The 3rd edition of the International Classification of Headache Disorders (ICHD-3) may be reproduced freely for scientific, educational or clinical uses by institutions, societies or individuals. Otherwise, copyright belongs exclusively to the International Headache Society. Reproduction of any part or parts in any manner for commercial uses requires the Society’s permission, which will be granted on payment of a fee. Please contact the publisher at the address below. International Headache Society 2013–2018. Applications for copyright permissions should be submitted to Sage Publications Ltd, 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP, United Kingdom (tel: þ44 (0) 207 324 8500; fax: þ44 (0) 207 324 8600; permissions@sagepub.co.uk) (www.uk.sagepub.com). Translations

Headache Classification Committee of the International Headache Society (IHS) The International Classification of Headache Disorders, 3rd edition

https://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(08)60269-X.pdf

Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies

Generalized linear mixed models provide a flexible framework for modeling a range of data, although with non-Gaussian response variables the likelihood cannot be obtained in closed form. Markov chain Monte Carlo methods solve this problem by sampling from a series of simpler conditional distributions that can be evaluated. The R package MCMCglmm implements such an algorithm for a range of model fitting problems. More than one response variable can be analyzed simultaneously, and these variables are allowed to follow Gaussian, Poisson, multi(bi)nominal, exponential, zero-inflated and censored distributions. A range of variance structures are permitted for the random effects, including interactions with categorical or continuous variables (i.e., random regression), and more complicated variance structures that arise through shared ancestry, either through a pedigree or through a phylogeny. Missing values are permitted in the response variable(s) and data can be known up to some level of measurement error as in meta-analysis. All simu- lation is done in C/ C++ using the CSparse library for sparse linear systems.

https://cran.r-project.org/web//packages/MCMCglmm/vignettes/Overview.pdf

MCMC Methods for Multi-Response Generalized Linear Mixed Models: The MCMCglmm R Package

Statistical Analysis with Missing Data

QuPath is new bioimage analysis software designed to meet the growing need for a user-friendly, extensible, open-source solution for digital pathology and whole slide image analysis. In addition to offering a comprehensive panel of tumor identification and high-throughput biomarker evaluation tools, QuPath provides researchers with powerful batch-processing and scripting functionality, and an extensible platform with which to develop and share new algorithms to analyze complex tissue images. Furthermore, QuPath’s flexible design makes it suitable for a wide range of additional image analysis applications across biomedical research.

/pdf/qupath-open-source-software-for-digital-pathology-image-3nb18folns.pdf

QuPath: Open source software for digital pathology image analysis

Copyright (©) 1999–2009 R Foundation for Statistical Computing. Permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and this permission notice are preserved on all copies. Permission is granted to copy and distribute modified versions of this manual under the conditions for verbatim copying, provided that the entire resulting derived work is distributed under the terms of a permission notice identical to this one. Permission is granted to copy and distribute translations of this manual into another language, under the above conditions for modified versions, except that this permission notice may be stated in a translation approved by the R Development Core Team.

R Development Core Team (2010): R: A language and environment for statistical computing

Basics. - The R environment. - Probability and statistics. - Descriptive statistics and graphics. - One and two sample tests. - Regression and correlation. - ANOVA and Kruskal-Wallis. - Tabular data. - Power and the computation of sample size. - Advanced data handling. - Multiple regression. - Linear models. - Logistic regression. - Survival analysis. - Rates and Poisson regression. - Nonlinear curve-fitting. - Obtaining and installing R and the ISwR package. - Data sets in the ISwR package. - Compendium. - Answers to exercises. - Index.

/pdf/introductory-statistics-with-r-529bd3kfcd.pdf

Introductory statistics with R

Serum levels of insulin-like growth factor-I (IGF-I) increase with age and pubertal development. The large variation in circulating IGF-I levels in adolescence makes it difficult to use the IGF-I value of a single child in the assessment of his growth status. In addition, the interference of IGF-binding proteins in many IGF-I assays contributes to this problem. We measured IGF-I in acid-ethanol-extracted serum from 1030 healthy children, adolescents, and adults, employing a RIA that reduces interference of IGF-binding proteins by using monoiodinated Tyr31-[125I]des-(1-3)IGF-I as radioligand. Mean serum IGF-I concentrations increased slowly in prepubertal children from 80-200 micrograms/L with a further steep increase during puberty to approximately 500 micrograms/L. After puberty, a subsequent continuous fall in circulating IGF-I levels was apparent throughout adulthood to a mean of 100 micrograms/L at the age of 80 yr (P < 0.0001). Girls had maximal IGF-I levels at 14.5 yr of age, whereas boys had peak IGF-I levels 1 yr later. This is almost 2 yr later than average peak height velocity. The large variation in serum IGF-I levels during puberty was diminished when data were separated according to sex and Tanner stage of puberty. Interestingly, we found a significant variation with age within the Tanner stages; there was an increase in serum IGF-I concentrations with age in the early pubertal stages and a decrease in the late stages (P < 0.05). Serum IGF-I increased concomitantly with increasing testicular volume. Multiple regression analysis revealed that serum IGF-I levels predicted height velocity in the following year (r = 0.33; P < 0.0001). Body mass index did not correlate significantly with serum IGF-I in prepubertal children in a multiple regression analysis. In conclusion, there was a significant variation in serum IGF-I levels with age within a given Tanner stage of puberty in addition to the well known increase with increasing age or pubertal stage. Accordingly, the effects of sex, age, and puberty on serum IGF-I cannot be separated into simple additive components when studying 1030 children in a cross-sectional design. Thus, the age-, sex-, and puberty-corrected IGF-I values may, in fact, improve the use of serum IGF-I as a diagnostic tool to distinguish between a child with retarded puberty and a GH-deficient individual.

Serum insulin-like growth factor I in 1030 healthy children, adolescents and adults ; relation to age, sex, stage of puberty, testicular size and body mass index

Circulating IGF-I and -II are bound to specific insulin-like growth factor (IGF)-binding proteins (IGFBPs), of which IGFBP-3 binds the majority of the IGFs. IGFBP-3 levels are regulated by GH and have been suggested to provide additional information on GH secretory capacity compared to IGF-I. However, the diagnostic value of IGFBP-3 is still controversial, perhaps because the quality of the available normative data for IGFBP-3 varies. It has recently been shown that a large number of individuals is required to establish reference ranges for IGF-I that take into account age, sex, body mass index (BMI), and pubertal stage. Therefore, we measured IGFBP-3, IGF-I, IGF-II, IGFBP-1, and IGFBP-2 levels by RIA in 907 healthy children to establish well characterized normative data on IGFBP-3 according to age, sex, and pubertal stage and to study the complex relationship between IGFs and their BPs in puberty. We found that IGFBP-3 levels increase with age in children, with maximal levels in puberty; girls experience peak values approximately 1 yr earlier than boys. Age, sex, height, BMI, and pubertal maturation were all important factors in determining the circulating levels of IGFBP-3, whereas IGF-I levels were unaffected by BMI. Comparison of IGFBP-3 with IGF-1 concentrations revealed that they did not exhibit the same developmental pattern in puberty. IGF-I levels increased to relatively higher levels than IGFBP-3, leading to an increasing molar ratio between IGF-I and IGFBP-3 in puberty, when growth velocity is high. Concomitantly, IGF-II and IGFBP-2 levels were unchanged throughout puberty, whereas IGFBP-1 levels declined with age in prepubertal children, with lowest values in puberty. There was a highly significant correlation between IGF-I and -II and IGFBP-3 on a molar basis (r = 0.84; P < 0.0001). Thus, we speculate that IGFBP-3 is pivotal for circulating IGF bioactivity and that the increase in the molar ratio between IGF-I and IGFBP-3 reflects an increase in free, biologically active IGF-I. In conclusion, we have provided normative data on a large group of healthy individuals and conclude that age, sex, height, BMI, and pubertal maturation have to be taken into account before a single IGFBP-3 value in a growth-retarded child can be evaluated properly.

Serum levels of insulin-like growth factor (IGF)-binding protein-3 (IGFBP-3) in healthy infants, children, and adolescents: the relation to IGF-I, IGF-II, IGFBP-1, IGFBP-2, age, sex, body mass index, and pubertal maturation

PURPOSEThis trial was undertaken to evaluate the effect of adjuvant tamoxifen on bone metabolism in postmenopausal women undergoing surgery for low-risk breast cancer.PATIENTS AND METHODSIn an open trial, 25 women were randomized to receive tamoxifen 30 mg/d for 2 years, and 25 women constituted the control group. Twenty women treated with tamoxifen and 23 women in the control group provided data for the analysis. Inclusion criteria were operation for low-risk breast cancer and cessation of menstruations for more than 1 year. Exclusion criteria were presence of metastases, disorders of bone metabolism, contraindications against tamoxifen, use of drugs with influence on bone metabolism, ailments that made bone mineral measurements impossible, and age greater than 65 years. Repeated measurements of bone mineral density and content at the lumbar spine and forearms, serum alkaline phosphatase, phosphate, and ionized calcium were performed in all patients.RESULTSLumbar spine bone mineral density increased duri...

Peter Dalgaard

Papers

R Development Core Team (2010): R: A language and environment for statistical computing

Introductory statistics with R

Serum insulin-like growth factor I in 1030 healthy children, adolescents and adults ; relation to age, sex, stage of puberty, testicular size and body mass index

Serum levels of insulin-like growth factor (IGF)-binding protein-3 (IGFBP-3) in healthy infants, children, and adolescents: the relation to IGF-I, IGF-II, IGFBP-1, IGFBP-2, age, sex, body mass index, and pubertal maturation

Tamoxifen and bone metabolism in postmenopausal low-risk breast cancer patients: a randomized study.