Incoming Resources
- Advances in Complex Data Modeling and Computational Methods in Statistics, edited by Anna Maria Paganoni, Piercesare Secchi
- Statistics for Health Data Science, An Organic Approach, by Ruth Etzioni, Micha Mandel, Roman Gulati
- The Cox Model and Its Applications, by Mikhail Nikulin, Hong-Dar Isaac Wu
- Quantitative Decisions in Drug Development, by Christy Chuang-Stein, Simon Kirby
- Bootstrap Methods, With Applications in R, by Gerhard Dikta, Marsel Scheer
- Statistical Causal Inferences and Their Applications in Public Health Research, edited by Hua He, Pan Wu, Ding-Geng (Din) Chen
- Statistical Analysis with Measurement Error or Misclassification, Strategy, Method and Application, by Grace Y. Yi
- An Introduction to Statistics with Python, With Applications in the Life Sciences, by Thomas Haslwanter
- Statistics in Clinical and Observational Vaccine Studies, by Jozef Nauta
- Identifiability and Regression Analysis of Biological Systems Models, Statistical and Mathematical Foundations and R Scripts, by Paola Lecca
- Shrinkage Estimation for Mean and Covariance Matrices, by Hisayuki Tsukuma, Tatsuya Kubokawa
- Biopharmaceutical Applied Statistics Symposium, Volume 1 Design of Clinical Trials, edited by Karl E. Peace, Ding-Geng Chen, Sandeep Menon
- Spatial Relationships Between Two Georeferenced Variables, With Applications in R, by Ronny Vallejos, Felipe Osorio, Moreno Bevilacqua
- Methods and Applications of Sample Size Calculation and Recalculation in Clinical Trials, by Meinhard Kieser
- Excel 2013 for Biological and Life Sciences Statistics, A Guide to Solving Practical Problems, by Thomas J Quirk, Meghan Quirk, Howard F Horton
- Capture-Recapture: Parameter Estimation for Open Animal Populations, by George A. F. Seber, Matthew R. Schofield
- Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics, Selected Papers from the 2015 ICSA/Graybill Applied Statistics Symposium, Colorado State University, Fort Collins, edited by Jianchang Lin, Bushi Wang, Xiaowen Hu, Kun Chen, Ray Liu
- Analysis of Survival Data with Dependent Censoring, Copula-Based Approaches, by Takeshi Emura, Yi-Hau Chen
- Meta-Analysis with R, by Guido Schwarzer, James R. Carpenter, Gerta Rücker
- Quantitative Decisions in Drug Development, by Christy Chuang-Stein, Simon Kirby
- Statistical Methods in Biomarker and Early Clinical Development, edited by Liang Fang, Cheng Su
- New Theory of Discriminant Analysis After R. Fisher, Advanced Research by the Feature Selection Method for Microarray Data, by Shuichi Shinmura
- Nonparametric Statistics, 2nd ISNPS, Cádiz, June 2014, edited by Ricardo Cao, Wenceslao González Manteiga, Juan Romo
- Excel 2016 for Biological and Life Sciences Statistics, A Guide to Solving Practical Problems, by Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
- Advances in Compositional Data Analysis, Festschrift in Honour of Vera Pawlowsky-Glahn, edited by Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, Javier Palarea-Albaladejo
- Excel 2019 for Biological and Life Sciences Statistics, A Guide to Solving Practical Problems, by Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
- Group Sequential and Confirmatory Adaptive Designs in Clinical Trials, by Gernot Wassmer, Werner Brannath
- Statistical Remedies for Medical Researchers, by Peter F. Thall
- Singular Spectrum Analysis for Time Series, by Nina Golyandina, Anatoly Zhigljavsky
- Sample Size Determination in Clinical Trials with Multiple Endpoints, by Takashi Sozu, Tomoyuki Sugimoto, Toshimitsu Hamasaki, Scott R. Evans
- Introduction to Nonparametric Statistics for the Biological Sciences Using R, by Thomas W. MacFarland, Jan M. Yates
- Data Science, Learning by Latent Structures, and Knowledge Discovery, edited by Berthold Lausen, Sabine Krolak-Schwerdt, Matthias Böhmer
- Trends in Biomathematics: Modeling, Optimization and Computational Problems, Selected works from the BIOMAT Consortium Lectures, Moscow 2017, edited by Rubem P. Mondaini
- Analysis of Data from Randomized Controlled Trials, A Practical Guide, by Jos W.R. Twisk
- Meta-Analysis, Methods for Health and Experimental Studies, by Shahjahan Khan
- Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry, edited by Susmita Datta, Bart J. A. Mertens
- Philosophical and Methodological Debates in Public Health, edited by Jordi Vallverdú, Angel Puyol, Anna Estany
- Practical Considerations for Adaptive Trial Design and Implementation, edited by Weili He, José Pinheiro, Olga M. Kuznetsova
- Health and Lifestyle, Separating the Truth from the Myth with Statistics, by Brian S. Everitt
- Particle emission concept and probabilistic consideration of the development of infections in systems, Dynamics from logarithm and exponent in the infection process, percolation effects, by Marcus Hellwig
- Analysis of Large and Complex Data, edited by Adalbert F.X. Wilhelm, Hans A. Kestler
- An Introduction to Clustering with R, by Paolo Giordani, Maria Brigida Ferraro, Francesca Martella
- Applied Multivariate Statistics with R, by Daniel Zelterman
- Model Choice in Nonnested Families, by Basilio de Bragança Pereira, Carlos Alberto de Bragança Pereira
- Statistical Modeling for Biological Systems, In Memory of Andrei Yakovlev, edited by Anthony Almudevar, David Oakes, Jack Hall
- A Course in Mathematical Statistics and Large Sample Theory, by Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru
- Monte-Carlo Simulation-Based Statistical Modeling, edited by Ding-Geng (Din) Chen, John Dean Chen
- Big and Complex Data Analysis, Methodologies and Applications, edited by S. Ejaz Ahmed
- Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates, by Jeffrey R. Wilson, Elsa Vazquez-Arreola, (Din) Ding-Geng Chen
- Recent Advances in Robust Statistics: Theory and Applications, edited by Claudio Agostinelli, Ayanendranath Basu, Peter Filzmoser, Diganta Mukherjee