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Refinado por: Base de dados/Biblioteca: Medline Complete remover Nome da Publicação: Statistics In Medicine remover
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1
Using simulation studies to evaluate statistical methods
Using simulation studies to evaluate statistical methods
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Using simulation studies to evaluate statistical methods

Morris, Tim P. ; White, Ian R. ; Crowther, Michael J.

Statistics in medicine, 2019-05, Vol.38 (11), p.2074-2102 [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

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2
Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes
Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes
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Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes

Riley, Richard D ; Snell, Kym IE ; Ensor, Joie ; Burke, Danielle L ; Harrell Jr, Frank E ; Moons, Karel GM ; Collins, Gary S

Statistics in medicine, 2019-03, Vol.38 (7), p.1276-1296 [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

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3
Bootstrap inference when using multiple imputation
Bootstrap inference when using multiple imputation
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Bootstrap inference when using multiple imputation

Schomaker, Michael ; Heumann, Christian

Statistics in medicine, 2018-06, Vol.37 (14), p.2252-2266 [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

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4
The Integrated Calibration Index (ICI) and related metrics for quantifying the calibration of logistic regression models
The Integrated Calibration Index (ICI) and related metrics for quantifying the calibration of logistic regression models
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The Integrated Calibration Index (ICI) and related metrics for quantifying the calibration of logistic regression models

Austin, Peter C. ; Steyerberg, Ewout W.

Statistics in medicine, 2019-09, Vol.38 (21), p.4051-4065 [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

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5
Estimating and comparing time-dependent areas under receiver operating characteristic curves for censored event times with competing risks
Estimating and comparing time-dependent areas under receiver operating characteristic curves for censored event times with competing risks
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Estimating and comparing time-dependent areas under receiver operating characteristic curves for censored event times with competing risks

Blanche, Paul ; Dartigues, Jean-François ; Jacqmin-Gadda, Hélène

Statistics in medicine, 2013-12, Vol.32 (30), p.5381-5397 [Periódico revisado por pares]

England: Blackwell Publishing Ltd

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6
STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 1—Basic theory and simple methods of adjustment
STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 1—Basic theory and simple methods of adjustment
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STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 1—Basic theory and simple methods of adjustment

Keogh, Ruth H. ; Shaw, Pamela A. ; Gustafson, Paul ; Carroll, Raymond J. ; Deffner, Veronika ; Dodd, Kevin W. ; Küchenhoff, Helmut ; Tooze, Janet A. ; Wallace, Michael P. ; Kipnis, Victor ; Freedman, Laurence S.

Statistics in medicine, 2020-07, Vol.39 (16), p.2197-2231 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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7
Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome
Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome
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Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome

Greco M, Fabiola Del ; Minelli, Cosetta ; Sheehan, Nuala A ; Thompson, John R

Statistics in medicine, 2015-09, Vol.34 (21), p.2926-2940 [Periódico revisado por pares]

England: Blackwell Publishing Ltd

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8
Evaluation of various estimators for standardized mean difference in meta‐analysis
Evaluation of various estimators for standardized mean difference in meta‐analysis
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Evaluation of various estimators for standardized mean difference in meta‐analysis

Lin, Lifeng ; Aloe, Ariel M.

Statistics in medicine, 2021-01, Vol.40 (2), p.403-426 [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

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9
An extended mixed‐effects framework for meta‐analysis
An extended mixed‐effects framework for meta‐analysis
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An extended mixed‐effects framework for meta‐analysis

Sera, Francesco ; Armstrong, Benedict ; Blangiardo, Marta ; Gasparrini, Antonio

Statistics in medicine, 2019-12, Vol.38 (29), p.5429-5444 [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

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10
Extending the MR‐Egger method for multivariable Mendelian randomization to correct for both measured and unmeasured pleiotropy
Extending the MR‐Egger method for multivariable Mendelian randomization to correct for both measured and unmeasured pleiotropy
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Extending the MR‐Egger method for multivariable Mendelian randomization to correct for both measured and unmeasured pleiotropy

Rees, Jessica M. B. ; Wood, Angela M. ; Burgess, Stephen

Statistics in medicine, 2017-12, Vol.36 (29), p.4705-4718 [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

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