Statistics in Medicine

Cover image for Vol. 36 Issue 10

EDITORS: Ralph D'Agostino, Simon Day, Joel Greenhouse and Louise Ryan

Impact Factor: 1.533

ISI Journal Citation Reports © Ranking: 2015: 14/20 (Medical Informatics); 26/56 (Mathematical & Computational Biology); 31/123 (Statistics & Probability); 87/124 (Medicine Research & Experimental); 101/173 (Public Environmental & Occupational Health)

Online ISSN: 1097-0258

Tutorial Papers


Top Tutorial Papers

Enjoy these recently published Tutorial papers from Statistics in Medicine for FREE until December 31 2017:


Tutorials Published in 2017 Issues:

Tutorial on statistical considerations on subgroup analysis in confirmatory clinical trials

Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ

Data-driven subgroup identification and analysis in clinical trials

Tutorials Published in 2016 Issues:

Prevalence odds ratio versus prevalence ratio: choice comes with consequences

Tutorial on statistical considerations on subgroup analysis in confirmatory clinical trials

Modeling zero-modified count and semicontinuous data in health services research Part 1: background and overview

Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ

Modeling zero-modified count and semicontinuous data in health services research part 2: case studies

Low-event-rate meta-analyses of clinical trials: implementing good practices

Simple generalized estimating equations (GEEs) and weighted generalized estimating equations (WGEEs) in longitudinal studies with dropouts: guidelines and implementation in R

Tutorial in biostatistics: data-driven subgroup identification and analysis in clinical trials

Tutorials Published in 2015 Issues:

Statistical methods for dealing with publication bias in meta-analysis

Random forest classification of etiologies for an orphan disease

A tutorial on structural equation modeling for analysis of overlapping symptoms in co-occurring conditions using MPlus

A guide to genome-wide association analysis and post-analytic interrogation

Latent class instrumental variables: a clinical and biostatistical perspective

Statistical methods for studying disease subtype heterogeneity

Tutorials Published in 2014 Issues:

Statistical methods for dealing with publication bias in meta-analysis

Recommended tests and confidence intervals for paired binomial proportions

How to interpret a small increase in AUC with an additional risk prediction marker: decision analysis comes through

Instrumental variable methods for causal inference

A toolkit for measurement error correction, with a focus on nutritional epidemiology

Multiple hypothesis testing in genomics

The use of propensity score methods with survival or time-to-event outcomes: reporting measures of effect similar to those used in randomized experiments

Funnel plots for population-based cancer survival: principles, methods and applications

Advanced multiplicity adjustment methods in clinical trials

Graphical assessment of internal and external calibration of logistic regression models by using loess smoothers

Tutorials Published in 2010-2013 Issues:

Traditional multiplicity adjustment methods in clinical trials

Discovering, comparing, and combining moderators of treatment on outcome after randomized clinical trials: a parametric approach

Methods for dealing with time-dependent confounding

A tutorial on propensity score estimation for multiple treatments using generalized boosted models

Tutorial in biostatistics: sample sizes for parallel group clinical trials with binary data

Using R and WinBUGS to fit a generalized partial credit model for developing and evaluating patient-reported outcomes assessments

Designing a pilot sequential multiple assignment randomized trial for developing an adaptive treatment strategy

Frailty models: Applications to biomedical and genetic studies

Multiple imputation using chained equations: Issues and guidance for practice

Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data

The analysis of treatment effects for recurring episodic conditions

Dose-response analyses using restricted cubic spline functions in public health research

Real longitudinal data analysis for real people: Building a good enough mixed model

Logistic quantile regression for bounded outcomes

Efficiency robust statistics for genetic linkage and association studies under genetic model uncertainty

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