Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS

von

Yu, QingzhaoLi, Bin

BuchKartoniert, Paperback

Verkaufsrang130inMathematik

CHF79.90

BuchabCHF79.90

E-BookabCHF78.70

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Beschreibung

This book introduces general definitions of third-variable effects that are adaptable to all different types of response (categorical or continuous), exposure, or third-variables. Readers of all disciplines familiar with introductory statistics will find this a valuable resource for analysis.

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Details

ISBN/GTIN978-1-032-22008-6

ProduktartBuch

EinbandKartoniert, Paperback

VerlagTaylor and FrancisChapman and Hall/CRC

Erscheinungsdatum27.05.2024

Auflage1. A.

ReiheChapman & Hall/CRC Biostatistics Series

Seiten294 Seiten

SpracheEnglisch

MasseBreite 156 mm, Höhe 234 mm

Gewicht453 g

IllustrationenFarb., s/w. Abb.

Artikel-Nr.51378872

KatalogBuchzentrum

Datenquelle-Nr.46327623

WarengruppeMathematik

Weitere Details

Reihe

Meta-analysis for Public Health and Medical Research

Flexible Bayesian Models for Medical Diagnostic Data

Bayesian Adaptive Designs for Innovative Clinical Trials and Precision Medicine

Control Theoretic Methods in Dynamic Clinical Trials

Multiple Testing Adjustment in Clinical Trials and Genetic Epidemiology Studies with R

Prediction of Complex Traits Using Genomic Data

Precision Medicine and Companion Diagnostic Devices

Patient-Reported Outcomes Data Analysis in Clinical Research

Design and Analysis of Animal Studies in Pharmaceutical Development

Advances in Clinical Trial Biostatistics

Applied Statistical Designs for the Researcher

Handbook of Regression and Modeling

Statistical Design and Analysis of Stability Studies

Elementary Bayesian Biostatistics

Design and Analysis of Bioavailability and Bioequivalence Studies

Multiple Testing Problems in Pharmaceutical Statistics

Design and Analysis of Clinical Trials with Time-to-Event Endpoints

Bayesian Methods for Measures of Agreement

Bayesian Modeling in Bioinformatics

Clinical Trial Methodology

Bayesian Adaptive Methods for Clinical Trials

Monte Carlo Simulation for the Pharmaceutical Industry

Frailty Models in Survival Analysis

Dose Finding by the Continual Reassessment Method

Statistical Evaluation of Diagnostic Performance

Adaptive Design Methods in Clinical Trials

Design and Analysis of Non-Inferiority Trials

Randomized Clinical Trials of Nonpharmacological Treatments

Bayesian Analysis Made Simple

Controversial Statistical Issues in Clinical Trials

Advanced Bayesian Methods for Medical Test Accuracy

Design and Analysis of Bridging Studies

Bayesian Methods in Health Economics

Interval-Censored Time-to-Event Data

Patient-Reported Outcomes

Randomized Phase II Cancer Clinical Trials

Survival Analysis in Medicine and Genetics

Theory of Drug Development

Bayesian Methods in Epidemiology

Benefit-Risk Assessment in Pharmaceutical Research and Development

Adaptive Design Theory and Implementation Using SAS and R

Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research

Statistical Methods in Drug Combination Studies

Quantitative Evaluation of Safety in Drug Development

Inference Principles for Biostatisticians

Mixed Effects Models for the Population Approach

Fundamental Concepts for New Clinical Trialists

Data Analysis with Competing Risks and Intermediate States

Dynamical Biostatistical Models

Exposure-Response Modeling

Design & Analysis of Clinical Trials for Economic Evaluation & Reimbursement

Statistical Methods for Drug Safety

Statistical Methods for Immunogenicity Assessment

Design and Analysis of Clinical Trials for Predictive Medicine

Modern Adaptive Randomized Clinical Trials

Bayesian Methods for Repeated Measures

Analyzing Longitudinal Clinical Trial Data

Data and Safety Monitoring Committees in Clinical Trials

Benefit-Risk Assessment Methods in Medical Product Development

Bioequivalence and Statistics in Clinical Pharmacology

Multiregional Clinical Trials for Simultaneous Global New Drug Development

Bayesian Designs for Phase I-II Clinical Trials

Statistical Testing Strategies in the Health Sciences

Applied Biclustering Methods for Big and High-Dimensional Data Using R

Quantitative Methods for HIV/AIDS Research

Medical Biostatistics

Biosimilar Clinical Development: Scientific Considerations and New Methodologies

Statistical Topics in Health Economics and Outcomes Research

Randomization, Masking, and Allocation Concealment

Cluster Randomised Trials

Clinical Trial Optimization Using R

Sample Size Calculations in Clinical Research

Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials

Methods in Comparative Effectiveness Research

Platform Trial Designs in Drug Development

Modern Adaptive Randomized Clinical Trials

Self-Controlled Case Series Studies

Statistical Approaches in Oncology Clinical Development

Medical Product Safety Evaluation

Statistical Methods for Survival Trial Design

Mixture Modelling for Medical and Health Sciences

Analysis of Incidence Rates

Innovative Statistics in Regulatory Science

Bayesian Analysis with R for Drug Development

Geospatial Health Data

Bayesian Applications in Pharmaceutical Development

Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials

Bayesian Cost-Effectiveness Analysis of Medical Treatments

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare

Sample Size Calculations in Clinical Research

Clinical Trial Simulations

Confidence Intervals for Discrete Data in Clinical Research

Real-World Evidence in Drug Development and Evaluation

Medical Risk Prediction Models

Single-Arm Phase II Survival Trial Design

Methodologies in Biosimilar Product Development