# Petitions in science?

Hardwicke TE, Ioannidis JPA. Petitions in scientific argumentation: Dissecting the request to retire statistical significance. European Journal of Clinical Investigation. 2019;49 10.1111/eci.13162 [open access].

"One perspective on scientific argumentation states that it is irrelevant who has made an argument; it is the substance of the argument that is of primary importance"

"One perspective on scientific argumentation states that it is irrelevant who has made an argument; it is the substance of the argument that is of primary importance"

# Again on ASA II

Mayo D. On Some Self-Defeating Aspects of the ASA’s (2019) Recommendations on Statistical Significance Tests (ii) [blog]

"In what ways does it make the situation worse? Let me count the ways. The first is in this post. Others will come in following posts, until I become too disconsolate to continue"

"In what ways does it make the situation worse? Let me count the ways. The first is in this post. Others will come in following posts, until I become too disconsolate to continue"

# ⭐️ ASA II: Don’t Say What You Don’t Mean

Mayo D. The 2019 ASA Guide to P-values and Statistical Significance: Don’t Say What You Don’t Mean [blog].

# On the ASA II update

Haig B

"The claimed benefits of abandoning talk of statistical significance are hopeful conjectures"

*.*The ASA’s 2019 update on P-values and significance (ASA II) [blog]"The claimed benefits of abandoning talk of statistical significance are hopeful conjectures"

# Against statistical significance

Amrhein V, Greenland S, McShane B. Scientists rise up against statistical significance.

Should we retire statistical significance? Read Deborah Mayo before deciding!

*Nature*. 2019; 567: 305-307.Should we retire statistical significance? Read Deborah Mayo before deciding!

# Sample size for multinomial logistic regression

de Jong VMT, Eijkemans MJC, van Calster B

"In most cases, the calibration and overall predictive performance of the multinomial prediction model is improved by using penalized maximum likelihood regression"

*et al.*Sample size considerations and predictive performance of multinomial logistic prediction models.*Stat Med*. 2019 (Open Access)."In most cases, the calibration and overall predictive performance of the multinomial prediction model is improved by using penalized maximum likelihood regression"

# Graphics for uncertainty

Bowman A. Graphics for uncertainty. Journal of the Royal Statistical Society: Series A (Statistics in Society) (Open Access). 2019;182:403-418.

Density strips and other tools to graph uncertainty.

Density strips and other tools to graph uncertainty.

# Inappropriate conclusions on body mass index

01 19 body mass index metaresearch

Flegal KM, Ioannidis JPA, Doehner W. Flawed methods and inappropriate conclusions for health policy on overweight and obesity: the Global BMI Mortality Collaboration meta-analysis.

"The ﬂawed conclusion that overweight is uniformly associated with substantially increased risk of death and thus should be combated in any circumstances may lead not only to unjustiﬁed treatment efforts and potential harm in a wide range of clinical conditions but also to a tremendous waste of resources"

*Journal of Cachexia, Sarcopenia and Muscle*. 2019 (Open Access)."The ﬂawed conclusion that overweight is uniformly associated with substantially increased risk of death and thus should be combated in any circumstances may lead not only to unjustiﬁed treatment efforts and potential harm in a wide range of clinical conditions but also to a tremendous waste of resources"