Medicine - Research - Statistical methods.

Biostatistical methods : = the assessment of relative risks / by: (Language materials, printed)

Logistic regression : = a self-learning text / by: (Language materials, printed)

Introductory medical statistics / by: (Language materials, printed)

Advanced medical statistics by: (Language materials, printed)

SAS survival analysis techniques for medical research by: (Language materials, printed)

Common statistical methods for clinical research with SAS examples by: (Language materials, printed)

Regression Methods in Biostatistics = Linear, Logistic, Survival, and Repeated Measures Models / by: (Language materials, printed)

Clinical prediction models = a practical approach to development, validation, and updating / by: (Language materials, printed)

The biostatistics cookbook = the most user-friendly guide for the bio/medical scientist / by: (Language materials, printed)

Logistic regression = a self-learning text / by: (Language materials, printed)

Survival analysis for epidemiologic and medical research by: (Electronic resources)

Computational methods in biomedical research by: (Electronic resources)

Statistical methods in diagnostic medicine / by: (Language materials, printed)

Applied survival analysis = regression modeling of time-to-event data / by: (Electronic resources)

Medical statistics and computer experiments by: (Electronic resources)

Rasch models in health by: (Electronic resources)

How to design, analyse and report cluster randomised trials in medicine and health related research by: (Electronic resources)

Regression models as a tool in medical research / by: (Language materials, printed)

Survival analysis in medicine and genetics / by: (Language materials, printed)

Advanced medical statistics by: (Electronic resources)

Adaptive regression for modeling nonlinear relationships by: (Electronic resources)

Methods in comparative effectiveness research / by: (Language materials, printed)

Regression analysis in medical research = for starters and 2nd levelers / by: (Electronic resources)

Power analysis for experimental research : = a practical guide for the biological, medical, and social sciences / by: (Language materials, printed)

Biomarker analysis in clinical trials with R by: (Electronic resources)

Design of experiments and advanced statistical techniques in clinical research by: (Electronic resources)

Bayesian biostatistics and diagnostic medicine by: (Electronic resources)

Statistical remedies for medical researchers by: (Electronic resources)

Statistics as a resource in medical research / by: (Language materials, printed)

Biostatistics : = how it works / by: (Language materials, printed)

Regression methods in biostatistics : = linear, logistic, survival, and repeated measures models / by: (Language materials, printed)

Screening : = methods for experimentation in industry, drug discovery, and genetics / by: (Language materials, printed)

Statistical advances in the biomedical sciences : = clinical trials, epidemiology, survival analysis, and bioinformatics / by: (Language materials, printed)

An introduction to Stata for health researchers / by: (Language materials, printed)

Translational medicine = strategies and statistical methods / by: (Electronic resources)

Multiple imputation and its application by: (Electronic resources)

Statistical methods for survival data analysis / by: (Language materials, printed)

Statistical testing strategies in the health sciences / by: (Language materials, printed)