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СТАТИСТИЧЕСКИЙ АНАЛИЗ ДАННЫХ ДЛЯ ДИССЕРТАНТОВ
Центр БИОСТАТИСТИКА выполняет работы по статистическому анализу экспериментальных данных уже более 30 лет. В его составе исследователи России, США, Израиля, Англии, Канады и других стран. Услугами Центра пользуются аспиранты и докторанты в области медицины, биологии, социологии, психологии и т.д. Стандартные сроки анализа данных: для статей и докладов - 5-10 дней, для кандидатских диссертаций 1 месяц, для докторских диссертаций 1,5 месяца. (См. далее)
Отзывы заказчиков по статистическому анализу данных
Дистантное обучение
биостатистике с помощью IP-телефонии. Информация о специализированных курсах и семинарах по прикладной
биостатистике для студентов, аспирантов, докторантов и научных
сотрудников НИИ и вузов работающих в области биологии, медицины, социологии, психологии и т.д. (См. далее)
Отзывы по дистантному обучению статистике
|
The R Reference Manual
Base Package.
Volume 1.
The R Development Core Team. |
The R Reference Manual
Base Package
Volume 2.
The R Development Core Team. |
| C. R. Rao. Linear Models: Least Squares and Alternatives. |
G. P. Quinn,
M.l J. Keough. Experimental Design and Data
Analysis for Biologists. |
| Sushmita Mitra and Tinku Acharya. Data mining: multimedia, soft computing, and bioinformatics. |
Probability and Statistics. (textbook, 508 pp) |
Randy L. Haupt. Practical genetic algorithms. (2004, 253 рр) |
John O. Rawlings. Applied Regression Analysis: a research tool. (671 pp) |
| Andrzej Polanski, Marek Kimmel. Bioinformatics. (2007, 376 pp) |
S. Rabe-Hesketh. Handbook of Statistical Analyses Using STATA. Fourth Edition. (2007, 342 pp) |
| S. Rabe-Hesketh. F Handbook of Statistical Analyses Using STATA. Second Edition. (2007, 342 pp) |
Fred Ramsey. The Statistical Sleuth. A Course in Methods of DataAnalysis. |
| The MATHEMATICA Handbook. MATHEMATICA by Example. Mastering MATHEMATICA. Differential Equations with MATHEMATICA. Introduction to Computer Performance Analysis with MATHEMATICA. (2250 pp). |
Models for Categorical Dependent Variables Using STATA. |
| SVETLOZAR T. RACHEV. Probability Metrics
and the Stability of
Stochastic Models. |
R. Ramanathan. An Introduction to
Data Envelopment Analysis.
A Tool for Performance Measurement.
|
| R. Rice. Applied Mathematics and Modelling for Chemical Engineers. (731 рр) |
BRIAN D. RIPLEY. Spatial Statistics |
| Paolo F. Ricci. Environmental and Health Risk Assessment
and Management. |
С R.Rao. Statistics for the 21st century : methodologies for applications of the future. (2000 , 483 pp) |
| George Roussas. Introduction to Probability
and Statistical Inference. (2003, 528 pp) |
Gotz Rohwer. Models in Statistical Social
Research. |
| John O. Rawlings. Applied Regression Analysis A Research Tool. (658 pp) |
W. Rosenberger. Randomization in Clinical Trials: Theory and Practice. (2002, 278 pp) |
| Tenko Raykov, George A. Marcoulides. An Introduction to Applied
Multivariate Analysis. |
J. Ramsay. Applied Functional Data Analysis. (2002, 190 pp) |
| Riffenburgh R. H. Statistics in Medicine. |
J. Ramsay. Applied Functional Data Analysis. (2005, 426 pp) |
RICHARD A. REYMENT. Applied Factor Analysis
in the Natural Sciences.
|
J. Ramsay. Functional Data Analysis
with R and MATLAB. (2005, 426 pp) |
| Kristina M. Ropella. Introduction to Statistics
for Biomedical Engineers. |
Clemens Reimann, Peter Filzmoser,
Robert G. Garrett, Rudolf Dutter. Statistical Data Analysis Explained.
Applied Environmental Statistics with R. |
| Bernard Rosner. Fundamentals of Biostatistics. |
Byron P. Roc. Probability and Statistics
in Experimental Physics. |
| S. Rabe-Hesketh. Handbook of Statistical Analysis Using STATA. (201 pp) |
Ruvinsky, Anatoly. Genetics and randomness. |
| Raithel, Michael A. The Complete Guide
to SAS® Indexes. (323 pp) |
D. Rumsey. Intermediate Statistics For Dummies. 2007 (361 pp) |
| S. Ross. Simulation. (2006, 298 pp) |
D. Rumsey. Statistics For Dummies. 2003 (356 pp) |
| THOMAS P. RYAN. Modern Engineering Statistics. |
Running SAS under Windows. |
| D. Rowe. Multivariate Bayesian Statistics Models for Source Separation and Signal. (2003, 323 pp) |
Deborah Rosenbaum. Practical Clinical Trials Series. Clinical Research
Coordinator Handbook.
GCP Tools and Techniques. |
P. Rowe. Essential Statistics for the
Pharmaceutical Sciences. (2007, 287 pp) |
THOMAS P. RYAN. Modern Experimental Design. |
| Carlos Sabillon. World economic historical statistics. (2005) |
Selvin, Steve. Epidemiologic Analysis: A Case-Oriented Approach. |
| Francesco Sardanelli. Biostatistics for Radiologists.
Planning, Performing, and Writing a Radiologic Study. |
NEIL J. SALKIND. Encyclopedia of measurement and statistics. (2007, 1219 pp) |
| SAS 9.2. Base Procedures Guide. |
Myra L. Samuels. Statistics for the life sciences. |
| G. Seber. Nonlinear Regression. (2003, 781 pp) |
Stephen D. Simon. Statistical Evidence in Medical Trials What Do the Data Really Tell Us? |
| R. R. Sokal. NTRODUCTION TO
BIOSTATISTICS. |
SAS/GRAPH 9.2 Reference. |
| O. Schabenberger,
F.J. Pierce. Contemporary statistical models for the plant and soil sciences. |
by Julian L. Simon. Resampling: The New Statistics. |
| Ronald W. Shonkwiler. Mathematical Biology.
An Introduction with
Maple and Matlab. |
Isabel dos Santos Silva. Cancer Epidemiology: Principles and Methods. |
| Shoukri, M.M. Statistical methods for health sciences. (390 pp) |
Howard Schreier. PROC SQL by Example: Using SQL within SAS. |
| J. Ramsay. Applied Functional Data Analysis. (2002, 191 pp) |
Shenyang Guo. Survival Analysis. |
John L. Stanford. Statistical Methods for
Physical Science.
|
T. Soong. Fundamentals of Probability and Statistics for Engineers. |
| Selvin, Steve. Epidemiologic Analysis: A Case-Oriented Approach. |
M. Spiegel. Theory and Problems Statistics. (376 pp) |
| A. Rencher. Methods of Multivariate Analysis. (2001, 732 pp) |
JAMES H. STAPLETON. Linear Statistical Models. |
| R. Reece. Analysis of Genes and Genomes. (2004, 469 pp) |
Maura E. Stokes. Categorical Data Analysis Using The SAS System. |
| Peter A. Rogerson. Statistical Methods for Geography. |
Hans von Storch. Statistical Analysis in
Climate Research. |
| Statistical Methods in Analytical Chemistry. |
Geza Schay. Introduction to Probability
with Statistical Applications. (2007, 313 pp) |
| B. Roux. Geometric Analysis Data. From Correcpondenae Analysis to Structured Data Analysis. (2005, 475 pp) |
P. Song. Correlated Data Analysis: Modeling, Analytics, an Applications. (2007, 346 pp) |
| SAS 9.1.3 Language Reference: Dictionary. (1885 pp) |
SAS/ACCESS® 9.1
Interface to PC Files
Reference. |
| SAS 9.1
National Language Support
(NLS).
User’s Guide. |
P. Sprent. Applied nonparametric statistical methods. |
| SAS/STAT 9.1 User's Guide (2004, 5136 pp) |
R. Sheldon. Introduction to probability models. (704 pp) |
| SAS/ACCESS 9.1 Interface to PC Files Reference. |
S. Stevens. Psychophysics. (332 pp) |
| SAS/IML 9.2 User’s Guide. |
T. Soong. Fundamentals of Probability and Statistics for Engineers. (2004, 391 pp) |
| Statistical Models for the
Fracture of Disordered Media. |
SAS/ETS 9.1 User’s Guide |
| Statistical Methods
in Molecular Evolution. |
Sensitivity Analysis in Practice. A Guide to Assessing. Scientific Models. A. Saltelli, S.Tarantola, F. Campolongo , M. Ratto. (2004, 232 pp) |
| STATISTICAL METHODS IN CANCER RESEARCH. VOLUME 2 - THE DESIGN AND ANALYSIS OF COHORT STUDIES. |
SAS for Mixed Models. (2006, 834 pp) |
| STATISTICAL METHODS IN CANCER RESEARCH. VOLUME 3 - The design and analysis
of long-term animal experiments. |
THOMAS A. SEVERINI. Elements of Distribution Theory. |
| Statistical Methods
in Molecular Evolution. |
J. SERRA. IMAGE ANALYSIS AND MATHEMATICAL MORPHOLOGY. |
| Statistical Methods
in Water Resources. |
|
| Jack Shostak. SAS Programming in the Pharmaceutical Industry. |
S. Slaughter, L. Delwiche. The Little SAS Book for Enterprise Guide. (2006, 388 pp) |
| George A. F. Seber. A MATRIX HANDBOOK
FOR STATISTICIANS. (559 pp) |
Otmar Scherzer. Mathematical Models for Registration and Applications to Medical Imaging. |
| D. Sheskin. Handbook of parametric and nonparametric statistical procedures. (2000, 1002 pp) |
Alex J. Smola and Bernhard Scholkopf. A Tutorial on Support Vector . (2003) |
| J.L. Schafer. Analysis of Incomplete Multivariate Data. (1997. 765 pp) |
D. SALVATORE, D. REAGLE. STATISTICS AND ECONOMETRICS. (2001, 335 pp) |
| M. Spiegel. Theory and Problems Statistics. (549 pp) |
A. Shiryaev, V. Spokoiny. Statistical experiments and decisions : asymptotic theory. |
| David Siegmund. The Statistics of Gene Mapping. |
Sprent, Peter. Applied nonparametric statistical methods. |
| S. Ross. Introduction to probability models. (704 pp) |
David Siegmund,
Benjamin Yakir.
The Statistics of
Gene Mapping. |
| Interdisciplinary Statistics. STATISTICAL ANALYSIS of GENE EXPRESSION MICROARRAY DATA. Edited by Terry Speed. |
Art B. Owen. Empirical Likelihood. (2001, 437 pp) |
| S. Sapatnekar. Timing. (2004, 308 pp) |
Statistics For Dummies. (2003, 356 pp) |
| J.L. Schafer. Analysis of Incomplecte Multivariate Data. (514 pp) |
Statistics and Informatics in
Molecular Cancer Research. |
| Toshiro Tango. Statistical Methods for Disease
Clustering. |
Statistical and Methodological
Aspects of Oral Health Research. |
| P. Rao. SAMPLING METHODOLOGIES WITH PPLICATIONS. (2000, 451 pp) |
Antony Stewart. Basic Statistics
and Epidemiology.
A practical guide. (2002, 151 pp) |
| Michael Small. APPLIED NONLINEAR
TINE SERIES ANALYSIS
APPLICATIONS IN PHYSICS, PHYSIOLOGY AND FINANCE. (2005, 245 pp) |
Y. Takeuchi. Mathematics
for Life Science
and Medicine. (2007, 227 pp) |
| Arthur Griffith. SPSS For Dummies. (342 pp) |
P. Taylor. Statistical Methods. |
| SPSS Base User Guide 12.0 (677 pp.) |
DOV STEKEL. Microarray
Bioinformatics.
|
| SPSS Regression Models 12.0 (61 pp.) |
LARRY J. STEPHENS. Advanced Statistics Demystified. |
| SPSS Advanced Models 12.0 (135 pp.) |
Stephen Senn. Cross-over Trials in Clinical Trials. |
| SPSS Complex Samples 12.0 (130 pp.) |
S-PLUS 2000. Guide to Statistics, Volume 1. |
| SPSS Exact Tests for Windows. (220 pp) |
STATA Programming Manual. Release 7. |
| SPSS 13.0 Base User's Guide. (720 pp) |
Phil Spector. Data Manipulation with R. (2008, 152 pp) |
| SPSS 14.0 Base User's Guide. (764 pp) |
Topics in Modelling of Clustered Data. Edited by Marc Aerts. (2002, 823 pp) |
| SPSS 15.0. Command Syntax Reference. (2006, 2154 pp) |
S-PLUS 2000. Guide to Statistics, Volume 2 . |
| SPSS Statistics 17.0 Brief Guide. |
SPSS 15.0. Base User’s Guide. (2006, 610 pp) |
| SPSS SURVIVAL MANUAL. |
Statistical Analysis with Excel.(256 pp.) |
| Barbara G. Tabachnick. Using Multivariate Statistics. (2007, 980 pp) |
Takezawa, Kunio. Introduction to nonparametric regression. (2006, 557 р) |
| B. Tsirelson, W.Werner. Lectures on Probability Theory and Statistics. |
SPSS Advanced Statistics 17.0 |
| L. Schroeder. Understanding Regression Analysis. An Introductory Guide. |
Y. Takeuchi Y. Iwasa K. Sato (Eds.) Mathematics
for Life Science
and Medicine. |
| K. Tanaka. Fuzzy Control Systems Design and Analysis. A Linear Matrix Inequality Approach. (2001, 305 pp) |
K. Srinagesh. The Principles of Experimental Research. (410 pp) |
| Hisashi Tanizaki. Computational
Methods in Statistics
and Econometrics. |
L. Tucker, R. MacCallum. Exploratory Factor Analysis. |
| Y. Takeuchi Y. Iwasa K. Sato (Eds.) Mathematics
for Ecology and
Environmental
Sciences. |
Wavelets, Approximation and Statistical Applications. |
| D. Sorensen, D. Gianola. Likelihood, Bayesian and MCMC methods in quantitative genetics. (2002, 758 pp) |
A. Tarakanov. Immunocomputing: Principles and Applications. |
SPATIAL CLUSTER MODELLING. Edited by Andrew B. Lawson and David G.T. Denison. (2002, 310 pp) |
Statistical Advances in the Biomedical Sciences Clinical Trials, Epidemiology, Survival Analysis, and Bioinformatics. |
| A. Stein. Spatial Statistics for Remote Sensing. (2002, 708 pp) |
George R. Terrell. Mathematical Statistics:
A Unified Introduction (466 pp) |
| J. Stevens. Applied Multivariate Statistics for The Social Sciences. (2002, 708 pp) |
Statistical Data Mining and Knowledge Discovery. Edited by
Hamparsum Bozdogan. (2004, 595 pp) |
| S. Tavare, O. Zeitouni. Lectures on Probability Theory and Statistics. |
Topics in Modelling of Clustered Data. Edited by M. Aerts, H. Geys, G. Molenberghs, L Ryan. chapter 1, chapter 2, chapter 3, chapter 4, chapter 5, chapter 6. chapter 7, chapter 8, chapter 9, chapter 10, chapter 11, chapter 12, chapter 13, chapter 14, chapter 15, appendix A, Ref |
| Studies in Classification, Data Analysis, and Knowledge Organization. |
Shein-Chung Chow. Sample Size Calculations In Clinical Research. |
| Daniel Straumann. Estimation in Conditionally
Heteroscedastic Time Series Models. |
Shein-Chung Chow. STATISTICS IN
DRUG RESEARCH
METHODOLOGIES AND
RECENT DEVELOPMENTS. |
| Statistical Methods in Control and Signal Processing. Katayama T., Sugimoto S. (eds.) |
Textbook of Clinical Trials. |
| Antony Stewart. Basic Statistics
and Epidemiology.
A practical guide. |
George R. Terrell. Mathematical Statistics.
A Unified Introduction. |
| M. Trosset1. An Introduction to Statistical Inference and Data Analysis. (2001, 224 pp) |
DUNCAN C. THOMAS. Statistical Methods
in Genetic Epidemiology. |
| Topics in Biostatistics. (2007, 528 pp) |
Naitee Ting. Dose Finding in
Drug Development. (2006, 248 pp) |
| John Wang. Encyclopedia of
Data Warehousing
and Mining. (2006, 1279 pp) |
Man Leung Wong, Kwong Sak Leung. Data Mining Using Grammar Based Geneticprogramming and Applications. (2002, 213 pp) |
| John Wang. Encyclopedia of
Data Warehousing
and Mining. (2009, 2226 pp) |
Tutorials in Biostatistics. Volume 1: Statistical Methods in
Clinical Studies. |
| Sylvia Wassertheil-Smoller. Biostatistics and
Epidemiology.
A Primer for Health and
Biomedical Professionals. (2004, 243 pp) |
Tutorials in Biostatistics.
Volume 2: Statistical Modelling
of Complex Medical Data. |
| Robert E. Weiss. Modeling Longitudinal Data. (429 pp) |
UNCERTAINTY MODELING IN DOSE RESPONSE.
Bench Testing Environmental Toxicity. |
| Geert Verbeke. Linear Mixed Models for Longitudinal Data. |
G. Verbeke Linear Mixed Models for Longitudinal Data. |
| Wayne W. Daniel. Biostatistics: A Ffoundation for Analysis in the Health Sciences. |
Erik VanMarcke. Random Fields:
Analysis and Synthesis. (382 pp) |
| Rainer Winkelmann,
Stefan Boes. Analysis of Microdata. (2006, 313 pp) |
W. N. Venables. Modern Applied
Statistics with S. (2002, 495 pp) |
| Larry Wasserman. All of Nonparametric
Statistics. |
Filia Vonta. Statistical Models and Methods
for Biomedical and
Technical Systems. (2008, 555 pp) |
| Sylvia Wassertheil-Smoller. Biostatistics and
Epidemiology.
A Primer for Health and
Biomedical Professionals. |
UNCERTAINTY
MODELING IN DOSE RESPONSE.
Bench Testing Environmental Toxicity. |
| P. Walley. Statistical Reasoning with
Imprecise Probabilities. |
John Walkenbach. Excel 2003 Bible. (2003, 936 pp) |
| Rand R. Wilcox. Fundamentals of Modern
Statistical Methods.
Substantially Improving Power and Accuracy. |
V. Vapnik. Statistical learulng theory. (1998, 740 pp)
V. Vapnik. Statistical learulng theory. (2000, 332 pp) |
| Per Winkel. Statistical Development
of Quality in Medicine. |
Rainer Winkelmann,
Stefan Boes. Analysis
of Microdata. |
| Man Leung Wong. DATA MINING USING GRAMMAR
BASED GENETICPROGRAMMING
AND APPLICATIONS. |
Larry Wasserman. Statistics A Concise Course in Statistical Inference - Springer. |
| The visualization handbook. (2005, 982 pp) |
Andrew R. Webb. Statistical Pattern Recognition. |
| Anne Whitehead. Meta-Analysis
of Controlled Clinical Trials. |
Eric Vittinghoff. Regression Methods
in Biostatistics:
Linear, Logistic, Survival,
and Repeated Measures Models. (2005, 340 pp) |
| L. Waller. Applied Spatial Statistics for Public Health Data. (2004, 518 pp) |
O. Wolkenhauer. Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis. (2001, 263 pp) |
| Robert E. Weiss. Modeling Longitudinal Data. |
Bruce W. Weide. Statistical Methods in Algorithm.
Design and Analysis. |
| C. Wolfe. Getting Started with Mathematica. (551 pp) |
S. Wellek. Testing statistical hypotheses of equivalence. |
| S. Wolfram. Mathematica book. (2003, 1301 pp) |
Rand R. Wilcox. Fundamentals of Modern
Statistical Methods. |
A. Webb. Statistical Pattern Recognition. |
Jackie Willis. Data Analysis and Presentation Skills. An Introduction for the Life and Medical Sciences. |
| D.S. Wilks. STATISTICAL METHODS
IN THE ATMOSPHERIC SCIENCES. |
G. Wornell. Signal Processing with Fractals: A Wavelet-Based Approach. |
| Hadley Wickham. GGPLOT2:
Elegant Graphics for Data Analysis. |
J.Wolberg. Data Analysis
Using the Method
of Least Squares.
Extracting the Most Information from Experiments. |
| D. Young. COMPUTATIONAL CHEMISTRY. A Practical Guide for Applying. Techniques to Real-World Problems. (2001, 398 pp) |
Hulin Wu. Nonparametric Regression Methods for Longitudinal Data Analysis. |
Xin Yan. Linear
Regression
Analysis
Theory and Computing.
|
Z. Zeng. Scientific Computing with Maple Programming. |
| Kai Yang. Multivariate Statistical Methods in Quality Management. |
D. ZWILLINGER, S.KOKOSKA. Standard probability and Statistics Tables and Formilae. |
| Zhang David. Biometric image discrimination technologies. (2006, 358 pp) |
Zaven A, Karian and Edward J, Dudewicz. Fitting statistical distributions: the Generalized Lambda Distribution and Generalized Bootstrap methods. |
| D. Zelterman. Discrete
Distributions.
Applications in the Health Sciences. |
Zhang David. Biometric
Authentication. (2004, 821 pp) |
| D. Zelterman. Models for Discrete Data |
G. Young. Essentials of Statistical Inference. (2005, 225 pp) |
| M. Zeiger. Essentials of Writing Biomedical Research Papers. |
Yuen D.A., Boryczko K. Cluster Analysis, Data-Mining, Multi-dimensional Visualization of Earthquakes over Space, Time and Feature Space. |
| Dale L. Zimmerman. Antedependence models for longitudinal data. |
Xuhua Xia. Data Analysis in Molecular Biology and Evolution. |
| D. ZWILLINGER. Standard Mathematical Tables and Formilae. |
David Zhang. Biometric Authentication. |
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