| A comparative study of support vector machines and artificial neural networks for predicting precipitation in Iran O Hamidi, J Poorolajal, M Sadeghifar, H Abbasi, Z Maryanaji, HR Faridi, ... Theoretical and applied climatology 119, 723-731, 2015 | 58 | 2015 |
| Competing risks data analysis with high-dimensional covariates: an application in bladder cancer L Tapak, M Saidijam, M Sadeghifar, J Poorolajal, H Mahjub Genomics, Proteomics and Bioinformatics 13 (3), 169-176, 2015 | 31 | 2015 |
| Relationship between urbanization and cancer incidence in Iran using quantile regression S Momenyan, M Sadeghifar, F Sarvi, M Khodadost, A Mosavi-Jarrahi, ... Asian Pacific Journal of Cancer Prevention 17, 113-117, 2016 | 30 | 2016 |
| Distribution of metals (Cu, Zn, Pb, and Cd) in sediments of the Anzali Lagoon, north Iran B Rafiei, FA Ghomi, L Ardebili, M Sadeghifar, SHK Sharifi Soil and Sediment Contamination: An International Journal 21 (6), 768-787, 2012 | 23 | 2012 |
| A study on depression and anxiety related factors in Hamedan Medical Sciences University students H Maleki, Y Mottaghipoor, M Sadeghifar Tehran University of Medical Sciences Journal 55 (6), 79-85, 1997 | 11 | 1997 |
| Multistate recursively imputed survival trees for time-to-event data analysis: an application to AIDS and mortality post-HIV infection data L Tapak, MR Kosorok, M Sadeghifar, O Hamidi BMC medical research methodology 18, 1-12, 2018 | 10 | 2018 |
| Modelling the Frequency of Depression using Holt-Winters Exponential Smoothing Method. P Amini, A Ghaleiha, E Zarean, M Sadeghifar, ME Ghaffari, Z Taslimi, ... Journal of Clinical & Diagnostic Research 12 (10), 2018 | 8 | 2018 |
| Predicting hepatitis B monthly incidence rates using weighted Markov chains and time series methods M Shahdoust, M Sadeghifar, J Poorolajal, N Javanrooh, P Amini JOURNAL OF RESEARCH IN HEALTH SCIENCES (JRHS) 15 (1), 28-31, 2015 | 8 | 2015 |
| Predicting preeclampsia and related risk factors using data mining approaches: A cross-sectional study Z Manoochehri, S Manoochehri, F Soltani, L Tapak, M Sadeghifar International Journal of Reproductive BioMedicine 19 (11), 959, 2021 | 7 | 2021 |
| Predicting the survival time for bladder cancer using an additive hazards model in microarray data L Tapak, H Mahjub, M Sadeghifar, M Saidijam, J Poorolajal Iranian Journal of Public Health 45 (2), 239, 2016 | 7 | 2016 |
| High-dimensional additive hazards regression for oral squamous cell carcinoma using microarray data: a comparative study O Hamidi, L Tapak, A Jafarzadeh Kohneloo, M Sadeghifar BioMed Research International 2014, 2014 | 7 | 2014 |
| Application of Poisson Hidden Markov model to predict number of PM2. 5 exceedance days in Tehran during 2016-2017 F Sarvi, A Nadali, M Khodadost, MK Moghaddam, M Sadeghifar Avicenna Journal of Environmental Health Engineering 4 (1), 58031-58031, 2017 | 6 | 2017 |
| The impact of control measures and holiday seasons on incidence and mortality rate of COVID-19 in Iran S Haji-Maghsoudi, M Sadeghifar, G Roshanaei, H Mahjub Journal of Research in Health Sciences 20 (4), e00500, 2020 | 5 | 2020 |
| The application of Poisson hidden Markov model to forecasting new cases of congenital hypothyroidism in Khuzestan province M Sadeghifar, M Seyed-Tabib, S Haji-Maghsoudi, K Noemani, ... Journal of Biostatistics and Epidemiology 2 (1), 14-19, 2016 | 5 | 2016 |
| Predicting the incidence of brucellosis in Western Iran using Markov switching model M Mohammadian-Khoshnoud, M Sadeghifar, Z Cheraghi, Z Hosseinkhani BMC Research Notes 14, 1-6, 2021 | 3 | 2021 |
| Regularized Weighted Nonparametric Likelihood Approach for High-Dimension Sparse Subdistribution Hazards Model for Competing Risk Data L Tapak, MR Kosorok, M Sadeghifar, O Hamidi, S Afshar, H Doosti Computational and Mathematical Methods in Medicine 2021, 2021 | 3 | 2021 |
| Grey Prediction GM (1, 1) Model for Forecasting the Number of Hospitalized Patients with Bipolar Disorder B Alafchi, R Najafi-Vosough, H Shanazy, A Ghaleiha, M Sadeghifar 14th Iranian Statistics Conference, 1-7, 2018 | 3 | 2018 |
| Forecasting new cases of bipolar disorder using Poisson Hidden Markov Model B Alafchi, S Yazdi-Ravandi, R Najafi-Vosough, A Ghaleiha, M Sadeghifar International Clinical Neuroscience Journal 5 (1), 7, 2018 | 3 | 2018 |
| Forecasting schizophrenia incidence frequencies using time series approach ME Ghaffari, A Ghaleiha, Z Taslimi, F Sarvi, P Amini, M Sadeghifar, ... International Clinical Neuroscience Journal 4 (4), 152, 2017 | 3 | 2017 |
| Application of hidden markov model in forecasting new cases of tuberculosis in Hamadan province based on the recorded cases during 2006-2016 M Safari, M Sadeghifar, GH Roshanaei, A Zahiri Iranian Journal of Epidemiology 14 (200154), 126-135, 2018 | 2 | 2018 |
