Cargando…

High-Dimensional Additive Hazards Regression for Oral Squamous Cell Carcinoma Using Microarray Data: A Comparative Study

Microarray technology results in high-dimensional and low-sample size data sets. Therefore, fitting sparse models is substantial because only a small number of influential genes can reliably be identified. A number of variable selection approaches have been proposed for high-dimensional time-to-even...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hamidi, Omid, Tapak, Lily, Jafarzadeh Kohneloo, Aarefeh, Sadeghifar, Majid
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2014
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055233/ https://www.ncbi.nlm.nih.gov/pubmed/24982876 http://dx.doi.org/10.1155/2014/393280

Ejemplares similares

Predicting the Survival Time for Bladder Cancer Using an Additive Hazards Model in Microarray Data
por: TAPAK, Leili, et al.
Publicado: (2016)

Identification of Prognostic Biomarkers for Breast Cancer Metastasis Using Penalized Additive Hazards Regression Model
por: Tapak, Leili, et al.
Publicado: (2023)

Regularized Weighted Nonparametric Likelihood Approach for High-Dimension Sparse Subdistribution Hazards Model for Competing Risk Data
por: Tapak, Leili, et al.
Publicado: (2021)

Frequency and Predisposing Factors for Drug-Induced Hypoglycemia in Patients with Type-2 Diabetes Mellitus: A Comment
por: Gorgzadeh, Nazanin, et al.
Publicado: (2020)

Multistate recursively imputed survival trees for time-to-event data analysis: an application to AIDS and mortality post-HIV infection data
por: Tapak, Leili, et al.
Publicado: (2018)

Prescribing Pattern and Prescription-writing Quality of Antineoplastic Agents in the Capital City of a Middle-income Developing Country
por: Taghizadeh-Ghehi, Maryam, et al.
Publicado: (2018)

Out of Pocket Payment and Affordability of Medication for Geriatric Patients in Tehran, Iran
por: ZARIF-YEGANEH, Morvarid, et al.
Publicado: (2019)

Assessment of Antibiotic Dispensing Practice in Community Pharmacies of Tehran, for 2 Common Infectious Symptoms, Using Simulated Patient Method
por: Soltani, Delaram, et al.
Publicado: (2020)

Competing Risks Data Analysis with High-dimensional Covariates: An Application in Bladder Cancer
por: Tapak, Leili, et al.
Publicado: (2015)

Real-Data Comparison of Data Mining Methods in Prediction of Diabetes in Iran
por: Tapak, Lily, et al.
Publicado: (2013)

Comparative evaluation of time series models for predicting influenza outbreaks: application of influenza-like illness data from sentinel sites of healthcare centers in Iran
por: Tapak, Leili, et al.
Publicado: (2019)

Predicting preeclampsia and related risk factors using data mining approaches: A cross-sectional study
por: Manoochehri, Zohreh, et al.
Publicado: (2021)

Additive Hazard Regression Models: An Application to the Natural History of Human Papillomavirus
por: Xie, Xianhong, et al.
Publicado: (2013)

A strategy for optimal fitting of multiplicative and additive hazards regression models
por: Lefebvre, François, et al.
Publicado: (2021)

Proportional hazards regression
por: O'Quigley, John
Publicado: (2006)

Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests
por: HAMIDI, Omid, et al.
Publicado: (2016)

Prediction of Kidney Graft Rejection Using Artificial Neural Network
por: Tapak, Leili, et al.
Publicado: (2017)

Potential hazards due to food additives in oral hygiene products
por: Tuncer Budanur, Damla, et al.
Publicado: (2016)

High-Dimensional Mediation Analysis Based on Additive Hazards Model for Survival Data
por: Cui, Yidan, et al.
Publicado: (2021)

Landmark Prediction of Survival for Breast Cancer Patients: A Case Study in Tehran, Iran
por: ALAFCHI, Behnaz, et al.
Publicado: (2019)

Cortical thickness analysis in temporal lobe epilepsy using fully Bayesian spectral method in magnetic resonance imaging
por: Sarbisheh, Iman, et al.
Publicado: (2022)

Additive-multiplicative hazards regression models for interval-censored semi-competing risks data with missing intermediate events
por: Kim, Jinheum, et al.
Publicado: (2019)

Gene Selection using a High-Dimensional Regression Model with Microarrays in Cancer Prognostic Studies
por: Kaneko, Shuhei, et al.
Publicado: (2012)

Application of data mining techniques and logistic regression to model drug use transition to injection: a case study in drug use treatment centers in Kermanshah Province, Iran
por: Najafi-Ghobadi, Somayeh, et al.
Publicado: (2019)

Prediction of biomarkers of oral squamous cell carcinoma using microarray technology
por: Li, Guang, et al.
Publicado: (2017)

Biased proportional hazard regression estimator in the existence of collinearity
por: Sirohi, Anu, et al.
Publicado: (2023)

Determination of the origin of oral squamous cell carcinoma by microarray analysis: Squamous epithelium or minor salivary gland?
por: Kinouchi, Makoto, et al.
Publicado: (2018)

Plastic additives: challenges in ecotox hazard assessment
por: Barrick, Andrew, et al.
Publicado: (2021)

The Stanford Microarray Database accommodates additional microarray platforms and data formats
por: Ball, Catherine A., et al.
Publicado: (2005)

Prediction of Early Breast Cancer Metastasis from DNA Microarray Data Using High-Dimensional Cox Regression Models
por: Zemmour, Christophe, et al.
Publicado: (2015)

Microarray-based gene expression profiling for early detection of oral squamous cell carcinoma
por: Ramaswamyreddy, Shwetha Hulimavu, et al.
Publicado: (2018)

Comparison of Cox proportional hazards regression and generalized Cox regression models applied in dementia risk prediction
por: Goerdten, Jantje, et al.
Publicado: (2020)

Modern Environmental Health Hazards in Africa: Additional Comments
por: Dórea, José G.
Publicado: (2009)

Prevalence and Determinants of Preterm Birth in Tehran, Iran: A Comparison between Logistic Regression and Decision Tree Methods
por: Amini, Payam, et al.
Publicado: (2017)

PSHREG: A SAS macro for proportional and nonproportional subdistribution hazards regression
por: Kohl, Maria, et al.
Publicado: (2015)

Mapping wind erosion hazard with regression-based machine learning algorithms
por: Gholami, Hamid, et al.
Publicado: (2020)

Evaluating the Outcome of an Unnecessary Request for CT Scan in Be'sat Hospital of Hamadan
por: Khosravi, Hossein, et al.
Publicado: (2023)

Analysis of clinicopathological characteristics associated with the outcome of oral squamous cell carcinoma and the establishment of tissue microarrays
por: Jin, Xin, et al.
Publicado: (2016)

Additive risk survival model with microarray data
por: Ma, Shuangge, et al.
Publicado: (2007)

A robust fuzzy multi-objective location-routing problem for hazardous waste under uncertain conditions
por: Raeisi, Diba, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_o2o1vgs5gsqcr3eiff2vm4k5uj