Missing data.

Missing data.

Bibliographic Details
Main Authors:	Altman, D, Bland, J
Format:	Journal article
Language:	English
Published:	2007

Similar Items

Missing Data
by: Jungs de Almeida, Alessandra, et al.
Published: (2024)

Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis.
by: Groenwold, R, et al.
Published: (2012)

Missing covariate data in the construction of prognostic models: A review of current approaches
by: Burton, A, et al.
Published: (2003)

Developing a prognostic model in the presence of missing data: an ovarian cancer case study.
by: Clark, T, et al.
Published: (2003)

Missing data: discussion points from the PSI missing data expert group.
by: Burzykowski, T, et al.
Published: (2010)

Missing outcomes in randomized trials: Addressing the dilemma
by: Altman, D
Published: (2009)

Treatment of hydrological missing data : filling the missing gaps /
by: 303926 Tang, Weng Yin, et al.
Published: (1994)

Statistics notes: Correlation in restricted ranges of data
by: Bland, J, et al.
Published: (2011)

Analysis of continuous data from small samples.
by: Bland, J, et al.
Published: (2009)

Parametric v non-parametric methods for data analysis.
by: Altman, D, et al.
Published: (2009)

Parametric v non-parametric methods for data analysis.
by: Altman, D, et al.
Published: (2009)

Parametric v non-parametric methods for data analysis
by: Altman, D, et al.
Published: (2009)

Statistics Notes: Analysis of continuous data from small samples
by: Bland, J, et al.
Published: (2009)

Missing covariate data within cancer prognostic studies: a review of current reporting and proposed guidelines.
by: Burton, A, et al.
Published: (2004)

Statistical analysis with missing data /
by: Little, Roderick J. A. 246975, et al.
Published: (c198)

Statistical analysis with missing data /
by: Little, Roderick J. A. 246975, et al.
Published: (2002)

Statistics notes: missing outcomes in randomised trials.
by: Vickers, A, et al.
Published: (2013)

Development and validation of a prediction model with missing predictor data: a practical approach.
by: Vergouwe, Y, et al.
Published: (2010)

The missing dimensions of poverty data
by: Alkire, S
Published: (2007)

Missing data in clinical studies /
by: 381799 Molenberghs, Geert, et al.
Published: (2007)

Non-random missing data
by: Hausman, Jerry A., et al.
Published: (2011)

Semiparametric theory and missing data /
by: 262493 Tsiatis, Anastasios A.
Published: (2006)

Treatment of hydrological missing data /
by: 251045 Amir Hashim Mohd. Kassim, et al.

Process tracing and the problem of missing data
by: Gonzalez Ocantos, E, et al.
Published: (2019)

Processing of outliers and missing data in multivariate manufacturing data
by: Derksen, Timothy J. (Timothy John)
Published: (2007)

Comparison of techniques for handling missing covariate data within prognostic modelling studies: a simulation study
by: Marshall, A, et al.
Published: (2010)

The Missing “Missing Middle”
by: Hsieh, Chang-Tai, et al.
Published: (2015)

Solar PV forecasting with missing data
by: Peng, Shuyuan
Published: (2021)

Dealing with missing values in proteomics data
by: Kong, Weijia, et al.
Published: (2023)

RSV vaccine use - the missing data
by: Drysdale, S, et al.
Published: (2015)

Data fusion and missing data estimation in road networks
by: Foo, Her Yiow
Published: (2015)

Comparison of imputation methods for handling missing covariate data when fitting a Cox proportional hazards model: a resampling study.
by: Marshall, A, et al.
Published: (2010)

Robust regression imputation for analyzing missing data
by: Rana, Md. Sohel, et al.
Published: (2012)

Can crowdsourcing create the missing crash data?
by: Milusheva, Sveta, et al.
Published: (2022)

Imputation of missing values in breast cancer data
by: Rajagopal, Tejas R.
Published: (2024)

Missing values in a relational data base
by: Reinhard, Nicolau.
Published: (2009)

Intention to treat analysis in clinical trials when there are missing data.
by: Streiner, D, et al.
Published: (2001)

Analysis of multilocus fingerprinting data sets containing missing data
by: Schlueter, P, et al.
Published: (2006)

Phylogenomics of eukaryotes: impact of missing data on large alignments.
by: Philippe, H, et al.
Published: (2004)

Identification of clinically useful cancer prognostic factors: what are we missing?
by: McShane, L, et al.
Published: (2005)