Majid sadeghifar

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Majid sadeghifar
Name Majid sadeghifar
Affiliation بازنشسته ی دانشگاه بوعلی سینا
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 TitleJournal
1 Predicting the incidence of brucellosis in Western Iran using Markov switching model BMC Research Notes
2 Forecasting New Cases of Bipolar Disorder Using Poisson Hidden Markov Model International Clinical Neuroscience Journal
3 Multistate recursively imputed survival trees for time-to-event data analysis: an application to AIDS and mortality post-HIV infection data BMC Medical Research Methodology
4 Application of log-normal parametric model in disability structure to predict metastasis and death due to breast cancer Koomesh
5 Application of Poisson Hidden Markov Model to Predict Number of PM2.5 Exceedance Days in Tehran During 2016-2017 Avicenna Journal of Environmental Health Engineering
6 The application of Poisson hidden Markov model to forecasting new cases of congenital hypothyroidism in Khuzestan province Journal of Biostatistics and Epidemiology
7 Relationship between Urbanization and Cancer Incidence in Iran Using Quantile Regression Asian Pacific Journal of Cancer Prevention
8 Competing Risks Data Analysis with High-dimensional Covariates: An Application in Bladder Cancer GENOMICS PROTEOMICS & BIOINFORMATICS
9 Predicting the Survival Time for Bladder Cancer Using an Addi-tive Hazards Model in Microarray Data Iranian Journal of Public Health
10 non-dominated sorting genetic algorithm approach to the multi-objective economic statistical design of variable sampling interval T^2 control charts. Hacettepe Journal of Mathematics and Statistics
11 Predicting Hepatitis B Monthly Incidence Rates Using Weighted Markov Chains and Time Series Methods Journal of Research in Health Sciences
12 A comparative study of support vector machines and artificial neural networks for predicting precipitation in Iran Theoretical and Applied Climatology
13 High-Dimensional Additive Hazards Regression for Oral Squamous Cell Carcinoma Using Microarray Data: A Comparative Study Biomed Research International
14 Evaluation of the economic statistical design of the multivariate T2 control chart with multiple variable sampling intervals scheme: NSGA-II approach JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION