# Hakan Demirtaş

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/hakan-demirtas/

## Facts

| Field | Value |
| --- | --- |
| Citations | 4,502 |
| Field | Statistical Methods and Bayesian Inference |
| h-index | 30 |
| i10-index | 63 |
| OpenAlex ID | https://openalex.org/A5070974108 |
| ORCID iD | 0000-0003-2482-703X |
| Works | 153 |

## Researcher papers

- [Flexible Imputation of Missing Data](https://scholariq.org/papers/flexible-imputation-of-missing-data/)
- [Efficacy of folic acid supplementation in stroke prevention: a meta-analysis](https://scholariq.org/papers/efficacy-of-folic-acid-supplementation-in-stroke-prevention-a-meta-analysis/)
- [An Application of a Mixed‐Effects Location Scale Model for Analysis of Ecological Momentary Assessment (EMA) Data](https://scholariq.org/papers/an-application-of-a-mixed-effects-location-scale-model-for-analysis-of/)
- [Learning With Technology: The Impact of Laptop Use on Student Achievement](https://scholariq.org/papers/learning-with-technology-the-impact-of-laptop-use-on-student-achievement/)
- [Modeling between‐subject and within‐subject variances in ecological momentary assessment data using mixed‐effects location scale models](https://scholariq.org/papers/modeling-between-subject-and-within-subject-variances-in-ecological-momentary/)
- [On the performance of random‐coefficient pattern‐mixture models for non‐ignorable drop‐out](https://scholariq.org/papers/on-the-performance-of-random-coefficient-pattern-mixture-models-for-non/)
- [Analysis of binary outcomes with missing data: missing = smoking, last observation carried forward, and a little multiple imputation](https://scholariq.org/papers/analysis-of-binary-outcomes-with-missing-data-missing-smoking-last-observation/)
- [Plausibility of multivariate normality assumption when multiply imputing non-Gaussian continuous outcomes: a simulation assessment](https://scholariq.org/papers/plausibility-of-multivariate-normality-assumption-when-multiply-imputing-non/)
- [Familial aggregation of food allergy and sensitization to food allergens: a family‐based study](https://scholariq.org/papers/familial-aggregation-of-food-allergy-and-sensitization-to-food-allergens-a/)
- [Simulation driven inferences for multiply imputed longitudinal datasets*](https://scholariq.org/papers/simulation-driven-inferences-for-multiply-imputed-longitudinal-datasets/)

## Researcher topics

- [Statistical Methods and Bayesian Inference](https://scholariq.org/topics/statistical-methods-and-bayesian-inference/)
- [Statistical Methods and Inference](https://scholariq.org/topics/statistical-methods-and-inference/)
- [Bayesian Methods and Mixture Models](https://scholariq.org/topics/bayesian-methods-and-mixture-models/)
- [Statistical Methods in Clinical Trials](https://scholariq.org/topics/statistical-methods-in-clinical-trials/)
- [Advanced Causal Inference Techniques](https://scholariq.org/topics/advanced-causal-inference-techniques/)

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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.