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Mathematical and Statistical Skills in the Biopharmaceutical Industry: A Pragmatic Approach

Mathematical and Statistical Skills in the Biopharmaceutical Industry: A Pragmatic Approach

Wydawnictwo Taylor & Francis Inc
Data wydania 15/07/2019
Liczba stron 220
Forma publikacji książka w twardej oprawie
Poziom zaawansowania Dla szkół wyższych i kształcenia podyplomowego
ISBN 9781498769792
Kategorie Badania kliniczne, Epidemiologia i statystyka medyczna, Prawdopodobieństwo i statystyka, Technologia farmaceutyczna
635.00 PLN (z VAT)
$169.78 / €139.76 / £124.17 /
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Opis książki

Mathematical and Statistical Skills in the Biopharmaceutical Industry: A Pragmatic Approach describes a philosophy of efficient problem solving showcased using examples pertinent to the biostatistics function in clinical drug development. It was written to share a quintessence of the authors' experiences acquired during many years of relevant work in the biopharmaceutical industry. The book will be useful will be useful for biopharmaceutical industry statisticians at different seniority levels and for graduate students who consider a biostatistics-related career in this industry. Features: Describes a system of principles for pragmatic problem solving in clinical drug development. Discusses differences in the work of a biostatistician in small pharma and big pharma. Explains the importance/relevance of statistical programming and data management for biostatistics and necessity for integration on various levels. Describes some useful statistical background that can be capitalized upon in the drug development enterprise. Explains some hot topics and current trends in biostatistics in simple, non-technical terms. Discusses incompleteness of any system of standard operating procedures, rules and regulations. Provides a classification of scoring systems and proposes a novel approach for evaluation of the safety outcome for a completed randomized clinical trial. Presents applications of the problem solving philosophy in a highly problematic transfusion field where many investigational compounds have failed. Discusses realistic planning of open-ended projects.

Mathematical and Statistical Skills in the Biopharmaceutical Industry: A Pragmatic Approach

Spis treści

1. Background and Motivation

Pragmatic approach to problem solving
Problem solving skills

Mathematics versus statistics

A look at the modern drug development

Stages of drug development

Factors that have had an impact on drug development

Statistics and evidence-based science

In summary: what this book is all about

Introduction to Chapters 2, 3, and 4

2 Statistical Programming


Asking the right questions

Choice of statistical and presentation software

\95/5" rule

The sources

SAS Certification | Is it worth time and efforts?

Data access, data creation and data storage

Getting data from external files

Data handling

The DATA step

Loops and arrays

Going from vertical to horizontal datasets and vice versa

Why do we need basic knowledge of the Macro language?

Open code vs. DATA step

Loops in the open code (inside macros) and nested macros

Use of pre-written (by others) macro code


3 Data Management


Design of data collection

Organization of data collection

Data cleaning or verification

Re-structuring of the data

First case study

Second case study


4 Biostatistics


The biostatistician's role

Background assessment: what do we start with?

A minimal sufficient set of tools for the biostatistician

Knowledge of the disease area

Knowledge of the regulatory landscape

Understanding of the clinical trial protocol

Knowledge of statistical methodologies for protocol development

Statistical software

Communication skills

Knowledge of processes

Advanced biostatistics toolkit

Adaptive designs

Basket, umbrella, platform trials and master protocols

Dose-finding methods

Multiplicity issues


Quantitative decision-making support

Digital development


Introduction to Chapters 5, 6, and 7

5 Development of New Validated Scoring Systems


Recognition of problem existence

Study of available methods and tools with consequent realization that they are insufficient

Clear formulation and formalization of the main task to be solved

A solution itself

Are we finished? Not in the regulatory setting!

Assessment of created by-products as potentially new tools, skills and methods

Generalization of all achievements and evaluation of potential applications in real world

6 Resurrecting a Failed Clinical Program

Preamble: what we are dealing with

Problems solved

Studying drugs with dosage that depends on needs

Separation of toxicity and efficacy effects in safety outcome misbalance

Creation of a PK model for the transfusion field

Mystery of the transfusion trigger

The rise and fall of the HBOC field


7 Can One Predict Unpredictable?

Personal disclaimer/preamble

First, what can we do?

Problems in planning of the open-ended projects

Extraneous vs. overlooked parts in preliminary planning

Level of uncertainty of elementary tasks

Terminology and definitions

Estimating distribution of time to completion of an open-ended project

Surprising results of first test runs of the algorithm

The nature of estimates for elementary tasks

Estimation for a single branch

How to analyze the results?


Appendix A: Relativistic and Probabilistic Functions

Appendix B: Manual for Successful Crusade in Defence of Patients' Rights


Final Remark


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