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Books > Medicine > Other branches of medicine > Psychiatry
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Statistical Methods in Psychiatry and Related Fields - Longitudinal, Clustered, and Other Repeated Measures Data (Hardcover)
Loot Price: R3,027
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Statistical Methods in Psychiatry and Related Fields - Longitudinal, Clustered, and Other Repeated Measures Data (Hardcover)
Series: Chapman & Hall/CRC Interdisciplinary Statistics
Expected to ship within 12 - 17 working days
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Data collected in psychiatry and related fields are complex because
outcomes are rarely directly observed, there are multiple
correlated repeated measures within individuals, there is natural
heterogeneity in treatment responses and in other characteristics
in the populations. Simple statistical methods do not work well
with such data. More advanced statistical methods capture the data
complexity better, but are difficult to apply appropriately and
correctly by investigators who do not have advanced training in
statistics. This book presents, at a non-technical level, several
approaches for the analysis of correlated data: mixed models for
continuous and categorical outcomes, nonparametric methods for
repeated measures and growth mixture models for heterogeneous
trajectories over time. Separate chapters are devoted to techniques
for multiple comparison correction, analysis in the presence of
missing data, adjustment for covariates, assessment of mediator and
moderator effects, study design and sample size considerations. The
focus is on the assumptions of each method, applicability and
interpretation rather than on technical details. Features Provides
an overview of intermediate to advanced statistical methods applied
to psychiatry. Takes a non-technical approach with mathematical
details kept to a minimum. Includes lots of detailed examples from
published studies in psychiatry and related fields. Software
programs, data sets and output are available on a supplementary
website. The intended audience are applied researchers with minimal
knowledge of statistics, although the book could also benefit
collaborating statisticians. The book, together with the online
materials, is a valuable resource aimed at promoting the use of
appropriate statistical methods for the analysis of repeated
measures data. Ralitza Gueorguieva is a Senior Research Scientist
at the Department of Biostatistics, Yale School of Public Health.
She has more than 20 years experience in statistical methodology
development and collaborations with psychiatrists and other
researchers, and is the author of over 130 peer-reviewed
publications.
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