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How Biostatisticians Can Convert PDF Guidelines and Research Papers to EPUB (2026)

Biostatisticians accumulate a wide reading load of PDFs: ICH E9 and E9(R1) estimand guidelines, FDA adaptive design and multiple endpoints guidance, EMA reflection papers on missing data and multiplicity, CIOMS working group reports on statistical methodology, and journals such as Statistics in Medicine, Biometrics, and the Journal of Biopharmaceutical Statistics. Converting these to EPUB lets you read them on a Kindle or Kobo with adjustable font size, dark mode, and offline access — practical for commuting, conference travel, and CPD sessions.

Key PDF Sources for Biostatisticians

Source	Document type	Converts well?
ICH (ich.org)	E9, E9(R1), E10, E17 statistical guidelines	Yes — free to download and convert
FDA CDER/CBER (fda.gov)	Adaptive design, endpoints, Bayesian guidance	Yes — free to download and convert
EMA (ema.europa.eu)	Reflection papers on statistics, missing data	Yes — free to download and convert
arXiv (arxiv.org/stat)	Statistical methodology preprints	Yes — free, single-column papers convert well
PubMed Central (PMC)	Open access Statistics in Medicine and Biometrics articles	Yes — open access PDFs convert well

Reading Workflows for Biostatisticians

Workflow	Steps
Commute reading	Download ICH E9(R1) or FDA adaptive design guidance PDF → convert → Kindle; read estimand framework sections with annotations before SAP drafting
Methodology catch-up	Download arXiv statistics preprint or Statistics in Medicine article PDF → convert → Kobo; read methodology and simulation study design sections during commute
Regulatory review	Download EMA reflection paper PDF → convert → e-reader; read regulatory position sections offline before pre-submission meeting preparation
CPD and conference prep	Download PSI or EFSPI conference paper PDF → convert → read on e-reader during travel; export highlights for post-conference notes

Tips for Biostatistics PDFs

ICH E9(R1) estimands: ICH E9(R1) is a concise document (30 pages) that introduced the estimand framework (treatment policy, hypothetical, composite, while on treatment, principal stratum strategies). It converts cleanly to a focused EPUB. Read it in full on the commute — the entire addendum is one e-reader reading session. Bookmark the framework terminology section for quick reference during SAP peer review.
FDA adaptive design guidance: FDA publishes an Adaptive Designs for Clinical Trials of Drugs and Biologics guidance (2019) as a free PDF. This covers pre-specified adaptations, adaptive seamless designs, biomarker-adaptive trials, and sample size re-estimation. It converts cleanly to EPUB with navigable sections — practical for reading before designing an adaptive study protocol.
EMA reflection papers: EMA has published reflection papers on missing data (2010), subgroup analyses (2019), and adaptive designs. These are shorter than FDA guidance documents (20–50 pages) and convert cleanly. They represent the EMA's regulatory position on key statistical controversies — important reading for EU submissions.
Mathematical notation in journal papers: Statistics in Medicine and Biometrics papers are typeset with LaTeX. Complex mathematical formulae (likelihood functions, matrix notation) may render as images in converted EPUB. The textual narrative, simulation study setup, and results interpretation sections convert cleanly. Use the e-reader for the prose framework; keep the PDF for formula details.
PSI and EFSPI resources: The Statisticians in the Pharmaceutical Industry (PSI) and European Federation of Statisticians in the Pharmaceutical Industry (EFSPI) publish working party reports, guidance papers, and conference proceedings as free PDFs. These are practical professional development resources that convert cleanly to EPUB for commute reading.

FAQ

Which biostatistics PDFs convert best to EPUB?

ICH E9 (Statistical Principles for Clinical Trials) and ICH E9(R1) (Addendum on Estimands and Sensitivity Analysis), FDA adaptive design guidance, EMA reflection papers on missing data and subgroup analysis, and Statistics in Medicine journal articles all convert well. These are text-based documents with numbered section structures that convert cleanly to EPUB. Statistical analysis plan (SAP) output tables, forest plots, and complex formula appendices are better kept as PDFs.

Can I convert ICH E9 and ICH E9(R1) to EPUB?

Yes. ICH publishes both the original ICH E9 (Statistical Principles for Clinical Trials, 1998) and ICH E9(R1) (Addendum on Estimands and Sensitivity Analysis, 2019) as free PDFs on ich.org. ICH E9(R1) in particular is essential reading for biostatisticians working on clinical trial estimand frameworks. Both guidelines are structured text documents that convert cleanly to EPUB with navigable section headings.

Can I convert FDA and EMA statistical guidance to EPUB?

Yes. FDA CDER and CBER publish numerous guidance documents on statistical topics as free PDFs on fda.gov — including adaptive design guidance, multiple endpoints, enrichment strategies, and Bayesian methods. EMA publishes reflection papers and guidelines on missing data, multiplicity, and subgroup analyses as free PDFs on ema.europa.eu. Both convert cleanly to EPUB for commute reading.

Which e-reader is best for biostatisticians?

The Kindle Paperwhite or Kobo Libra Colour are practical for converted EPUB biostatistics documents (ICH guidelines, regulatory guidance, journal articles). For documents with heavy mathematical notation — formulae, proof derivations, simulation study tables — a tablet may be more practical, as complex LaTeX-rendered equations sometimes render as images in converted EPUBs. The e-reader is best for reading the conceptual sections and regulatory requirements prose.

Can I read Statistics in Medicine and Biometrics papers on an e-reader?

Yes. Statistics in Medicine and Biometrics publish open access and author-accepted manuscript versions of many articles. Author-accepted manuscripts are often available via PubMed Central or institutional repositories as PDFs. These convert cleanly to EPUB. Highly mathematical methods papers with dense formula sections are easier to follow in the original PDF; introductory, discussion, and applied results sections convert well to e-reader EPUB format.