#
Statistics for Biology and Health,
Resource Information
The series ** Statistics for Biology and Health,** represents a set of related resources, especially of a specified kind, found in **University of Oklahoma Libraries**.

The Resource
Statistics for Biology and Health,
Resource Information

The series

**Statistics for Biology and Health,**represents a set of related resources, especially of a specified kind, found in**University of Oklahoma Libraries**.- Label
- Statistics for Biology and Health,

- Issn
- 1431-8776

## Context

Context of Statistics for Biology and Health,#### Members

- Statistics for Biology and Health,, 63
- Statistics for Biology and Health,, 76
- Statistics for Biology and Health,, 79
- Statistics for Biology and Health,, 80
- A Guide to QTL Mapping with R/qtl
- Analysis of Genetic Association Studies
- Analysis of Multivariate Survival Data
- Applied Mathematical Demography
- Applied Multivariate Statistics with R
- Applying Quantitative Bias Analysis to Epidemiologic Data
- Bayesian Methods in Structural Bioinformatics
- Bioinformatics and Computational Biology Solutions Using R and Bioconductor
- Cancer Mortality and Morbidity Patterns in the U.S. Population : An Interdisciplinary Approach
- Clinical Prediction Models : A Practical Approach to Development, Validation, and Updating
- Design and Analysis of DNA Microarray Investigations
- Design and Analysis of Vaccine Studies
- Design, Analysis, and Interpretation of Genome-Wide Association Scans
- Dose Finding in Drug Development
- Dynamic Regression Models for Survival Data
- Epidemiology : Key to Prevention
- Fundamentals of Clinical Research : Bridging Medicine, Statistics and Operations
- Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics
- Logistic Regression : A Self-Learning Text
- Mathematical and Statistical Methods for Genetic Analysis
- Medical Applications of Finite Mixture Models
- Mixed Effects Models and Extensions in Ecology with R
- Modern Infectious Disease Epidemiology : Concepts, Methods, Mathematical Models, and Public Health
- Modern Issues and Methods in Biostatistics
- Multiple Analyses in Clinical Trials : Fundamentals for Investigators
- Proportional Hazards Regression
- Regression Methods in Biostatistics : Linear, Logistic, Survival, and Repeated Measures Models
- Regression Methods in Biostatistics : Linear, Logistic, Survival, and Repeated Measures Models
- Regression with Linear Predictors
- Statistical Genetics of Quantitative Traits : Linkage, Maps and QTL
- Statistical Methods for Disease Clustering
- Statistical Methods in Bioinformatics : An Introduction
- Statistical Methods in Molecular Evolution
- Statistical Monitoring of Clinical Trials : A Unified Approach
- Survival Analysis : A Self-Learning Text
- Survival Analysis : A Self-Learning Text, Third Edition
- Survival Analysis : Techniques for Censored and Truncated Data
- Survival and Event History Analysis : A Process Point of View
- The Analysis of Gene Expression Data : Methods and Software
- The Evaluation of Surrogate Endpoints
- The Frailty Model
- The Fundamentals of Modern Statistical Genetics
- The Statistical Analysis of Functional MRI Data
- The Statistical Analysis of Interval-censored Failure Time Data
- The Statistical Analysis of Recurrent Events
- The Statistics of Gene Mapping

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`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.libraries.ou.edu/resource/bb0d6awBo8s/" typeof="Series http://bibfra.me/vocab/lite/Series"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.libraries.ou.edu/resource/bb0d6awBo8s/">Statistics for Biology and Health,</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.libraries.ou.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.libraries.ou.edu/">University of Oklahoma Libraries</a></span></span></span></span></div>`