Default: Statistics in Medicine

ISSN: 0277-6715

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Statistics in Medicine Q1 Unclaimed

John Wiley and Sons Ltd United Kingdom
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Statistics in Medicine is a journal indexed in SJR in Epidemiology and Statistics and Probability with an H index of 183. It has a price of 3417 €. It has an SJR impact factor of 1,996 and it has a best quartile of Q1. It is published in English.

Statistics in Medicine focuses its scope in these topics and keywords: clinical, trials, estimation, bias, data, model, models, continuous, randomised, regression, ...

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy: Open Choice

Type of publications:

Publication frecuency: -

Price

3417 €

Gold OA

-

Green OA

0 €

Non OA

Metrics

Statistics in Medicine

1,996

SJR Impact factor

183

H Index

307

Total Docs (Last Year)

1029

Total Docs (3 years)

11191

Total Refs

2804

Total Cites (3 years)

973

Citable Docs (3 years)

2,24

Cites/Doc (2 years)

36,45

Ref/Doc

Aims and Scope


clinical, trials, estimation, bias, data, model, models, continuous, randomised, regression, structural, exposure, risk, methods, based, phase, inference, multiple, casecontrol, comparative, geneenvironment, information,


Best articles

1. Analysis of Failure and Survival Data. Peter J. Smith, CRC, Boca Raton, U.S.A., 2002. No. of pages: 254. ISBN 1584880759

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1. Statistical Analysis with Missing Data (2nd edn). Roderick J. Little and Donald B. Rubin, John Wiley & Sons, New York, 2002. No. of pages: xv+381. ISBN: 0-471-18386-5

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A Bayesian analysis of the 4-year follow-up data of the Wisconsin epidemiologic study of diabetic retinopathy

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A bias-corrected estimator in multiple imputation for missing data

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A global sensitivity analysis of performance of a medical diagnostic test when verification bias is present

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A log-normal distribution model of the effect of bacteria and ear fenestration on hearing loss: a Bayesian approach

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A Manager's Guide to the Design and Conduct of Clinical Trials. Phillip I. Good(ed.), Wiley, Chichester, U.K., 2002. No. of pages: xiv+ 228. ISBN: 0471226157

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A method for comparing two normal means using combined samples of correlated and uncorrelated data by S. W. Looney and P. W. Jones,Statistics in Medicine 2003;22:1601-1610.

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A note on non-parametric ANCOVA for covariate adjustment in randomized clinical trials

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A regression shrinkage method tailored to qualitative regressors and clustered data

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A semiparametric imputation approach for regression with censored covariate with application to an AMD progression study

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Adaptation to life after surgical removal of the bladder - an application of graphical Markov models for analysing longitudinal data

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SHOW MORE ARTICLES

Adjustment for baseline covariates: an introductory note

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Analysing Italian voluntary abortion data using a Bayesian approach to the time series decomposition

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Analysis of growth curves via mixtures

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ANALYSIS OF SEROLOGICAL SURVEYS USING MIXTURE MODELS: APPLICATION TO A SURVEY OF PARVOVIRUS B19

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Analysis of testicular cancer data using a frailty modelwith familial dependence

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Assessing human fertility using several markers of ovulation

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Assessing the potential for bias in meta-analysis due to selective reporting of subgroup analyses within studies

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Bayesian methods for analysis of binary outcome data in cluster randomized trials on the absolute risk scale

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Bayesian modelling of imperfect ascertainment methods in cancer studies

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