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

von

Yu, QingzhaoLi, Bin

BuchKartoniert, Paperback

Verkaufsrang2091inEnglish Non Fiction A-Z

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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

Verlag

Taylor and Francis

Chapman and Hall/CRC

Erscheinungsdatum27.05.2024

Auflage1. A.

ReiheChapman & Hall/CRC Biostatistics Series

Seiten294 Seiten

SpracheEnglisch

IllustrationenFarb., s/w. Abb.

Artikel-Nr.60722894

WarengruppeEnglish Non Fiction

DetailwarengruppeEnglish Non Fiction A-Z

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Reihe

Foundations for High-Throughput Omics Data Analysis

Statistical Omics

ROC analysis for Classification and Prediction in Practice

Drug Development for Rare Diseases

Statistical Analytics for Health Data Science with SAS and R

Design and Analysis of Pragmatic Trials

Controlled Epidemiological Studies

Adaptive Design Methods in Clinical Trials

Bayesian Methods in Health Economics

Design and Analysis of Bioavailability and Bioequivalence Studies

Handbook of Regression and Modeling

Joint Models for Longitudinal and Time-to-Event Data

Mixed Effects Models for the Population Approach

Multiple Testing Problems in Pharmaceutical Statistics

Statistical Methods for Drug Safety

Statistics In the Pharmaceutical Industry

Survival Analysis in Medicine and Genetics

Statistical Methods in Health Disparity Research

Signal Detection for Medical Scientists

Single-Arm Phase II Survival Trial Design

Methodologies in Biosimilar Product Development

Case Studies in Innovative Clinical Trials

Value of Information for Healthcare Decision-Making

Probability Modeling and Statistical Inference in Cancer Screening

Development of Gene Therapies

Confidence Intervals for Discrete Data in Clinical Research

Quantitative Drug Safety and Benefit Risk Evaluation

Simultaneous Global New Drug Development

Bayesian Precision Medicine

Statistical Methods for Dynamic Disease Screening and Spatio-Temporal Disease Surveillance

Causal Inference in Pharmaceutical Statistics

Applied Microbiome Statistics

Association Models in Epidemiology

Advanced Statistics in Regulatory Critical Clinical Initiatives