図書

Statistics for biology and health

図書を表すアイコン

Statistics for biology and health

資料種別
図書
著者
-
出版者
Springer
出版年
-
資料形態
ページ数・大きさ等
-
NDC
-
すべて見る

資料に関する注記

一般注記:

Series editor: M. Gail, K. Krickeberg, J. Samet, A. Tsiatis, W. Wong

関連資料・改題前後資料

Regression methods in biostatistics : linear, logistic, survival, and repeated measures models外部サイトLogistic regression : a self-learning text外部サイトModern infectious disease epidemiology : concepts, methods, mathematical models, and public health外部サイトStatistical monitoring of clinical trials : a unified approach外部サイトNonclinical statistics for pharmaceutical and biotechnology industries外部サイトAnalysing seasonal health data外部サイトSurvival analysis : techniques for censored and truncated data外部サイトRecursive partitioning in the health sciences外部サイトModern infectious disease epidemiology : concepts, methods, mathematical models, and public health外部サイトMultiple analyses in clinical trials : fundamentals for investigators外部サイトAnalysing ecological data外部サイトEpidemiologic studies in cancer prevention and screening外部サイトStatistical inference on residual life外部サイトSurvival analysis : techniques for censored and truncated data外部サイトApplied mathematical demography外部サイトMedical applications of finite mixture models外部サイトModern issues and methods in biostatistics外部サイトStatistical methods in bioinformatics : an introduction外部サイトMathematical and statistical methods for genetic analysis外部サイトProportional hazards regression外部サイトThe statistical analysis of interval-censored failure time data外部サイトSurvival analysis : a self-learning text外部サイトModeling infectious disease parameters based on serological and social contact data : a modern statistical perspective外部サイトThe statistical analysis of recurrent events外部サイトStatistical methods for dynamic treatment regimes : reinforcement learning, causal inference, and personalized medicine外部サイトAnalysis of multivariate survival data外部サイトStatistical genetics of quantitative traits : linkage, maps, and QTL外部サイトRegression methods in biostatistics : linear, logistic, survival, and repeated measures models外部サイトMathematical and statistical methods for genetic analysis外部サイトAdaptive regression for modeling nonlinear relationships外部サイトAnalysis of genetic association studies外部サイトSurvival analysis : a self-learning text外部サイトThe evaluation of surrogate endpoints外部サイトDynamic regression models for survival data外部サイトLogistic regression : a self-learning text外部サイトSurvival analysis : a self-learning text外部サイトStatistical methods in bioinformatics : an introduction外部サイトDesign and analysis of DNA microarray investigations外部サイトStatistical monitoring of clinical trials : a unified approach外部サイトThe analysis of gene expression data : methods and software外部サイトStatistical applications for chemistry, manufacturing and controls (CMC) in the pharmaceutical industry外部サイトClinical prediction models : a practical approach to development, validation, and updating外部サイトApplied multivariate statistics with R外部サイトDesign and analysis of vaccine studies外部サイトBioinformatics and computational biology solutions using R and bioconductor外部サイトLikelihood, Bayesian, and MCMC methods in quantitative genetics外部サイトModeling survival data : extending the cox model外部サイトSurvival and event history analysis : a process point of view外部サイトPractical considerations for adaptive trial design and implementation外部サイトStatistical methods in molecular evolution外部サイトThe fundamentals of modern statistical genetics外部サイトModeling survival data : extending the cox model : with 80 illustrations外部サイトStatistical modelling of survival data with random effects : h-likelihood approach外部サイトA guide to QTL mapping with R/qtl外部サイトApplying quantitative bias analysis to epidemiologic data外部サイトAnalyzing medical data using S-PLUS外部サイトCancer mortality and morbidity patterns in the U.S. population : an interdisciplinary approach外部サイトThe statistical analysis of functional MRI data外部サイトBayesian methods in structural bioinformatics外部サイトFundamentals of clinical research : bridging medicine, statistics, and operations外部サイトEstimating animal abundance : closed populations外部サイトThe statistics of gene mapping外部サイトThe frailty model外部サイトMixed effects models and extensions in ecology with R外部サイトThe statistical analysis of recurrent events外部サイトStatistical methods for disease clustering外部サイトMathematical and statistical methods for genetic analysis外部サイトMedical applications of finite mixture models外部サイトEpidemiology : key to prevention外部サイトApplying quantitative bias analysis to epidemiologic data外部サイトStatistical analysis of panel count data外部サイトAnalysis of multivariate survival data外部サイトClinical prediction models : a practical approach to development, validation, and updating外部サイトRegression with linear predictors外部サイトForecasting product liability claims : epidemiology and modeling in the Manville asbestos case外部サイトDesign, analysis, and interpretation of genome-wide association scans外部サイトStatistical methods for dynamic treatment regimes : reinforcement learning, causal inference, and personalized medicine外部サイトStatistical design and analysis of biological experiments外部サイトClinical prediction models : a practical approach to development, validation, and updating外部サイトEpidemiology : key to public health外部サイトLikelihood and Bayesian inference : with applications in biology and medicine外部サイトThe statistical analysis of functional MRI data外部サイトMeta-analysis : methods for health and experimental studies外部サイト

書店で探す

目次

  • Regression methods in biostatistics : linear, logistic, survival, and repeated measures models

  • Logistic regression : a self-learning text

  • Modern infectious disease epidemiology : concepts, methods, mathematical models, and public health

  • Statistical monitoring of clinical trials : a unified approach

  • Nonclinical statistics for pharmaceutical and biotechnology industries

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資料種別
図書
出版事項
出版地(国名コード)
us
本文の言語コード
en
対象利用者
一般
一般注記
Series editor: M. Gail, K. Krickeberg, J. Samet, A. Tsiatis, W. Wong
関連情報
Regression methods in biostatistics : linear, logistic, survival, and repeated measures models
Logistic regression : a self-learning text
Modern infectious disease epidemiology : concepts, methods, mathematical models, and public health
Statistical monitoring of clinical trials : a unified approach
Nonclinical statistics for pharmaceutical and biotechnology industries
Analysing seasonal health data
Survival analysis : techniques for censored and truncated data
Recursive partitioning in the health sciences
Modern infectious disease epidemiology : concepts, methods, mathematical models, and public health
Multiple analyses in clinical trials : fundamentals for investigators
Analysing ecological data
Epidemiologic studies in cancer prevention and screening
Statistical inference on residual life
Survival analysis : techniques for censored and truncated data
Applied mathematical demography
Medical applications of finite mixture models
Modern issues and methods in biostatistics
Statistical methods in bioinformatics : an introduction
Mathematical and statistical methods for genetic analysis
Proportional hazards regression
The statistical analysis of interval-censored failure time data
Survival analysis : a self-learning text
Modeling infectious disease parameters based on serological and social contact data : a modern statistical perspective
The statistical analysis of recurrent events
Statistical methods for dynamic treatment regimes : reinforcement learning, causal inference, and personalized medicine
Analysis of multivariate survival data
Statistical genetics of quantitative traits : linkage, maps, and QTL
Regression methods in biostatistics : linear, logistic, survival, and repeated measures models
Mathematical and statistical methods for genetic analysis
Adaptive regression for modeling nonlinear relationships
Analysis of genetic association studies
Survival analysis : a self-learning text
The evaluation of surrogate endpoints
Dynamic regression models for survival data
Logistic regression : a self-learning text
Survival analysis : a self-learning text
Statistical methods in bioinformatics : an introduction
Design and analysis of DNA microarray investigations
Statistical monitoring of clinical trials : a unified approach
The analysis of gene expression data : methods and software
Statistical applications for chemistry, manufacturing and controls (CMC) in the pharmaceutical industry
Clinical prediction models : a practical approach to development, validation, and updating
Applied multivariate statistics with R
Design and analysis of vaccine studies
Bioinformatics and computational biology solutions using R and bioconductor
Likelihood, Bayesian, and MCMC methods in quantitative genetics
Modeling survival data : extending the cox model
Survival and event history analysis : a process point of view
Practical considerations for adaptive trial design and implementation
Statistical methods in molecular evolution
The fundamentals of modern statistical genetics
Modeling survival data : extending the cox model : with 80 illustrations
Statistical modelling of survival data with random effects : h-likelihood approach
A guide to QTL mapping with R/qtl
Applying quantitative bias analysis to epidemiologic data
Analyzing medical data using S-PLUS
Cancer mortality and morbidity patterns in the U.S. population : an interdisciplinary approach
The statistical analysis of functional MRI data
Bayesian methods in structural bioinformatics
Fundamentals of clinical research : bridging medicine, statistics, and operations
Estimating animal abundance : closed populations
The statistics of gene mapping
The frailty model
Mixed effects models and extensions in ecology with R
The statistical analysis of recurrent events
Statistical methods for disease clustering
Mathematical and statistical methods for genetic analysis
Medical applications of finite mixture models
Epidemiology : key to prevention
Applying quantitative bias analysis to epidemiologic data
Statistical analysis of panel count data
Analysis of multivariate survival data
Clinical prediction models : a practical approach to development, validation, and updating
Regression with linear predictors
Forecasting product liability claims : epidemiology and modeling in the Manville asbestos case
Design, analysis, and interpretation of genome-wide association scans
Statistical methods for dynamic treatment regimes : reinforcement learning, causal inference, and personalized medicine
Statistical design and analysis of biological experiments
Clinical prediction models : a practical approach to development, validation, and updating
Epidemiology : key to public health
Likelihood and Bayesian inference : with applications in biology and medicine
The statistical analysis of functional MRI data
Meta-analysis : methods for health and experimental studies
連携機関・データベース
国立情報学研究所 : CiNii Research