Mathematical and Statistical Skills in the Biopharmaceutical Industry: A Pragmatic Approach, 1st Edition (Hardback) book cover

Mathematical and Statistical Skills in the Biopharmaceutical Industry

A Pragmatic Approach, 1st Edition

By Arkadiy Pitman, Oleksandr Sverdlov, L. Bruce Pearce

Chapman and Hall/CRC

227 pages

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Hardback: 9781498769792
pub: 2019-07-16
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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.


  • 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.


"This is a highly original, extremely interesting, and in many ways impressive book. Its matter is largely about what it entails to be a professional biostatistician (in the widest sense of the word): what skills and attitudes you need to solve the problems encountered in exercising your profession. It is clear that the authors have thought long and hard about the problems they present. The case-studies are real, complex, interesting, and instructive. The book could only have been written by skilled scientists with long experience of working in the pharmaceutical industry. The reader benefits from the authors’ experience. The reader can be in no doubt that he or she is in the hands of experts. I learned a lot from the book." ~Stephen Senn, Retired, Honorary Professor, University of Sheffield

Table of Contents

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


About the Authors

Arkadiy Pitman, MSc is senior director of biostatistics and data management at HBO2 Therapeutics. His experience includes over 20 years of teaching mathematics, logic, statistics, and computer science, as well as over 20 years of work in US small pharma environment, covering data management, statistical programming, biostatistics, regulatory, and medical writing.

Oleksandr Sverdlov, PhD is neuroscience disease area lead statistician in early clinical development at Novartis Pharmaceuticals. He has been actively involved in research on adaptive designs for clinical trials and edited a monograph Modern Adaptive Randomized Clinical Trials: Statistical and Practical Aspects (CRC Press).

L. Bruce Pearce, PhD has background in pharmacology and toxicology. Since 2009 he has served as a consultant to very early and late stage biotechnology and pharmaceutical companies for the development of small molecule-based drugs, biotechnology-derived natural and recombinant biotherapeutics, and medical devices.

About the Series

Chapman & Hall/CRC Biostatistics Series

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Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General
MEDICAL / Pharmacology
MEDICAL / Biostatistics