Biostatistics.
Overview
Works: | 48 works in 45 publications in 45 languages |
---|
Titles
Pediatric biomedical informatics[electronic resource] :computer applications in pediatric research /
by:
(Language materials, printed)
Statistical analysis of designed experiments[electronic resource] /
by:
(Language materials, printed)
Statistical modelling in biostatistics and bioinformatics[electronic resource] :selected papers /
by:
(Language materials, printed)
Machine learning in medicine - Cookbook two[electronic resource] /
by:
(Language materials, printed)
Advances in complex data modeling and computational methods in statistics[electronic resource] /
by:
(Language materials, printed)
Excel 2013 for biological and life sciences statistics[electronic resource] :a guide to solving practical problems /
by:
(Language materials, printed)
Data analysis, machine learning and knowledge discovery[electronic resource] /
by:
(Language materials, printed)
Simultaneous statistical inference[electronic resource] :with applications in the life sciences /
by:
(Language materials, printed)
Nonparametric Bayesian inference in biostatistics[electronic resource] /
by:
(Language materials, printed)
Sample size determination in clinical trials with multiple endpoints[electronic resource] /
by:
(Language materials, printed)
Modeling binary correlated responses using SAS, SPSS and R[electronic resource] /
by:
(Language materials, printed)
Rankings and preferences[electronic resource] :new results in weighted correlation and weighted principal component analysis with applications /
by:
(Language materials, printed)
Umbrella Reviews[electronic resource] :evidence synthesis with overviews of reviews and meta-epidemiologic studies /
by:
(Language materials, printed)
Field guidelines for genetic experimental designs in high-throughput sequencing[electronic resource] /
by:
(Electronic resources)
An introduction to statistics with Python[electronic resource] :with applications in the life sciences /
by:
(Electronic resources)
Introduction to nonparametric statistics for the biological sciences using R[electronic resource] /
by:
(Electronic resources)
Group sequential and confirmatory adaptive designs in clinical trials[electronic resource] /
by:
(Electronic resources)
A course in mathematical statistics and large sample theory[electronic resource] /
by:
(Electronic resources)
Excel 2016 for biological and life sciences statistics[electronic resource] :a guide to solving practical problems /
by:
(Electronic resources)
Adaptive regression for modeling nonlinear relationships[electronic resource] /
by:
(Electronic resources)
Robust rank-based and nonparametric methods[electronic resource] :Michigan, USA, April 2015 : selected, revised, and extended contributions /
by:
(Electronic resources)
Nonparametric statistics[electronic resource] :2nd ISNPS, Cadiz, June 2014 /
by:
(Electronic resources)
Pediatric biomedical informatics[electronic resource] :computer applications in pediatric research /
by:
(Electronic resources)
Statistical causal inferences and their applications in public health research[electronic resource] /
by:
(Electronic resources)
Health and lifestyle[electronic resource] :separating the truth from the myth with statistics /
by:
(Electronic resources)
New developments in statistical modeling, inference and application[electronic resource] :selected papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR /
by:
(Electronic resources)
Stochasticity in processes[electronic resource] :fundamentals and applications to chemistry and biology /
by:
(Electronic resources)
Comparative Causal Effect Estimation and Robust Variance for Longitudinal Data Structures with Applications to Observational HIV Treatment.
by:
(Electronic resources)
The Good, the Bad and the Fitting: A Bayesian Hierarchical Model for Patient Preferences Elicited through Discrete Choice Experiments.
by:
(Electronic resources)
Statistical applications from clinical trials and personalized medicine to finance and business analytics[electronic resource] :selected papers from the 2015 ICSA/Graybill Applied Statistics Symposium, Colorado State University, Fort Collins /
by:
(Language materials, printed)
Recent advances in robust statistics[electronic resource] :theory and applications /
by:
(Language materials, printed)
New theory of discriminant analysis after R. Fisher[electronic resource] :advanced research by the feature selection method for microarray data /
by:
(Language materials, printed)
Applied statistics for agriculture, veterinary, fishery, dairy and allied fields[electronic resource] /
by:
(Language materials, printed)
Subjects