Anoshiravan Kazemnejad
Professor
Speciality: Biostatistics
  • BS/BA: Pure Mathematics
  • MS: Biostatistics
  • PhD: Biostatistics
  • Phone: 82883875
  • Fax: 82884555
  • Email: kazem_an@modares.ac.ir
    • Address: School of Medical Sciences, Tarbiat Modares University
  • Resume Download
 
Thesis
 
I have been responsible for submission of the following M.Sc. and Ph.D. thesis.
 
Supervisor:
 
M.Sc. Students.
 
  1. Application of Logistic Regression and log-log Models to determination of  Some Effective Factors Causing Increase of HbA1c in Diabetics Patients being under Treatment in    Kashan ,Farshbaf A.,1998.
  2. Application  of  Poisson  Regression  Model  for  identifying related risk Factors to Ovarian Cyst during Norplant Use, Ale abrishamkarzadeh M.,1999.
  3. Statistical  Methods  and  GLM’s  for  Matched Data and its application for Auscultation of Lung in residents of Tehran Province, Zayeri F., 1999.
  4. Application of Mixture Models in Assessing Diagnostic Criterion for Diabetes, Choodari Oskooei B., 2000.
  5. Application of suitable Statistical Models for Assessing Effective Factors in the Survival of Thalassemia patient in Hormozgan Province, Alemoazzez M.,2000.  
  6. Application  of  Taguchi  Orthogonal  Design in Determination of Condition for Diphtheria Toxin  production in Lab, salehi, M. 2001.
  7. Croup sequential Methods and application in clinical trials, Rakhshani, M.H., 2001.
  8. Application  of  Negative   Binomial   Regression  to  Determine  factors   Associated   with Unwanted pregnancy, Karimi, Sh. 2002.
  9. Accelerated  Failure  time  model  and  Its  application in accessing the survival of pediatric corneal Transplantation, Sanagoo M., 2002.
  10. Application of shared frailty model in assessing the survival of common surgical operation for infantile Glaucoma, Mohebbi M.,2002.
  11. Application  of  Capture-Recapture  models  for  estimating  the  death  undercount    and  correcting the death rate, Taghaddosi I, 2002.
  12. Artificial  Neural  Net  work  Modols  for Predicting the Successful Rate of ART, Khafri S summer 2003
  13. Design  of  Hierarchical  logistic  regression  and  its application in predicting  of in – vitro fertilization with ICSI method and embryo transferred outcome., Faradmal J., June,  2004.
  14. Application  of  Buckley-James  regression in prediction renal transplant patients Survival. Zaferani E.,  Fall, 2004.
  15. Flexible  parametric  proportional  hazards  models  and  proportional-odds  for    censoredSurvival  data  and  its application to modeling of prognostic factors breast cancer, Birjandi M., November 2004.
  16. Application  of  mixture regression  in  modeling  inpatient's  length  of  stay  in       Iraniangovernmental hospital, M.R. Akhoond , summer 2005.
  17. Nonparametric  estimation  of survival function in right censored  and   left   truncated data and application of it to estimation of survival time of retired people of Social Security Insurance Company (SSIC), Gh. Gh. Rooshanaei, 2006.
  18. A Comparative    Study   of  Neural  Networks  and  Ordinary  Logistic  Regression       for Determination of Impaired Glucose Tolerance and diabetic patients, Ziba Batvandi, 2006.
 

Ph.D. Student
1.      Application   of  GLM’s   Models   in   two  period Crossover Clinical Trials with Carryover Effects, Gehani Hashami H.,Octember 2002.
2.      Artificial Neural Networks Architecture for  multivariate BinaryResponse modeling and its application to predict unwanted pregnancies, sadat Hashemi S.M., winter 2003
3.      Estimation  of   mixture   distribution   parameters  in survival analysis and its application in kidney transplantation.,  Razaee M., Summer 2004.
4.      Generalized    linear    models    for    correlated    ordinal  responses  :  application  to periodontal  condition  of  the students and neonatal hypothermia data, Zayeri F., Spring 2005.
5.      Modeling bivariate count data and its application in medicine data, Khafri S., winter 2008.