#
Statistics for biology and health
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The series ** Statistics for biology and health** represents a set of related resources, especially of a specified kind, found in **University of Missouri Libraries**.

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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 Missouri Libraries**.- Label
- Statistics for biology and health

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- Statistics for biology and health, 63
- Statistics for biology and health, 79
- Analysing seasonal health data
- Analysis of genetic association studies
- Analysis of multivariate survival data
- Applied mathematical demography
- Applying quantitative bias analysis to epidemiologic data
- Applying quantitative bias analysis to epidemiologic data
- Bayesian methods in structural bioinformatics
- Bayesian methods in structural bioinformatics
- Bioinformatics and computational biology solutions using R and Bioconductor
- 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 and analysis of vaccine studies
- Design, analysis, and interpretation of genome-wide association scans
- Design, analysis, and interpretation of genome-wide association scans
- Dose finding in drug development
- Dose finding in drug development
- Dynamic regression models for survival data
- Dynamic regression models for survival data
- Epidemiology : key to prevention
- Epidemiology : key to prevention
- Estimating animal abundance : closed populations
- Likelihood, Bayesian and MCMC methods in quantitative genetics
- Logistic regression : a self-learning text
- Logistic regression : a self-learning text
- Mathematical and statistical methods for genetic analysis
- Mathematical and statistical methods for genetic analysis
- Medical applications of finite mixture models
- Medical applications of finite mixture models
- Mixed effects models and extensions in ecology with R
- Modeling survival data : extending the Cox model
- Modern infectious disease epidemiology : concepts, methods, mathematical models, and public health
- 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
- Practical considerations for adaptive trial design and implementation
- Proportional hazards regression
- 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 methods in biostatistics : linear, logistic, survival, and repeated measures models
- Regression with linear predictors
- Regression with linear predictors
- Statis[t]ical methods in bioinformatics : an introduction
- Statistical analysis of panel count data
- Statistical analysis of panel count data
- Statistical genetics of quantitative traits : linkage, maps, and QTL
- Statistical inference on residual life
- Statistical methods for disease clustering
- Statistical methods for disease clustering
- Statistical methods for dynamic treatment regimes : reinforcement learning, causal inference, and personalized medicine
- Statistical methods in bioinformatics : an introduction
- Statistical methods in bioinformatics : an introduction
- Statistical methods in molecular evolution
- Statistical methods in molecular evolution
- Statistical monitoring of clinical trials : a unified approach
- Statistical monitoring of clinical trials : a unified approach
- Survival analysis : a self-learning text
- Survival analysis : a self-learning text
- Survival analysis : techniques for censored and truncated data
- Survival and event history analysis : a process point of view
- The Frailty Model
- 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 interval-censored failure time data
- The statistical analysis of recurrent events
- 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.library.missouri.edu/resource/D4WJAoDDC2s/" typeof="Series http://bibfra.me/vocab/lite/Series"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/D4WJAoDDC2s/">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.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>`