S. K. Mitra
Siddhartha Mitra
Mitra Tavakoli
Shree Mitra
Siddhartha Mitra
Dana L. Mitra
Dana L. Mitra
Peary Chand Mitra
Siddhartha Mitra
Monojit Mitra
Saumava Mitra
International news has long been studied and understood as produced by outsiders - foreign correspondents working in exotic, international locales.
S. M. Mitra
Subrata K. Mitra
Anirban Mitra
Subrata Kumar Mitra
Debashis Mitra
Jay Mitra
Mitra Rastegar
Jay Mitra
Mitra Phukan
Amitava Mitra
The nation is revolutionizing quality in all sectors and phases.
Mitra Kanaani
The routledge companion for architecture design and practice provides an overview of established and emerging trends in architecture practice.
Anirban Mitra
Sisir Mitra
Anamika Mitra
Rumna Mitra Lala
Anirban Mitra
Mitra Rastegar
Mitra Baratchi
Subrata K. Mitra
Dana Mitra
Subrata K. Mitra
Mitra Rastegar
Mitra Reyhani Ghadim
Mitra Reyhani Ghadim
Pritha Mitra
Swarna Mitra
Sohini Mitra
Arup Mitra
Urbanisation in the literature of development economics is expected to bring in a spectrum of social and economic transformations.
Sophie Mitra
This open access book introduces the human development model to define disability and map its links with health and wellbeing, based on sen's capability approach.
Mitra Avari
Swarna Mitra
Vigyan Mitra
Sophie Mitra
This open access book introduces the human development model to define disability and map its links with health and wellbeing, based on sen's capability approach.
Abhijit Mitra
Arup Mitra
Urbanisation in the literature of development economics is expected to bring in a spectrum of social and economic transformations.
Madhumi Mitra
This book presents a systems approach to bioenergy and provides a means to capture the complexity of bioenergy issues, including both direct and indirect impacts across the energy economy.
Ashok Mitra
A selection from ashok mitra's famed 'calcutta diary' in the economic and political weekly, these short essays chronicle the troubled times on the subcontinent from 1999 to 2003.
Rajat Mitra
Pritha Mitra
Arindam Mitra
Biofilms are classic examples of microbial communities that persist collectively in a self-synthesized matrix and challenge the concept of prokaryotes as isolated organisms.
Phd Ea Mitra
D. Mitra Barua
Subrata Mitra
Durba Mitra
A. Gouveia Oliveira
Biostatistics decoded covered a large number of statistical methods that are mainly applied to clinical and epidemiological research, as well as a comprehensive discussion of study designs for observational research and clinical trials, two importa.
Peter Mesenbrink
This book provides guidance to the statisticians in industry on the non-technical "soft" skills that one needs to have in order to be successful as a statistician from the first day on the job until the last day.
Mike Hernandez
Marcello Pagano
This edition is a reprint of the second edition published in 2000 by brooks/cole and then cengage learning.
Marcello Pagano
This edition is a reprint of the second edition published in 2000 by brooks/cole and then cengage learning.
Fathi E. Abd El-Samie
Although there are many books on biometrics, most are limited to a single branch.
John Eddison
Until recently, acquiring a background in the basic methodological principles that apply to most types of investigations meant struggling to obtain results through laborious calculations.
Christophe Lalanne
Sinjini Mitra
Christophe Lalanne
This volume of the biostatistics and health sciences set focuses on statistics applied to clinical research.
Somnath Dey
This work is on biometric data indexing for large-scale identification systems with a focus on different biometrics data indexing methods.
Jeffrey A. Witmer
A. Gouveia Oliveira
Study design and statistical methodology are two important concerns for the clinical researcher.
John Pezzullo
Score your highest in biostatistics biostatistics is a required course for students of medicine, epidemiology, forestry, agriculture, bioinformatics, and public health.
Ratan Dasgupta
Jialiang Li
Joseph L. Fleiss
* includes a new chapter on logistic regression.
Brandon Eggleston
This book provides a theoretical approach to the field of biostatistics.
Michael R. Chernick
A fundamental and straightforward guide to using and understanding statistical concepts in medical researchdesigned specifically for healthcare practitioners who need to understand basic biostatistics but do not have much time to spare, "the essentials of.
Patrick Royston
Through real-world case studies, this book shows how to use stata to estimate a class of flexible parametric survival models.
David G. Kleinbaum
A concise summary of the statistical methods used in the analysis of survival data with censoring.
Alain Pavé
David D. Hanagal
Frailty models have been introduced into the statistical literature to account for the existence of unmeasured attributes, such as genotypes that introduce heterogeneity into a study population.
Mario Alberto Cleves
An introduction to survival analysis using stata, third edition provides the foundation to understand various approaches for analyzing time-to-event data.
Ton J. M. Cleophas
This small book addresses different kinds of datafiles, as commonly encountered in clinical research, and their data-analysis on spss software.
Mario Alberto Cleves
Written by the developers of stata's widely used survival analysis suite, this book provides the foundation to understand various approaches for analyzing time-to-event data.
Jerrold H. Zar
John R. Vacca
biometric technologies and verification systems is organized into nine parts composed of 30 chapters, including an extensive glossary of biometric terms and acronyms.
Nancy L. Geller
From aspects of early trials to complex modeling problems, advances in clinical trial biostatistics summarizes current methodologies used in the design and analysis of clinical trials.
Eileen Magnello
There has been a growing recognition of the importance of mathematical and statistical methods in the history of medicine, particularly in those areas where statistical methods are a sine qua non such as epidemiology and randomised clinical trials..
Michel Thurieux
Jerrold H. Zar
A textbook for an introductory statistics course with applications and examples drawn from the biological sciences.