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. It has an SJR impact factor of 1,996.

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 €

Inmediate OA

NPD

Embargoed 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 by citations

Electronic monitoring device event modelling on an individual-subject basis using adaptive Poisson regression

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The probability of failing in detecting an infectious disease at entry points into a country

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Electronic monitoring of variation in drug intakes can reduce bias and improve precision in pharmacokinetic/pharmacodynamic population studies

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Correction

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Estimating life expectancy and related probabilities in screen-detected breast cancer patients with restricted follow-up information

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Sensitivity analyses for unmeasured confounding assuming a marginal structural model for repeated measures

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Methods for mid-course corrections in clinical trials with survival outcomes

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Authors' reply

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Estimating linear regression models in the presence of a censored independent variable

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Authors' reply

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Letter to the editor: Bias in the evaluation of DNA-amplification tests for detectingChlamydia trachomatis by A. Hadgu,Statistics in Medicine,16, 1391-1399 (1997)

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Growth velocity assessment in paediatric AIDS: smoothing, penalized quantile regression and the definition of growth failure

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SHOW MORE ARTICLES

Discussion of research using propensity-score matching: Comments on 'A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003' by Peter Austin,Statistics in Medicine

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Editorial

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Comparison of Bayesian, classical, and heuristic approaches in identifying acute disease events in lung transplant recipients

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Genetic association studies in Alzheimer's disease research: challenges and opportunities

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Comment on: Confidence limits for the ratio of two rates based on likelihood scores: non-iterative method

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Confidence interval estimates of an index of quality performance based on logistic regression models

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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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Statistics in Medicine moves into online submission

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Comments on 'A critical look at prospective surveillance using a scan statistic' by T. Correa, M. Costa, and R. Assunçao

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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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Binary latent variable modelling and its applicationin the study of air pollution in Hong Kong

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Handbook of Statistical Genetics D. J. Balding, M. Bishop, C. Cannings (eds), Wiley, Chichester, UK, 2001. No. of pages: xix+863. ISBN: 0-471-86094-8

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