Michał Ordak

Assistant Professor at the Medical University of Warsaw. For several years, I have been making attempts to improve the quality of biostatistics worldwide.

[Michał Ordak @MichaOrdak]

A few days ago I was notified to become the chair of the just established Statistics Working Group of the World Association of Medical Editors (BMJ, Lancet, etc.). @i_yakoub_agha @_atanas_ @EmmaGuttman @sminaev2015 @ScienceCommuni2 @TheLancet @EAACI_HQ @WAME_editors @PinkasJJ

[Michał Ordak @MichaOrdak]

Honored to be recognized once again as a Top Reviewer for Allergy. Thank you to the Editors for this distinction. @AllergyEaaci

[Michał Ordak @MichaOrdak]

Grateful for the opportunity to work with my mentee from Ethiopia through the @ASCP_Chicago Mentorship Program and turn mentorship into a published scientific collaboration.

[Michał Ordak @MichaOrdak]

Can AI truly support statistical analysis and statistical peer review? Where are its limits? In this review, I synthesize the 2023–2025 evidence and discuss its implications for internal medicine. @PolishArchives @ScienceCommuni2 @Eur_Sci_Ed @EurekAlert @WCRIFoundation

[Michał Ordak @MichaOrdak]

Following an editorial invitation, my article “Why listening to learners matters in medical education reform” was published in @bmj_latest and shows that learner informed, practice oriented education improves outcomes and reduces stress.

[Michał Ordak @MichaOrdak]

I am pleased to serve as Guest Editor of the IJMS Special Issue "Biostatistics and Data Analysis in Molecular Sciences." It promotes rigorous biostatistical standards to improve reliability and interpretation of molecular research. @MDPIOpenAccess

[Michał Ordak @MichaOrdak]

@Nigelj08223326 @ligabowebster @Michell24423236 @LynchLainey @geoffshumba @Johnnypapa64 Drawing on over 𝟱𝟬𝟬 statistical peer reviews conducted in 2025, my short piece in The BMJ shows that this optimism is weakened by persistent flaws in statistical reporting.

[Michał Ordak @MichaOrdak]

The BMJ News article highlights optimism in medicine and public health. Drawing on over 𝟱𝟬𝟬 statistical peer reviews conducted in 2025, my short piece in The BMJ shows that this optimism is weakened by persistent flaws in statistical reporting. @bmj_latest @GlobalHealthBMJ

[Michał Ordak @MichaOrdak]

@EAACI_HQ Selected as a Mentor, I invite JMs to learn what I offer: discussing statistical and methodological errors, recognising reliable analyses, planning approaches, writing recommendations, conducting research for EAACI presentation, regular meetings, and other support. @EAACI_JM

[Allergy EAACI @AllergyEaaci]

Congratulations to Dr. Ordak receiving Allergy’s Top Reviewer Award.

https://t.co/b9CsnExEfh
#Topreviewer #Allergy_journal

[Michał Ordak @MichaOrdak]

I’m pleased to share that I received two individual Rector’s Awards: a first-degree award for research on WAME members’ views on statistical peer review and a second-degree award for a study on Polish medical students’ views on biostatistics. @PolishArchives @BioMedCentral

[Michał Ordak @MichaOrdak]

@Andrew_Akbashev Many authors express concern that applying appropriate statistical methods would result in non-significant findings, which they believed would reduce their chances of publication. https://t.co/BAn7CYLXyN

[Michał Ordak @MichaOrdak]

Today in @scholarlykitchn I discuss how clear statistical guidelines can help reduce the pressure for “nice” results and support authors, reviewers and editors.

https://t.co/EhJvwkIkiM

[Michał Ordak @MichaOrdak]

@fake_journals @timesofindia This applies, among others, to statistical reviewers, and nowadays we unfortunately face pressure to obtain p < 0.05, which I wrote about in European Science Editing. https://t.co/BAn7CYLpJf

[Michał Ordak @MichaOrdak]

In BMJ I argue that medical education works when it meets real needs; contextual biostatistics teaching improves learning, research quality and patient care. https://t.co/dM2qhCrRFM @bmj_latest

[Allergy EAACI @AllergyEaaci]

AI-Assisted Statistical Review: Could It Have Averted Retractions? A Case-Based Perspective From #Immunology. Michal Ordak

Read the article here: https://t.co/LzG6eO51UZ

This study explores the potential and limitations of using AI models to assist in the detection of statistical flaws during peer review. Using #ChatGPT and #Gemini Advanced 2.0, three retracted articles due to statistical errors were queried with questions regarding statistical errors, test assumptions and reporting clarity. Although both models identified issues in all of the articles, their inherent limitations are discussed.

Read more articles published in #Allergy here: https://t.co/FCAOFXJlRi
#allergy_journal

[Michał Ordak @MichaOrdak]

Pleased to share my review just published in Allergy: a structured, example-based overview of statistical methods in allergy & immunology to support transparent reporting and sound interpretation. https://t.co/0qUWPI0idE @AllergyEaaci @EAACI_JM @EaaciKH @pai_eaaci @EAACI_HQ

[Michał Ordak @MichaOrdak]

Proactive use of the SAMPL Guidelines improves clarity, acceptance rates, reviewer consensus, reduces errors and review rounds.
@ElsevierConnect @WileyGlobal @SpringerNature @OxUniPress @CellPressNews @tandfonline @i_yakoub_agha
https://t.co/ykJvh2QUzD

[Michał Ordak @MichaOrdak]

@AlicjaGardulska @KarolinaZioloP @MNiSW_GOV__PL https://t.co/bhKPfFDinw

[Michał Ordak @MichaOrdak]

Obecny system oceny dorobku sprzyja presji na liczbę publikacji kosztem jakości analiz.
https://t.co/IWFt97x6Bg
@k_pyrc @naukawpolsce @FNP_org_pl @NCN_PL @NAWAPoland @NCBR_pl @MNiSW_GOV__PL @AgencjaBadanMed @Puls_Medycyny @MenedzerZdrowia

[Forum Akademickie @ForumAkad]

#Ewaluacja, jeśli ma wspierać jakość, powinna uwzględniać także takie aspekty, jak rzetelność prowadzenia badań. Wymaga to zmian w systemie, który obecnie kładzie zbyt duży nacisk na liczbę publikacji – uważa @MichaOrdak ⤵️

https://t.co/3RWVmwti6A