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How much can we learn about missing data?: an exploration o..:

Jackson, Dan ; White, Ian R. ; Leese, Morven
Journal of the Royal Statistical Society. Series A (Statistics in Society). 173 (2010) 3 - p. 593-612 , 2010

Link: https://www.jstor.org/stable/40666277

RT Journal
T1 <Title>How much can we learn about missing data?: an exploration of a clinical trial in psychiatry</Title>

UL https://suche.suub.uni-bremen.de/peid=jstor-40666277&Exemplar=1&LAN=DE
				
A1 Jackson, Dan
A1 White, Ian R.
A1 Leese, Morven
PB Blackwell Publishing
YR 2010
SN 0964-1998
SN 1467-985X
K1 Information science
K1 Information management
K1 Data management
K1 Data types
K1 Missing data
K1 Applied sciences
K1 Research methods
K1 Survey research
K1 Survey responses
K1 Proxy reporting
K1 Business
K1 Business administration
K1 Corporate governance
K1 Proxy fights
K1 Proxy statements
K1 Mathematics
K1 Applied mathematics
K1 Statistics
K1 Applied statistics
K1 Descriptive statistics
K1 Statistical distributions
K1 Normal distribution curve
K1 Standard deviation
K1 Mathematical modeling
K1 Sensitivity analysis
K1 Statistical models
K1 Parametric models
K1 Information analysis
K1 Data analysis
K1 Regression analysis
K1 Logistic regression
K1 Modeling
K1 Health sciences
K1 Medical sciences
K1 Medical research
K1 Clinical research
K1 Clinical trials
K1 Control groups
K1 Analytics
K1 Analytical estimating
JF Journal of the Royal Statistical Society. Series A (Statistics in Society)
VO 173
IS 3
SP 593
OP 612
LK http://dx.doi.org/https://www.jstor.org/stable/40666277
DO https://www.jstor.org/stable/40666277
SF ELIB - SuUB Bremen

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