European Society of Contact Dermatitis guideline for diagnostic patch testing–recommendations on best practice
…, R Spiewak, JP Thyssen, M Vigan, IR White… - Contact …, 2015 - Wiley Online Library
… of suffering, or having been suffering, from allergic contact dermatitis or other delayed‐type …
factors influencing the patch test outcome or necessitating special considerations, children, …
factors influencing the patch test outcome or necessitating special considerations, children, …
Review of inverse probability weighting for dealing with missing data
SR Seaman, IR White - Statistical methods in medical …, 2013 - journals.sagepub.com
… An individual is a ‘complete case’ (or ‘complete’) if his or her X and Y are observed. We
use the term ‘observed’ to mean completely observed; ie a set of variables is ‘observed’ on an …
use the term ‘observed’ to mean completely observed; ie a set of variables is ‘observed’ on an …
[HTML][HTML] Missing data in clinical research: a tutorial on multiple imputation
… of interest are not measured or recorded for all subjects in … with missing data are excluded,
or mean-value imputation, … regression coefficients) and/or to confidence intervals that are …
or mean-value imputation, … regression coefficients) and/or to confidence intervals that are …
RoB 2: a revised tool for assessing risk of bias in randomised trials
… Within each domain, users of RoB 2 answer one or more signalling questions. These …
sought papers and textbooks presenting classifications or definitions of biases, and organised …
sought papers and textbooks presenting classifications or definitions of biases, and organised …
[HTML][HTML] Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
… We discuss the circumstances in which multiple imputation may help by reducing bias or
increasing precision, as well as describing potential pitfalls in its application. Finally, we …
increasing precision, as well as describing potential pitfalls in its application. Finally, we …
Multiple imputation using chained equations: issues and guidance for practice
… and/or inefficient estimates of parameters such as means or … does not depend on the observed
or unobserved data), (ii) … , conditional on the observed data) or (iii) missing not at random (…
or unobserved data), (ii) … , conditional on the observed data) or (iii) missing not at random (…
[HTML][HTML] Blood pressure and incidence of twelve cardiovascular diseases: lifetime risks, healthy life-years lost, and age-specific associations in 1· 25 million people
… Patients were classified as having hypertension if their baseline blood pressure was 140/90
mm Hg or higher, or they had a recorded diagnosis of hypertension, or they received repeat …
mm Hg or higher, or they had a recorded diagnosis of hypertension, or they received repeat …
Consistency and inconsistency in network meta‐analysis: concepts and models for multi‐arm studies
…, JK Barrett, G Lu, AE Ades, IR White - Research synthesis …, 2012 - Wiley Online Library
Meta‐analyses that simultaneously compare multiple treatments (usually referred to as
network meta‐analyses or mixed treatment comparisons) are becoming increasingly common. …
network meta‐analyses or mixed treatment comparisons) are becoming increasingly common. …
[HTML][HTML] Comparative cellular analysis of motor cortex in human, marmoset and mouse
… To obtain the best experience, we recommend you use a more up to date browser (or turn
off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we …
off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we …
Imputing missing covariate values for the Cox model
… for imputing binary or Normal X is a logistic or linear regression on … /or small cumulative
incidence. If we do not know H0(T), we approximate it by the Nelson–Aalen estimator of H(T) or …
incidence. If we do not know H0(T), we approximate it by the Nelson–Aalen estimator of H(T) or …