Causal Inference in Pharmaceutical Statistics (Chapman & Hall/CRC Biostatistics Series) - Image 1

£93.91

Chapman and Hall/CRC Causal Inference in Pharmaceutical Statistics (Chapman & Hall/CRC Biostatistics Series)

Name: Causal Inference in Pharmaceutical Statistics (Chapman & Hall/CRC Biostatistics Series)
Brand: Chapman and Hall/CRC
Price: 93.91 GBP
Availability: InStock

General Medical Issues

This is the most expensive it has ever been. Walk away.

£94 today · previous high £94 · all-time low £72

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 585 days • 585 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 585 days • 5 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £85-89 (213 days, 36.4%)

Price range: £72 - £94

Price levels: 5 price ranges over 585 days

Description

Causal Inference in Pharmaceutical Statistics introduces the basic concepts and fundamental methods of causal inference relevant to pharmaceutical statistics. This book covers causal thinking for different types of commonly used study designs in the pharmaceutical industry, including but not limited to randomized controlled clinical trials, longitudinal studies, singlearm clinical trials with external controls, and real-world evidence studies. The book starts with the central questions in drug development and licensing, takes the reader through the basic concepts and methods via different study types and through different stages, and concludes with a roadmap to conduct causal inference in clinical studies. The book is intended for clinical statisticians and epidemiologists working in the pharmaceutical industry. It will also be useful to graduate students in statistics, biostatistics, and data science looking to pursue a career in the pharmaceutical industry. Key Features: Causal inference book for clinical statisticians in the pharmaceutical industry Introductory level on the most important concepts and methods Align with FDA and ICH guidance documents Across different stages of clinical studies: plan, design, conduct, analysis, and interpretation Cover a variety of commonly used study designs

Key Features

Causal Inference In Pharmaceutical Statistics Chapman Hall Crc Biostatistics Series

Product Type: Abis Book

Language: English

Product Specifications

Brand: Chapman and Hall/CRC
Format: Hardcover
ASIN: 1032560142
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners > General Medical Issues
Domain: Amazon UK
Release Date: 14 June 2024
Listed Since: 12 December 2023

Barcode

No barcode data available

Chapman and Hall/CRC Causal Inference in Pharmaceutical Statistics (Chapman & Hall/CRC Biostatistics Series)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS

A First Course in Causal Inference (Chapman & Hall/CRC Texts in Statistical Science)

Multiple Testing Problems in Pharmaceutical Statistics (Chapman & Hall/CRC Biostatistics Series)

Real-World Evidence in Drug Development and Evaluation (Chapman & Hall/CRC Biostatistics Series)

Multiple Testing Problems in Pharmaceutical Statistics: 33 (Chapman & Hall/CRC Biostatistics Series)

Real-World Evidence in Drug Development and Evaluation (Chapman & Hall/CRC Biostatistics Series)

Success Probability Estimation with Applications to Clinical Trials

Statistics and Causality: Methods for Applied Empirical Research: 2 (Wiley Series in Probability and Statistics)

Fundamentals of Causal Inference: With R (Chapman & Hall/CRC Texts in Statistical Science)

The Effect: An Introduction to Research Design and Causality

Statistical Thinking for Non-Statisticians in Drug Regulation

Exploring Medical Statistics: Biostatistics, Clinical Trials, and Epidemiology

Real-World Evidence in a Patient-Centric Digital Era (Chapman & Hall/CRC Biostatistics Series)

Real-World Evidence in a Patient-Centric Digital Era (Chapman & Hall/CRC Biostatistics Series)

Sample Size Calculations in Clinical Research (Chapman & Hall/CRC Biostatistics Series)

Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials (Chapman & Hall/CRC Biostatistics Series)

Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials (Chapman & Hall/CRC Biostatistics Series)

Theory of Drug Development: 61 (Chapman & Hall/CRC Biostatistics Series)

Design and Analysis of Experiments and Observational Studies using R (Chapman & Hall/CRC Texts in Statistical Science)

Design and Analysis of Clinical Trials: Concept and Methodologies (Wiley Series in Probability and Statistics)

Design and Analysis of Clinical Trials with Time-to-Event Endpoints: 31 (Chapman & Hall/CRC Biostatistics Series)

Statistics In the Pharmaceutical Industry: 14 (Chapman & Hall/CRC Biostatistics Series)

Theory of Drug Development (Chapman & Hall/CRC Biostatistics Series)

Quantitative Evaluation of Safety in Drug Development: Design, Analysis and Reporting: 67 (Chapman & Hall/CRC Biostatistics Series)