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Journal of Medical Statistics and Informatics
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Original Research
Comparison of performance of exponential, Cox proportional hazards, weibull and frailty survival models for analysis of small sample size data
Introduction The Cox proportional hazards (PH) model is the most widely used approach in survival analysis of clinical trials because it requires few assumptions [1]. The model was proposed by Cox in 1972 for analysis of survival data with and without censoring; for identifying differences in survival
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Herbert publication is happy to introduce membership for the benefits of the authors to get rid of article processing charges and to provide additional benefits.
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Herbert Publications | Membership | HOAJonline.com
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Call for Paper 2015
Paper Submission Deadline: 30th June, 2015
Current Issue: May - 2015 (Volume 3, Issue 1).
Journal of Medical Statistics and Informatics Invites you to submit articles Which include Original, Research, Review, Case report, Commentary, Methodology , Editorial , Letter to the Editor, Technical Advance ,etc.
http://www.hoajonline.com/medicalstat
http://www.hoajonline.com/submitmanuscript.php
Journal of Medical Statistics and Informatics Scope Covers Survival Analysis, Statistical Computing, Pharmaceutical statistics, statistical genetics, epidemiologic statistics, Statistical methodology, Biostatistics, Bioinformatics e.t.c
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Article Metrics Provide clear insights about Article views, PDF downloads, Citation of articles, Social media likes and sharing.
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Tagline
Journal of Medical Statistics and Informatics aims to disseminate the advances of statistical applications, quantitative methods and bio-informatics to solve the problems in clinical and medical research.
Introduction
Journal Of Medical Statistics And Informatics enhances essential communication of statistical theories, methodologies and biomedical informatics among clinicians, medical statisticians, healthcare professionals and computational biologists.

The scope of the Journal encompasses epidemiology, public health, pharmacy, data mining and data analysis and welcomes research articles, reviews and methodologies covering all aspects of bio-statistics and bio-informatics in medicine.

Subject areas:

Survival Analysis
Statistical Computing
Clincal trials
Biostatistics
Bioinformatics
Public health
Health statistics
Forensic medicine
Domain analysis
Basic epidemiology
Molecular epidemiology
Pharmaceutical statistics
statistical genetics
epidemiologic statistics
Statistical methodology

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+9140 658 970 91
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+9140 401 826 82