BMC Medical Research Methodology

Featured article: Purposive sampling in a qualitative evidence synthesis

In a qualitative evidence synthesis, too much data can undermine the ability to perform a thorough analysis. Purposive sampling of primary studies for inclusion in the synthesis is one way to overcome this. In this highly accessed article, the authors describe the development and application of a sampling framework for a qualitative evidence synthesis on vaccination communication.

Featured article: Systematic or scoping review?

Scoping reviews are a relatively new approach to evidence synthesis with little guidance regarding the decision to choose between a systematic review or scoping review when synthesising evidence. This article the clearly describes the differences and provides guidance for when a scoping review is (and is not) appropriate.

Content type: Research article
| 24 April 2019

An empirical comparison of Bayesian modelling strategies for missing binary outcome data in network meta-analysis

Authors: Loukia M. Spineli
Content type: Research article
| 24 April 2019

Incorporating individual historical controls and aggregate treatment effect estimates into a Bayesian survival trial: a simulation study

Authors: Caroline Brard, Lisa V. Hampson, Nathalie Gaspar, Marie-Cécile Le Deley and Gwénaël Le Teuff
Content type: Research article
| 24 April 2019

Reliability of routinely collected anthropometric measurements in primary care

Authors: Sarah Carsley, Patricia C. Parkin, Karen Tu, Eleanor Pullenayegum, Nav Persaud, Jonathon L. Maguire and Catherine S. Birken
Content type: Research article
| 24 April 2019

Quality in perinatal care: applying performance measurement using joint commission on accreditation of healthcare organizations indicators in Italy

Authors: Claudia Pileggi, Lorena Squillace, Mariavalentina Giordano, Rosa Papadopoli, Aida Bianco and Maria Pavia
Content type: Research article
| 23 April 2019

Disentangling the roles of maternal and paternal age on birth prevalence of down syndrome and other chromosomal disorders using a Bayesian modeling approach

Authors: James A. Thompson

Most recent articles RSS

View all articles

Content type: Software
| 4 December 2009

Meta-Analyst: software for meta-analysis of binary, continuous and diagnostic data

Authors: Byron C Wallace, Christopher H Schmid, Joseph Lau and Thomas A Trikalinos
Content type: Correspondence
| 18 September 2013

Using the framework method for the analysis of qualitative data in multi-disciplinary health research

Authors: Nicola K Gale, Gemma Heath, Elaine Cameron, Sabina Rashid and Sabi Redwood
Content type: Commentary
| 6 January 2010

A tutorial on pilot studies: the what, why and how

Authors: Lehana Thabane, Jinhui Ma, Rong Chu, Ji Cheng, Afisi Ismaila, Lorena P Rios, Reid Robson, Marroon Thabane, Lora Giangregorio and Charles H Goldsmith
Content type: Correspondence
| 9 September 2011

How to do a grounded theory study: a worked example of a study of dental practices

Authors: Alexandra Sbaraini, Stacy M Carter, R Wendell Evans and Anthony Blinkhorn
Content type: Commentary
| 27 June 2011

The case study approach

Authors: Sarah Crowe, Kathrin Cresswell, Ann Robertson, Guro Huby, Anthony Avery and Aziz Sheikh

Most accessed articles RSS

View all articles

Aims and scope

BMC Medical Research Methodology is an open access journal publishing original peer-reviewed research articles in methodological approaches to healthcare research. Articles on the methodology of epidemiological research, clinical trials and meta-analysis/systematic review are particularly encouraged, as are empirical studies of the associations between choice of methodology and study outcomes. BMC Medical Research Methodology does not aim to publish articles describing scientific methods or techniques: these should be directed to the BMC journal covering the relevant biomedical subject area.

Editor

Dirk Krüger, BioMed Central

Section Editors

Chiu-Hsieh (Paul) Hsu, University of Arizona
Livia Puljak, University of Split
Demosthenes Panagiotakos, Harokopio University

Meet the editors

Livia Puljak, MD, PHD is professor at the University of Split School of Medicine in Split, Croatia. Her research interests are focused on methods in evidence-based medicine, clinical epidemiology and pain. She joined BMC Medical Research Methodology as Section Editor 2018.

BMC Series blog

The importance of negative results for family medicine

12 April 2019
BMC Geriatrics – Highlights of 2018

10 April 2019
Should I, or should I not? The ‘tricky business’ about healthcare decision making

09 April 2019

Latest Tweets

BMC Medical Research Methodology

Featured article: Purposive sampling in a qualitative evidence synthesis

Featured article: Systematic or scoping review?

Articles

An empirical comparison of Bayesian modelling strategies for missing binary outcome data in network meta-analysis

Incorporating individual historical controls and aggregate treatment effect estimates into a Bayesian survival trial: a simulation study

Reliability of routinely collected anthropometric measurements in primary care

Quality in perinatal care: applying performance measurement using joint commission on accreditation of healthcare organizations indicators in Italy

Disentangling the roles of maternal and paternal age on birth prevalence of down syndrome and other chromosomal disorders using a Bayesian modeling approach

Meta-Analyst: software for meta-analysis of binary, continuous and diagnostic data

Using the framework method for the analysis of qualitative data in multi-disciplinary health research

A tutorial on pilot studies: the what, why and how

How to do a grounded theory study: a worked example of a study of dental practices

The case study approach

Aims and scope

Editor

Section Editors

Meet the editors

BMC Series blog

The importance of negative results for family medicine

BMC Geriatrics – Highlights of 2018

Should I, or should I not? The ‘tricky business’ about healthcare decision making

Latest Tweets

Follow

2017 Journal Metrics

BMC Medical Research Methodology

Contact us