systémiques : les candidoses… (more)

Subjects/Keywords: Traitement antifongique systémique; Unités de soins intensifs; Inférence causale; Candidoses invasives; Données observationnelles longitudinales; Modèles structurels marginaux; Systemic antifungal treatment; Intensive care units; Causal inference; Invasive candidiasis; Observational longitudinal data analysis; Structural marginal models; 610

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

APA (6th Edition):

Bailly, S. (2015). Utilisation des antifongiques chez le patient non neutropénique en réanimation : Antifungal use on non neutropenic patients in Intensive Care Unit. (Doctoral Dissertation). Université Grenoble Alpes (ComUE). Retrieved from http://www.theses.fr/2015GREAS013

Chicago Manual of Style (16th Edition):

Bailly, Sébastien. “Utilisation des antifongiques chez le patient non neutropénique en réanimation : Antifungal use on non neutropenic patients in Intensive Care Unit.” 2015. Doctoral Dissertation, Université Grenoble Alpes (ComUE). Accessed January 21, 2021. http://www.theses.fr/2015GREAS013.

MLA Handbook (7th Edition):

Bailly, Sébastien. “Utilisation des antifongiques chez le patient non neutropénique en réanimation : Antifungal use on non neutropenic patients in Intensive Care Unit.” 2015. Web. 21 Jan 2021.

Vancouver:

Bailly S. Utilisation des antifongiques chez le patient non neutropénique en réanimation : Antifungal use on non neutropenic patients in Intensive Care Unit. [Internet] [Doctoral dissertation]. Université Grenoble Alpes (ComUE); 2015. [cited 2021 Jan 21]. Available from: http://www.theses.fr/2015GREAS013.

Council of Science Editors:

Bailly S. Utilisation des antifongiques chez le patient non neutropénique en réanimation : Antifungal use on non neutropenic patients in Intensive Care Unit. [Doctoral Dissertation]. Université Grenoble Alpes (ComUE); 2015. Available from: http://www.theses.fr/2015GREAS013

13. Rietdijk, S. Time Will Tell : Time Series Modeling in Psychology.

Degree: 2018, University Utrecht

 The increasing popularity of intensive longitudinal research designs in psychology, such as the experience sampling method (ESM), calls for methodological research into optimal ways of… (more)

Subjects/Keywords: intensive longitudinal data; time series analysis; autoregression; Markov models; Bayesian estimation; multilevel analysis; Experience Sampling Methodology; affect dynamics; emotion regulation

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

APA (6th Edition):

Rietdijk, S. (2018). Time Will Tell : Time Series Modeling in Psychology. (Doctoral Dissertation). University Utrecht. Retrieved from https://dspace.library.uu.nl/handle/1874/371385 ; URN:NBN:NL:UI:10-1874-371385 ; 1874/371385 ; urn:isbn:9789463323949 ; URN:NBN:NL:UI:10-1874-371385 ; https://dspace.library.uu.nl/handle/1874/371385

Chicago Manual of Style (16th Edition):

Rietdijk, S. “Time Will Tell : Time Series Modeling in Psychology.” 2018. Doctoral Dissertation, University Utrecht. Accessed January 21, 2021. https://dspace.library.uu.nl/handle/1874/371385 ; URN:NBN:NL:UI:10-1874-371385 ; 1874/371385 ; urn:isbn:9789463323949 ; URN:NBN:NL:UI:10-1874-371385 ; https://dspace.library.uu.nl/handle/1874/371385.

MLA Handbook (7th Edition):

Rietdijk, S. “Time Will Tell : Time Series Modeling in Psychology.” 2018. Web. 21 Jan 2021.

Vancouver:

Rietdijk S. Time Will Tell : Time Series Modeling in Psychology. [Internet] [Doctoral dissertation]. University Utrecht; 2018. [cited 2021 Jan 21]. Available from: https://dspace.library.uu.nl/handle/1874/371385 ; URN:NBN:NL:UI:10-1874-371385 ; 1874/371385 ; urn:isbn:9789463323949 ; URN:NBN:NL:UI:10-1874-371385 ; https://dspace.library.uu.nl/handle/1874/371385.

Council of Science Editors:

Rietdijk S. Time Will Tell : Time Series Modeling in Psychology. [Doctoral Dissertation]. University Utrecht; 2018. Available from: https://dspace.library.uu.nl/handle/1874/371385 ; URN:NBN:NL:UI:10-1874-371385 ; 1874/371385 ; urn:isbn:9789463323949 ; URN:NBN:NL:UI:10-1874-371385 ; https://dspace.library.uu.nl/handle/1874/371385

14. Ryan, Oisín. Dynamic Systems and Causal Structures in Psychology: Connecting Data and Theory.

Degree: 2020, University Utrecht

 Psychological phenomena are inherently dynamic in nature. Our cognitions, emotions, dispositions and abilities all evolve and vary over time within an individual. This perspective has… (more)

Subjects/Keywords: dynamical systems; causal modeling; psychology; psychopathology; continuous-time models; differential equations; formal theory; graphical models; intensive longitudinal data; network approach

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

APA (6th Edition):

Ryan, O. (2020). Dynamic Systems and Causal Structures in Psychology: Connecting Data and Theory. (Doctoral Dissertation). University Utrecht. Retrieved from https://dspace.library.uu.nl/handle/1874/400005 ; URN:NBN:NL:UI:10-1874-400005 ; 10.33540/258 ; 1874/400005 ; urn:isbn:9789464161458 ; URN:NBN:NL:UI:10-1874-400005 ; https://dspace.library.uu.nl/handle/1874/400005

Chicago Manual of Style (16th Edition):

Ryan, Oisín. “Dynamic Systems and Causal Structures in Psychology: Connecting Data and Theory.” 2020. Doctoral Dissertation, University Utrecht. Accessed January 21, 2021. https://dspace.library.uu.nl/handle/1874/400005 ; URN:NBN:NL:UI:10-1874-400005 ; 10.33540/258 ; 1874/400005 ; urn:isbn:9789464161458 ; URN:NBN:NL:UI:10-1874-400005 ; https://dspace.library.uu.nl/handle/1874/400005.

MLA Handbook (7th Edition):

Ryan, Oisín. “Dynamic Systems and Causal Structures in Psychology: Connecting Data and Theory.” 2020. Web. 21 Jan 2021.

Vancouver:

Ryan O. Dynamic Systems and Causal Structures in Psychology: Connecting Data and Theory. [Internet] [Doctoral dissertation]. University Utrecht; 2020. [cited 2021 Jan 21]. Available from: https://dspace.library.uu.nl/handle/1874/400005 ; URN:NBN:NL:UI:10-1874-400005 ; 10.33540/258 ; 1874/400005 ; urn:isbn:9789464161458 ; URN:NBN:NL:UI:10-1874-400005 ; https://dspace.library.uu.nl/handle/1874/400005.

Council of Science Editors:

Ryan O. Dynamic Systems and Causal Structures in Psychology: Connecting Data and Theory. [Doctoral Dissertation]. University Utrecht; 2020. Available from: https://dspace.library.uu.nl/handle/1874/400005 ; URN:NBN:NL:UI:10-1874-400005 ; 10.33540/258 ; 1874/400005 ; urn:isbn:9789464161458 ; URN:NBN:NL:UI:10-1874-400005 ; https://dspace.library.uu.nl/handle/1874/400005

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