A5043801154- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Bayesian Methods and Mixture Models
- Advanced Statistical Methods and Models
- Gene expression and cancer classification
- Dental Anxiety and Anesthesia Techniques
- Forecasting Techniques and Applications
- Statistical Methods in Clinical Trials
- Pain Management and Opioid Use
- Bioinformatics and Genomic Networks
- Statistical Distribution Estimation and Applications
- Molecular Biology Techniques and Applications
- Spatial and Panel Data Analysis
- Economic and Environmental Valuation
- Endodontics and Root Canal Treatments
- Genetic Associations and Epidemiology
- Statistics Education and Methodologies
- Machine Fault Diagnosis Techniques
- Image Enhancement Techniques
- Genetic Mapping and Diversity in Plants and Animals
- Educational Assessment and Pedagogy
- Telomeres, Telomerase, and Senescence
- Astro and Planetary Science
- Educational Methods and Analysis
- Viral gastroenteritis research and epidemiology
Middle East Technical University
2014-2025
Ankara University
2006
Iowa State University
2004
Box–Cox power transformation is a commonly used methodology to transform the distribution of data into normal distribution. The relies on single parameter. In this study, we focus estimation For purpose, employ seven popular goodness-of-fit tests for normality, namely Shapiro–Wilk, Anderson–Darling, Cramer-von Mises, Pearson Chi-square, Shapiro-Francia, Lilliefors and Jarque–Bera tests, together with searching algorithm. algorithm based finding argument minimum or maximum depending test,...
Senescence is a permanent proliferation arrest in response to cell stress such as DNA damage. It contributes strongly tissue aging and serves major barrier against tumor development. Most cells are believed bypass the senescence (become "immortal") by inactivating growth control genes TP53 CDKN2A. They also reactivate telomerase reverse transcriptase. Senescence-to-immortality transition accompanied phenotypic biochemical changes mediated genome-wide transcriptional modifications. This...
OBJECTIVE: This paper aims to search for sociodemographic/ dental models predicting the self-care orientations in endodontic patients and explore effectiveness of applied methods relieving pain. MATERIALS AND METHOD: Patients with a history pain presenting at clinic Gazi University were subjected survey. Their sociodemographic clinical data obtained. They asked select from structured list whether they had used any self- or formal care methods. Pain relief was measured using 5-point standard...
Box-Cox transformation is one of the most commonly used methodologies when data do not follow normal distribution. However, its use restricted since it usually requires availability covariates. In this article, a non-informative auxiliary variable proposed for implementation transformation. Simulation studies are conducted to illustrate that approach successful in attaining normality under different sample sizes and distributions estimating parameter mean-variance combinations. Methodology...
ABSTRACT Objectives: First to compare different dentin bonding agents’ shear bond strength primary and permanent dentin. Secondly the fracture failure modes making an attempt develop a statistical model that could be helpful in predicting them. Methods: Extracted human molars were used as substrates (dentin). The of composite substrate was measured surfaces evaluated visually with stereomicroscope. Using data obtained, built order predict modes. Results: Higher values obtained for Total-etch...
Abstract Generalized linear models with random effects and/or serial dependence are commonly used to analyze longitudinal data. However, the computation and interpretation of marginal covariate can be difficult. This led Heagerty (1999, 2002) propose for binary data in which a logistic regression is first explain average response. The model then completed by introducing conditional that allows longitudinal, within‐subject, dependence, either via or regressing on previous responses. In this...
This prospective observational study sought to investigate the incidence of intraoperative pain (IOP) among emergency endodontic patients and construct an IOP prediction model that includes preoperative level (PPL). All who underwent treatment at Gazi University, Ankara, Turkey, during spring term 2016 were considered for inclusion in study. Demographic clinical variables PPL recorded. Local anesthesia was provided all before beginning routine treatment. defined as condition requiring...
In this study, we construct a feasible region, in which maximize the likelihood function, by using Shapiro–Wilk and Bartlett's test statistics to obtain Box–Cox power transformation parameter for solving issues of non-normality and/or heterogeneity variances analysis variance (ANOVA). Simulation studies illustrate that proposed approach is more successful attaining normality stabilization, at least as good usual maximum estimation (MLE) estimating different conditions. Our method illustrated...
ABSTRACT Condition Based Maintenance (CBM) is based on the assessment of equipment state which obtained by measuring some indicators. When there uncertainty concerning equipment, measurements gathered are called imperfect. In this case aging and degradation process assumed to follow a Markov modeled Hidden Model (HMM). This article describes general procedure that can be used estimate parameters HMM. It Expectation-Maximization (EM) algorithm. The deals with independent as well correlated...
Marginalised models, also known as marginally specified have recently become a popular tool for analysis of discrete longitudinal data. Despite being novel statistical methodology, these models introduce complex constraint equations and model fitting algorithms. On the other hand, there is lack publicly available software to fit models. In this paper, we propose three-level marginalised multivariate binary outcome. The implicit function theorem introduced approximately solve marginal...
AbstractDetermining the factors related to financial failure of a company is important. In this paper, we extend literature on bank prediction by modelling failures in Turkey from 1998 2000 using three statistical models combined with principal component analysis ratios. The employed are logistic regression, regression that takes serial correlation into account via generalized estimating equations and marginalized transition model (MTM). Time ratios capital adequacy profitability, risk,...
International large-scale assessments have a key role in improving educational, economical, and political systems. By using the data of these assessments, countries can draw conclusions about status educational Studies reports generally tend to choose variables available set model relationships among variables. In this study, we aimed introduce variable selection method analyze be able decide which might included modelling country data. We used entire Türkiye PISA 2015 through elastic net...