Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS - Image 1

£83.97

It has never been this cheap. We have no record of a lower price.

£84 today · cheaper than every other day in the last 3 months

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

Name: Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS
Brand: SAS Institute
Price: 83.97 GBP
Availability: InStock

Business & Home Office

Price Distribution

Price distribution over 54 days • 1 price levels

Days at Price

Price Analysis

Most common price: £84 (54 days, 100.0%)

Price range: £84 - £84

Price levels: 1 different prices over 54 days

Description

Discover best practices for real world data research with SAS code and examples Real world health care data is common and growing in use with sources such as observational studies, patient registries, electronic medical record databases, insurance healthcare claims databases, as well as data from pragmatic trials. This data serves as the basis for the growing use of real world evidence in medical decision-making. However, the data itself is not evidence. Analytical methods must be used to turn real world data into valid and meaningful evidence. Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS brings together best practices for causal comparative effectiveness analyses based on real world data in a single location and provides SAS code and examples to make the analyses relatively easy and efficient. The book focuses on analytic methods adjusted for time-independent confounding, which are useful when comparing the effect of different potential interventions on some outcome of interest when there is no randomization. These methods include: propensity score matching, stratification methods, weighting methods, regression methods, and approaches that combine and average across these methods methods for comparing two interventions as well as comparisons between three or more interventions algorithms for personalized medicine sensitivity analyses for unmeasured confounding

Product Specifications

Brand: SAS Institute
Format: hardcover
ASIN: 1642958026
Category: Books > Subjects > Computing & Internet > Software & Graphics > Business & Home Office
Domain: Amazon UK
Release Date: 15 January 2020
Listed Since: 16 January 2020

Barcode

No barcode data available

It has never been this cheap. We have no record of a lower price.

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

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

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

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

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

Statistical Analytics for Health Data Science SAS and R Set

The Effect: An Introduction to Research Design and Causality

Statistical Models in Epidemiology, the Environment, and Clinical Trials: 116 (The IMA Volumes in Mathematics and its Applications, 116)

Clinical Trial Data Analysis Using R and SAS (Chapman & Hall/CRC Biostatistics Series)

Randomization in Clinical Trials: Theory and Practice (Wiley Series in Probability and Statistics)

Clinical Trial Data Analysis Using R and SAS (Chapman & Hall/CRC Biostatistics Series)

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

Interval-Censored Time-to-Event Data: Methods and Applications: 52 (Chapman & Hall/CRC Biostatistics Series)

Interval-Censored Time-to-Event Data: Methods and Applications (Chapman & Hall/CRC Biostatistics Series)

Exploring Medical Statistics: Biostatistics, Clinical Trials, and Epidemiology

Modern Statistical Methods for Health Research (Emerging Topics in Statistics and Biostatistics)

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference (Chapman & Hall/CRC Computational Biology Series)

Biostatistics and Computer-based Analysis of Health Data Using SAS (Biostatistics and Health Science)

Statistical Testing Strategies in Health Sciences - CRC Biostatistics

Applied Biostatistics for the Health Sciences

Modern Survival Analysis in Clinical Research: Cox Regressions Versus Accelerated Failure Time Models

Modern Approaches to Clinical Trials Using SAS: Classical, Adaptive, and Bayesia: Classical, Adaptive, and Bayesian Methods

Wiley - Theory of Response-Adaptive Randomization in Trials

Incomplete Categorical Data Design: Non-Randomized Response Techniques for Sensitive Questions in Surveys (Chapman & Hall/Crc Statistics in the Social and Behavioral Sciences)

CRC Press Linear Mixed Models - Practical Guide 3rd Edition

Success Probability Estimation with Applications to Clinical Trials

It has never been this cheap. We have no record of a lower price.

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

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

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

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

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

Statistical Analytics for Health Data Science SAS and R Set

The Effect: An Introduction to Research Design and Causality

Statistical Models in Epidemiology, the Environment, and Clinical Trials: 116 (The IMA Volumes in Mathematics and its Applications, 116)

Clinical Trial Data Analysis Using R and SAS (Chapman & Hall/CRC Biostatistics Series)

Randomization in Clinical Trials: Theory and Practice (Wiley Series in Probability and Statistics)

Clinical Trial Data Analysis Using R and SAS (Chapman & Hall/CRC Biostatistics Series)

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

Interval-Censored Time-to-Event Data: Methods and Applications: 52 (Chapman & Hall/CRC Biostatistics Series)

Interval-Censored Time-to-Event Data: Methods and Applications (Chapman & Hall/CRC Biostatistics Series)

Exploring Medical Statistics: Biostatistics, Clinical Trials, and Epidemiology

Modern Statistical Methods for Health Research (Emerging Topics in Statistics and Biostatistics)

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference (Chapman & Hall/CRC Computational Biology Series)

Biostatistics and Computer-based Analysis of Health Data Using SAS (Biostatistics and Health Science)

Statistical Testing Strategies in Health Sciences - CRC Biostatistics

Applied Biostatistics for the Health Sciences

Modern Survival Analysis in Clinical Research: Cox Regressions Versus Accelerated Failure Time Models

Modern Approaches to Clinical Trials Using SAS: Classical, Adaptive, and Bayesia: Classical, Adaptive, and Bayesian Methods

Wiley - Theory of Response-Adaptive Randomization in Trials

Incomplete Categorical Data Design: Non-Randomized Response Techniques for Sensitive Questions in Surveys (Chapman & Hall/Crc Statistics in the Social and Behavioral Sciences)

CRC Press Linear Mixed Models - Practical Guide 3rd Edition

Success Probability Estimation with Applications to Clinical Trials