Biostatistics.
Overview
| Works: | 248 works in 229 publications in 229 languages | |
|---|---|---|
Titles
Applied statistical genetics with Rfor population-based association studies /
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Modern infectious disease epidemiologyconcepts, methods, mathematical models and public health /
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Modeling dose-response microarray data in early drug development experiments using Rorder-restricted analysis of mircoarray data /
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Pediatric biomedical informaticscomputer applications in pediatric research /
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Simultaneous statistical inferencewith applications in the life sciences /
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Statistical modelling in biostatistics and bioinformaticsselected papers /
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Advances in complex data modeling and computational methods in statistics
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Excel 2013 for biological and life sciences statisticsa guide to solving practical problems /
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Rankings and preferencesnew results in weighted correlation and weighted principal component analysis with applications /
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Umbrella Reviewsevidence synthesis with overviews of reviews and meta-epidemiologic studies /
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Field guidelines for genetic experimental designs in high-throughput sequencing
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An introduction to statistics with Pythonwith applications in the life sciences /
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Introduction to nonparametric statistics for the biological sciences using R
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Excel 2016 for biological and life sciences statisticsa guide to solving practical problems /
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Robust rank-based and nonparametric methodsMichigan, USA, April 2015 : selected, revised, and extended contributions /
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Pediatric biomedical informaticscomputer applications in pediatric research /
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Statistical causal inferences and their applications in public health research
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New developments in statistical modeling, inference and applicationselected papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR /
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Stochasticity in processesfundamentals and applications to chemistry and biology /
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Statistical applications from clinical trials and personalized medicine to finance and business analyticsselected papers from the 2015 ICSA/Graybill Applied Statistics Symposium, Colorado State University, Fort Collins /
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New theory of discriminant analysis after R. Fisheradvanced research by the feature selection method for microarray data /
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Applied statistics for agriculture, veterinary, fishery, dairy and allied fields
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Statistical analysis of proteomics, metabolomics, and lipidomics data using mass spectrometry
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Next generation sequencing based clinical molecular diagnosis of human genetic disorders
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Extended abstracts Fall 2015Biomedical Big Data; Statistics for Low Dose Radiation Research /
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Statistical analysis with measurement error or misclassificationstrategy, method and application /
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Advanced data analysis in neuroscienceintegrating statistical and computational models /
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Growth curve models and applicationsIndian Statistical Institute, Giridih, India, March 28-29, 2016 /
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Modern dose-finding designs for cancer phase I trialsdrug combinations and molecularly targeted agents /
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Analysis of survival data with dependent censoringcopula-based approaches /
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Targeted learning in data sciencecausal inference for complex longitudinal studies /
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Methods and biostatistics in oncologyunderstanding clinical research as an applied tool /
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Bayesian inference and maximum entropy methods in science and engineeringMaxEnt 37, Jarinu, Brazil, July 09-14, 2017 /
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Trends in biomathematicsmodeling, optimization and computational problems : selected works from the BIOMAT Consortium Lectures, Moscow 2017 /
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Biopharmaceutical applied statistics symposium.Volume 1,Design of clinical trials
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Biopharmaceutical applied statistics symposium.Volume 2,Biostatistical analysis of clinical trials
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Biopharmaceutical applied statistics symposium.Volume 3,Pharmaceutical applications
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Studies in neural data scienceStartUp Research 2017, Siena, Italy, June 25-27 /
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Dose-finding designs for early-phase cancer clinical trialsa brief guidebook to theory and practice /
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High-dimensional microarray data analysiscancer gene diagnosis and malignancy indexes by microarray /
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Pharmaceutical statisticsMBSW 39, Muncie, Indiana, USA, May 16-18, 2016 /
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Statistical methods for global health and epidemiologyprinciples, methods and applications /
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Identifiability and regression analysis of biological systems modelsstatistical and mathematical foundations and R scripts /
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Statistical modeling for biological systemsin memory of Andrei Yakovlev /
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Excel 2019 for biological and life sciences statisticsa guide to solving practical problems /
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Statistical modeling in biomedical researchcontemporary topics and voices in the field /
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Likelihood and Bayesian inferencewith applications in biology and medicine /
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Computational and methodological statistics and biostatisticscontemporary essays in advancement /
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Spatial relationships between two georeferenced variableswith applications in R /
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Marginal models in analysis of correlated binary data with time dependent covariates
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The Handbook of cuffless blood pressure monitoringa practical guide for clinicians, researchers, and engineers /
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Efficacy analysis in clinical trials an updateefficacy analysis in an era of machine learning /
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Understanding statistics and experimental designhow to not lie with statistics /
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Statistical methods for imbalanced data in ecological and biological studies
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Methods and applications of sample size calculation and recalculation in clinical trials
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Particle emission concept and probabilistic consideration of the development of infections in systemsdynamics from logarithm and exponent in the infection process, percolation effects /
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Advances in compositional data analysisfestschrift in honour of Vera Pawlowsky-Glahn /
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Advances in statisticstheory and applications : honoring the contributions of Barry C. Arnold in statistical science /
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Quantitative psychologythe 85th Annual Meeting of the Psychometric Society, virtual /
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Services for aging persons in Chinaspatial variations in supply and demand /
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SIR -- model supported by a new densityaction document for an adapted COVID-management /
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Eco-statsdata analysis in ecology : from t-tests to multivariate abundances /
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Random walk and diffusion modelsan introduction for life and behavioral scientists /
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The significance test controversy revisitedthe fiducial Bayesian alternative /
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Bioinformatic and statistical analysis of microbiome datafrom raw sequences to advanced modeling with QIIME 2 and R /
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Pocket evidence based medicinea survival guide for clinicians and students /
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Generalized linear mixed models with applications in agriculture and biology
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Statistical modelling and risk analysisselected contributions from ICRA9, Perugia, Italy, May 25-27, 2022 /
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Fundamentals of supervised machine learningwith applications in Python, R, and Stata /
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Twenty interviews with Psychometric society presidentswhat's on the mind of the psychometrician? /
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Modeling correlated outcomes using extensions of generalized estimating equations and linear mixed modeling
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Trends in biomathematicsexploring epidemics, eco-epidemiological systems, and optimal control strategies : selected works from the BIOMAT Consortium Lectures, Rio de Janeiro, Brazil, 2023 /
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Introduction to data science in biostatisticsusing R, the tidyverse ecosystem, and APIs /
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A medical educator's guide to thinking critically about randomised controlled trialsdeconstructing the "gold standard" /
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The 2x2 matrixcontingency, confusion and the metrics of binary classification /
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A first course in fuzzy logic, fuzzy dynamical systems, and biomathematicstheory and applications /
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The first discriminant theory of linearly separable datafrom exams and medical diagnoses with misclassifications to 169 microarrays for cancer gene diagnosis /
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Biostatistics and epidemiologya primer for health and biomedical professionals /
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Functional data analysis in biomechanicsa concise review of core techniques, applications and emerging areas /
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Identifiability and regression analysis of biological systems modelsstatistical and mathematical foundations and R scripts /
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Innovative designs and analyses for small population clinical trialsdevelopment strategies and operational engagement for pediatric and rare diseases /
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Time series and wavelet analysisFestschrift in honor of Pedro A. Morettin /
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Biostatistics in biopharmaceutical research and development.Volume 2,Clinical trial analysis
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Biostatistics in biopharmaceutical research and development.Volume 1,Clinical trial design
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Biostatistics modeling and public health applicationsstudy design and analysis methodology in health sciences.Volume 1 /
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Efficient Bayesian Regression Methods for Dependent, Sparse Functional Data /
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Practical statistical learning and data science methodscase studies from LISA 2020 Global Network, USA /
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New frontiers in statistics and data scienceSPE2023, Guimarães, Portugal, October 11-14 /
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Statistical methods for environmental mixturesa primer in environmental epidemiology /
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