Abrams
2005
Abrams KR, Gillies CL, Lambert PC. Meta-analysis of heterogeneously reported
trials assessing change from baseline. Statistics in Medicine 2005;
24: 3823-3844.
Bauer
1991
Bauer P. Multiple testing in clinical trials. Statistics in Medicine
1991; 10: 871-889.
Bender 2008
Bender R, Bunce C, Clarke M, Gates S, Lange S, Pace NL, Thorlund K. Dealing
with multiplicity in systematic reviews. Journal
of Clinical Epidemiology (in press, 2008).
Bender
2001
Bender R, Lange S. Adjusting for multiple testing - when and how? Journal
of Clinical Epidemiology 2001; 54: 343-349.
Bradburn
2007
Bradburn MJ, Deeks JJ, Berlin JA, Russell LA. Much ado about nothing: a
comparison of the performance of meta-analytical methods with rare events.
Statistics in Medicine 2007; 26: 53-77.
Bucher
1997
Bucher HC, Guyatt GH, Griffith LE, Walter SD. The results of direct and
indirect treatment comparisons in meta- analysis of randomized controlled
trials. Journal of Clinical Epidemiology 1997; 50: 683-691.
Caldwell
2005
Caldwell DM, Ades AE, Higgins JPT. Simultaneous comparison of multiple
treatments: combining direct and indirect evidence. BMJ 2005; 331:
897-900.
Campbell
2000
Campbell M, Grimshaw J, Steen N. Sample size calculations for cluster randomised
trials. Changing Professional Practice in Europe Group (EU BIOMED II Concerted
Action). Journal of Health Services Research and Policy 2000; 5:
12-16.
Chan
2005
Chan AW, Altman DG. Epidemiology and reporting of randomised trials published
in PubMed journals. The Lancet 2005; 365: 1159-1162.
Chen
2005
Chen T, Hoppe FM. Simultaneous confidence intervals. In: Armitage P, Colton
T (editors). Encyclopedia of Biostatistics (2nd edition). Chichester
(UK): John Wiley & Sons, 2005.
Cook
2005
Cook RJ, Dunnett CW. Multiple comparisons. In: Armitage P, Colton T (editors).
Encyclopedia of Biostatistics (2nd edition). Chichester (UK): John
Wiley & Sons, 2005.
CPMP
Working Party on Efficacy of Medicinal Products 1995
CPMP Working Party on Efficacy of Medicinal Products. Biostatistical methodology
in clinical trials in applications for marketing authorizations for medicinal
products. Statistics in Medicine 1995; 14: 1659-1682.
Dmitrienko
2006
Dmitrienko A, Hsu JC. Multiple testing in clinical trials. In: Kotz S,
Balakrishnan N, Read CB, Vidakovic B (editors). Encyclopedia of Statistical
Sciences (2nd edition). Hobojen (NJ): John Wiley & Sons, 2006.
Donner
2000
Donner A, Klar N. Design and Analysis of Cluster Randomization Trials
in Health Research. London (UK): Arnold, 2000.
Donner
2002
Donner A, Klar N. Issues in the meta-analysis of cluster randomized trials.
Statistics in Medicine 2002; 21: 2971-2980.
Donner
1980
Donner A, Koval JJ. The estimation of intraclass correlation in the analysis
of family data. Biometrics 1980; 36: 19-25.
Donner
2001
Donner A, Piaggio G, Villar J. Statistical methods for the meta-analysis
of cluster randomized trials. Statistical Methods in Medical Research
2001; 10: 325-338.
Elbourne
2002
Elbourne DR, Altman DG, Higgins JPT, Curtin F, Worthington HV, Vaillancourt
JM. Meta-analyses involving cross-over trials: methodological issues.
International Journal of Epidemiology 2002; 31: 140-149.
Eldridge
2004
Eldridge SM, Ashby D, Feder GS, Rudnicka AR, Ukoumunne OC. Lessons for
cluster randomized trials in the twenty-first century: a systematic review
of trials in primary care. Clinical Trials 2004; 1: 80-90.
Farrin
2005
Farrin A, Russell I, Torgerson D, Underwood M, UK BEAM Trial Team. Differential
recruitment in a cluster randomized trial in primary care: the experience
of the UK back pain, exercise, active management and manipulation (UK
BEAM) feasibility study. Clinical Trials 2005; 2: 119-124.
Follmann
1992
Follmann D, Elliott P, Suh I, Cutler J. Variance imputation for overviews
of clinical trials with continuous response. Journal of Clinical Epidemiology
1992; 45: 769-773.
Freeman
1989
Freeman PR. The performance of the two-stage analysis of two-treatment,
two-period cross-over trials. Statistics in Medicine 1989; 8: 1421-1432.
Furukawa
2006
Furukawa TA, Barbui C, Cipriani A, Brambilla P, Watanabe N. Imputing missing
standard deviations in meta-analyses can provide accurate results. Journal
of Clinical Epidemiology 2006; 59: 7-10.
Gamble
2005
Gamble C, Hollis S. Uncertainty method improved on best-worst case analysis
in a binary meta-analysis. Journal of Clinical Epidemiology 2005;
58: 579-588.
Glenny
2005
Glenny AM, Altman DG, Sakarovitch C, Deeks JJ, D'Amico R, Bradburn M, Eastwood
AJ. Indirect comparisons of competing interventions. Health Technology
Assessment 2005; 9: 26.
Hahn
2005
Hahn S, Puffer S, Torgerson DJ, Watson J. Methodological bias in cluster
randomised trials. BMC Medical Research Methodology 2005; 5: 10.
Hanley
1983
Hanley JA, Lippman-Hand A. If nothing goes wrong, is everything all right?
Interpreting zero numerators. JAMA 1983; 249: 1743-1745.
Health
Services Research Unit 2004
Health Services Research Unit. Database of ICCs: Spreadsheet (Empirical
estimates of ICCs from changing professional practice studies) [page last
modified 11 Aug 2004]. Available from: http://www.abdn.ac.uk/hsru/epp/cluster.shtml
(accessed 1 January 2008).
Higgins
2002
Higgins JPT, Spiegelhalter DJ. Being sceptical about meta-analyses: a Bayesian
perspective on magnesium trials in myocardial infarction. International
Journal of Epidemiology 2002; 31: 96-104.
Higgins
2008
Higgins JPT, White IR, Wood AM. Imputation methods for missing outcome
data in meta-analysis of clinical trials. Unpublished manuscript, 2008.
Higgins
2001
Higgins JPT, Whitehead A, Turner RM, Omar RZ, Thompson SG. Meta-analysis
of continuous outcome data from individual patients. Statistics in
Medicine 2001; 20: 2219-2241.
Hollis
2002
Hollis S. A graphical sensitivity analysis for clinical trials with non-ignorable
missing binary outcome. Statistics in Medicine 2002; 21: 3823-3834.
Juszczak
2003
Juszczak E, Altman D, Chan AW. A review of the methodology and reporting
of multi-arm, parallel group, randomised clinical trials (RCTs). 3rd Joint
Meeting of the International Society for Clinical Biostatistics and Society
for Clinical Trials, London (UK), 2003.
Khan
1996
Khan KS, Daya S, Collins JA, Walter SD. Empirical evidence of bias in infertility
research: overestimation of treatment effect in crossover trials using
pregnancy as the outcome measure. Fertility and Sterility 1996;
65: 939-945.
Koch
1996
Koch GG, Gansky SA. Statistical considerations for multiplicity in confirmatory
protocols. Drug Information Journal 1996; 30: 523-534.
Lathyris
2007
Lathyris DN, Trikalinos TA, Ioannidis JP. Evidence from crossover trials:
empirical evaluation and comparison against parallel arm trials. International
Journal of Epidemiology 2007; 36: 422-430.
Lee
2005a
Lee LJ, Thompson SG. Clustering by health professional in individually
randomised trials. BMJ 2005; 330: 142-144.
Lee
2005b
Lee SHH. Use of the two-stage procedure for analysis of cross-over trials
in four aspects of medical statistics (PhD thesis). University of
London, 2005.
Lewis
1993
Lewis JA, Machin D. Intention to treat--who should use ITT? British
Journal of Cancer 1993; 68: 647-650.
Little
2004
Little RJA, Rubin DB. Statistical Analysis with Missing Data (2nd
edition). Hoboken (NJ): John Wiley & Sons, 2004.
Lunn
2000
Lunn DJ, Thomas A, Best N, Spiegelhalter D. WinBUGS - a Bayesian modelling
framework: concepts, structure, and extensibility. Statistics and Computing
2000; 10: 325-337.
Marinho
2003
Marinho VCC, Higgins JPT, Logan S, Sheiham A. Fluoride toothpaste for preventing
dental caries in children and adolescents. Cochrane Database of Systematic
Reviews 2003, Issue 1. Art No: CD002278.
McAlister
2003
McAlister FA, Straus SE, Sackett DL, Altman DG. Analysis and reporting
of factorial trials: a systematic review. JAMA 2003; 289: 2545-2553.
Mills
2005
Mills EJ, Chan AW, Guyatt GH, Altman DG. Design, analysis, and presentation
of cross-over trials. 5th Peer Review Congress, Chicago (IL), 2005.
Murray
1995
Murray DM, Short B. Intraclass correlation among measures related to alcohol-use
by young-adults - estimates, correlates and applications in intervention
studies. Journal of Studies on Alcohol 1995; 56: 681-694.
Newcombe
2000
Newcombe RN, Altman DG. Proportions and their differences. In: Altman DG,
Machin D, Bryant TN, Gardner MJ (editors). Statistics with Confidence
(2nd edition). London (UK): BMJ Books, 2000.
Newell
1992
Newell DJ. Intention-to-treat analysis: implications for quantitative and
qualitative research. International Journal of Epidemiology 1992;
21: 837-841.
Ottenbacher
1998
Ottenbacher KJ. Quantitative evaluation of multiplicity in epidemiology
and public health research. American Journal of Epidemiology 1998;
147: 615-619.
Puffer
2003
Puffer S, Torgerson D, Watson J. Evidence for risk of bias in cluster randomised
trials: review of recent trials published in three general medical journals.
BMJ 2003; 327: 785-789.
Qizilbash
1998
Qizilbash N, Whitehead A, Higgins J, Wilcock G, Schneider L, Farlow M.
Cholinesterase inhibition for Alzheimer disease: a meta-analysis of the
tacrine trials. JAMA 1998; 280: 1777-1782.
Rao
1992
Rao JNK, Scott AJ. A simple method for the analysis of clustered binary
data. Biometrics 1992; 48: 577-585.
Salanti
2007
Salanti G, Higgins J, Ades AE, Ioannidis JP. Evaluation of networks of
randomized trials. Statistical Methods in Medical Research 2007:
Published online 9 October 2007.
Senn
2002
Senn S. Cross-over Trials in Clinical Research (2nd edition). Chichester
(UK): John Wiley & Sons, 2002.
Smith
1995
Smith TC, Spiegelhalter DJ, Thomas A. Bayesian approaches to random-effects
meta-analysis: A comparative study. Statistics in Medicine 1995;
14: 2685-2699.
Song
2003
Song F, Altman DG, Glenny AM, Deeks JJ. Validity of indirect comparison
for estimating efficacy of competing interventions: empirical evidence
from published meta-analyses. BMJ 2003; 325: 472-475.
Spiegelhalter
2004
Spiegelhalter DJ, Abrams KR, Myles JP. Bayesian Approaches to Clinical
Trials and Health-Care Evaluation. Chichester (UK): John Wiley &
Sons, 2004.
Stewart
1995
Stewart LA, Clarke MJ. Practical methodology of meta-analyses (overviews)
using updated individual patient data. Statistics in Medicine 1995;
14: 2057-2079.
Sutton
2001
Sutton AJ, Abrams KR. Bayesian methods in meta-analysis and evidence synthesis.
Statistical Methods in Medical Research 2001; 10: 277-303.
Sutton
2000
Sutton AJ, Abrams KR, Jones DR, Sheldon TA, Song F. Methods for Meta-analysis
in Medical Research. Chichester (UK): John Wiley & Sons, 2000.
Sweeting
2004
Sweeting MJ, Sutton AJ, Lambert PC. What to add to nothing? Use and avoidance
of continuity corrections in meta-analysis of sparse data. Statistics
in Medicine 2004; 23: 1351-1375.
te
Velde 1998
te Velde ER, Cohlen BJ, Looman CW, Habbema JD. Crossover designs versus
parallel studies in infertility research. Fertility and Sterility
1998; 69: 357-358.
Thompson
2001
Thompson SG, Turner RM, Warn DE. Multilevel models for meta-analysis, and
their application to absolute risk differences. Statistical Methods
in Medical Research 2001; 10: 375-392.
Turner
2000
Turner RM, Omar RZ, Yang M, Goldstein H, Thompson SG. A multilevel model
framework for meta-analysis of clinical trials with binary outcomes. Statistics
in Medicine 2000; 19: 3417-3432.
Ukoumunne
1999
Ukoumunne OC, Gulliford MC, Chinn S, Sterne JA, Burney PG. Methods for
evaluating area-wide and organisation-based interventions in health and
health care: a systematic review. Health Technology Assessment
1999; 3: 5.
Unnebrink
2001
Unnebrink K, Windeler J. Intention-to-treat: methods for dealing with missing
values in clinical trials of progressively deteriorating diseases. Statistics
in Medicine 2001; 20: 3931-3946.
White
2007
White IR, Carpenter J, Evans S, Schroter S. Eliciting and using expert
opinions about dropout bias in randomized controlled trials. Clinical
Trials 2007; 4: 125-139.
White
2008a
White IR, Higgins JPT, Wood A. Allowing for uncertainty due to missing
data in meta-analysis. Part 1: Two-stage methods. Statistics in Medicine
2008; 27: 711-727.
White
2005
White IR, Thomas J. Standardized mean differences in individually-randomized
and cluster-randomized trials, with applications to meta-analysis. Clinical
Trials 2005; 2: 141-151.
White
2008b
White IR, Welton N, Wood A, Ades AE, Higgins JPT. Allowing for uncertainty
due to missing data in meta-analysis. Part 2: Hierarchical models. Statistics
in Medicine 2008; 27: 728-745.
Whiting-O'Keefe
1984
Whiting-O'Keefe QE, Henke C, Simborg DW. Choosing the correct unit of analysis
in medical care experiments. Medical Care 1984; 22: 1101-1114.