# Advanced Statistical Modeling Techniques

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/advanced-statistical-modeling-techniques/

## Facts

| Field | Value |
| --- | --- |
| Citations | 472,875 |
| Description | This cluster of papers focuses on the development and application of secure classical communication systems using Johnson noise and Kirchhoff's law. It also explores person-oriented research, machine learning algorithms, directional dependence analysis, and statistical packages like ROPstat for data analysis. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T13748 |
| Works | 20,656 |

## Topic papers all

- [Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences.](https://scholariq.org/papers/applied-multiple-regression-correlation-analysis-for-the-behavioral-sciences/)
- [Influence of Imputation and EM Methods on Factor Analysis when Item Nonresponse in Questionnaire Data is Nonignorable](https://scholariq.org/papers/influence-of-imputation-and-em-methods-on-factor-analysis-when-item-nonresponse/)
- [A review of ordinal regression models applied on health-related quality of life assessments](https://scholariq.org/papers/a-review-of-ordinal-regression-models-applied-on-health-related-quality-of-life/)
- [Retrofitting Diagnostic Classification Models to Responses From IRT-Based Assessment Forms](https://scholariq.org/papers/retrofitting-diagnostic-classification-models-to-responses-from-irt-based/)
- [Measurement Invariance of the Hospice Quality of Life Index-14 in Lung Cancer and Nonlung Cancer Patients Admitted to Hospice](https://scholariq.org/papers/measurement-invariance-of-the-hospice-quality-of-life-index-14-in-lung-cancer/)
- [Fifth House Ensemble](https://scholariq.org/papers/fifth-house-ensemble/)
- [ENHANCING QUANTUM CRYPTOGRAPHY WITH MACHINE AND DEEP LEARNING A HYBRID APPROACH FOR SECURE AND SCALABLE POST-QUANTUM SECURITY](https://scholariq.org/papers/enhancing-quantum-cryptography-with-machine-and-deep-learning-a-hybrid-approach/)

## Topic researchers

Showing 12 of 20.

- [Ronald C. Kessler](https://scholariq.org/researchers/ronald-c-kessler/)
- [Peter M. Bentler](https://scholariq.org/researchers/peter-m-bentler/)
- [Marko Sarstedt](https://scholariq.org/researchers/marko-sarstedt/)
- [Christian M. Ringle](https://scholariq.org/researchers/christian-m-ringle/)
- [Claes Fornell](https://scholariq.org/researchers/claes-fornell/)
- [David F. Larcker](https://scholariq.org/researchers/david-f-larcker/)
- [Jacob Cohen](https://scholariq.org/researchers/jacob-cohen/)
- [Michael I. Jordan](https://scholariq.org/researchers/michael-i-jordan/)
- [Jaakko Kaprio](https://scholariq.org/researchers/jaakko-kaprio/)
- [Jacob Cohen](https://scholariq.org/researchers/jacob-cohen-3/)
- [Andrew F. Hayes](https://scholariq.org/researchers/andrew-f-hayes/)
- [Joseph F. Hair](https://scholariq.org/researchers/joseph-f-hair/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.