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A Basic Course in probability theory - S. Axler

A First Course in Bayesian Statistical Methods – Hoff

A Guide to Teaching Statistics - Hulsizer

a practical guied to Quality Management in clinical trial research - Ogg

A Probability Path – Resnick

Advanced Calculus With Applications In Statistics - 2nd – Khuri


advances in Data Analysis – Decker

All of Nonparametric statistics - Wasserman

An Introduction to Probability (volume 1) – Feller

An Introduction to Stochastic Modeling – 3rd – Taylor

Applied Bayesian Modeling and Causal Inference from Incomplete Data Perspectives - Andrew Gelman

Applied Bayesian Modelling - Congdon

Applied Linear Regression -3rd - Sanford Weisberg

Applied Linear Statistical Models - 5th - John Neter

Applied Logistic Regression - 2nd - Hosmer & Lemeshow

Applied Longitudinal Analysis - Ware

Applied Longitudinal Data - Twisk

Applied Mixed Models in medicine - 2nd - Helen Brown

Applied Regression Analysis -3rd - Draper & Smith

Basic Biostatistics for Geneticists and Epidemiologists – Johnson

BASIC STATISTICS - A Primer for the Biomedical Sciences - 4th - Dunn

Bayes and Empirical Bayes Methods for Data Analysis - 2nd - Carlin

Bayesian Adaptive Methods for Clinical Trials –Berry

Bayesian Approaches To Clinical Trials And Health-Care Evaluation –Spiegelhalter

Bayesian Data Analysis - 2nd - Carlin

Bayesian Modeling in the Social Sciences - Jackman

Bayesian Modeling Using WinBUGS - Ioannis Ntzoufras

Bayesian Statistical Modelling - 2nd - Congdon

Bioinformatics For Dummies – Claverie

Biostatistical Methods - JOHN M. LACHIN

Biostatistical Methods in ephdemiology – NEWMAN

biostatistics A Methodology for the Health Sciences - 2nd – BELLE

Categorical Data Analysis - 2nd - Alen Agresti

Clinical Trials A Methodologic Perspective - 2nd – PIANTADOSI

Common Errors In Statistics (And How To Avoid Them) – Hardin

Competing Risks A Practical Perspective (2006)

Continuous Bivariate Distributions – Balakrishnan

Continuous Multivariate Distribution - 2nd – Samuel Kotz

Correlated Data Analysis – Verbeke

Data Analysis Using Regression and Multilevel Hierarchical Models –GELMAN

Data Analysis using the method of least squres – Wolberg

Data Monitoring in clinical trial - Lawrence M. Friedman

Design and Analysis of Clinical Trials - 2nd – Chow

Design and Analysis of Experiements - 2nd - Kempthorne

Design and Analysis of Experiments - Montgomeri - Solutions

Elementary Statistics

Empirical liklihood – Owen

Encyclopedia of Biostatistics - 2nd - Colton

Encyclopedia of Statistical Sciences - 2nd - Kotz

Exploring Monte Carlo Methods – Dunn

Fundamentals of Clinical Trials - 4th – Furberg

Game Theory – Webb



Genetics Demystified

Genetics For Dummies

Handbook of Statistical Genetics – 3rd

Handbook on Analyzing Human Genetic Data Computational Approaches and Software - Shili Lin

How to Lie with Statistics

How to Tell the Liars from the Statisticians –Hook

Inroduction to Bayesian Statistics - 2nd - Bolstad


Introduction to Categorical Data Analysis - 2nd - Alen Agresti

Introduction To Mathematical Statistics_Solutions – Hogg

Introduction to Meta-Analysis – Michael Borenstein

Introduction to Probability Theory – Hoel

Introduction to stochastic processes – Hoel

INTRODUCTORY to biostatistics - CHAP T. LE

Linear and Generalized Linear Mixed Models and Their Applications – Jiang

linear mixed models for longitudinal data - Verbeke

Linear Models in Statistics – Rencher

Linear Statistical Inference and Its Application - 2nd – Rao

Logistic Regression -3rd - David G. Kleinbaum

Longitudinal Data Analysis - Fitzmaurice

Longitudinal Research with Latent Variables - Montfort

Markov Chain Monte Carlo in Practice – Gilks

Markov Chains - Gibbs Fields Monte Carlo Simulation & Queues

Mathematical and Statistical Methods for Genetic Analysis – Lange

Mathematical Statistics - 2nd – Shao

Mathematical Statistics – Ferguson

Measure Theory and Probability Theory – Athreya

Meta-Analysis of Controlled Clinical Trials – Whitehead

Method Validation in Pharmaceutical Analysis - Ermer

Methods in Nonlinear Analysis - Chang

Methods of Multivariate Analysis - 2nd - Alvin C. Rencher

Models for Discrete Longitudinal Data - Verbeke

Monte Carlo & Quasi Monte Carlo Sampling - Christiane Lemieux

Monte Carlo Concepts Algorithms & Applications – Fishman

Monte Carlo Methods For Applied Scientists – Dimov

Monte Carlo Statistical Methods - 2nd – Robert

Multilevel Statistical Models - 4th - Goldstein

Philosophical Theories of Probability – Gillies

Principles of Mathematical Analysis -3rd – Rudin

Principles of Statistical Inference – Cox

Recursive Partitioning and Applications - 2nd - Zhang

Regression Analysis by Example - 4th - SAMPRIT CHATTEFUEE

Regression Methods in Biostatistics - Stephen C. Shiboski

Robust Statistics – Maronna

Sample Size Calculations in Clinical Research - 2nd – Chow

Sample Sizes for Clinical Trials – Julious

Sampling Algorithms - Yves Tille

Sampling Techniques – Cochran

Statistical Decision Theory and Bayesian Analysis - 2nd – Berger

Statistical Design - George Casella

Statistical Dictionary (English to Persian)

Statistical Dictionary (Persian to English)

statistical distribution - 2nd – Evans

Statistical Inference – Casella

Statistical Issues in Drug Developments - 2nd - Stephen Senn

Statistical Methods for Rates and Proportions -3rd - BRUCE LEVIN

Statistical Methods for Survival Data Analysis - 3rd - Lee

Statistical Methods in Bioinformatics - 2nd – Ewens

Statistical Models and Methods for Lifetime Data - 2nd - Lawless

Statistics for Experimenters - 2nd – Box


Statistics In Genetics  Lecture Notes – ALMGREN

Survival Analysis - 3rd - Kleinbaum D.G

Survival analysis techniques for censored & truncated data - 2nd –Klein

tahlil bagha – Miller

Textbook of Clinical Trials –Machin

The Bayesian Choice - 2nd – Robert

The Coordinate-Free Approach to Linear Models - WICHURA

The Design of Experiments - Fisher

The Elements of Statistical Learning - 2nd - Hastie

The EM Algorithm and related Statistical Models - Wa tana be

The Fundamentals of Modern Statistical Genetics – Laird

Theory of Point Estimation -2nd - E.L.Lehmann, G.Casella


Sofwer Books

A Beginner's  Guide to R

A handbook of statistical analyses using R

An Introduction to R

Applied Statistical Genetics with R

Bayesian Computation With R - 2nd - Jim Albert

Data Analysis and Graphics Using R

Data Manipulation with R

Introducing Monte Carlo Methods with R – Robert

Introduction to Probability Simulation & Gibbs Sampling with R

Introductory Statistics with R

mixed-effect model in S and S-PLUS

Modern Applied Statistics With S

Modern Applied Statistics with S

R - Lattice - Multivariate Data Visualization with R


R Manual to Accompany Categorical Data Analysis - 2nd - Laura A. Thompson


SAS 9.2 SQL Procedure Users Guide

SAS for mixed models


Software for Data Analysis Programming with R

R - Mousavi - Farsi

R - Mosalman - Farsi


Survival Analysis Using SAS

The R Book

TheRGuide - Owen

Using R for Data Analysis and Graphics

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