Regression Methods in Biostatistics: Linear, Logistic, Survival and Repeated Measures Models

Regression Methods in Biostatistics: Lin

✍ Goldstein, Richard (author) 📂 Article 📅 2006 🏛 Informa UK Limited 🌐 English ⚖ 139 KB

Regression Methods in Biostatistics: Lin

Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models Edited by Vittinghoff, E., Glidden, D. V., Shiboski, S. C., and Mcculloch, C. E.

✍ Michael Elliott 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 238 KB

Regression Methods in Biostatistics: Lin

Regression Methods in Biostatistics: Linear, Logistic, Survival and Repeated Measures Modelsby Eric Vittinghoff; David V. Glidden; Stephen C. Shiboski; Charles E. McCulloch

✍ Review by: Richard Goldstein 📂 Article 📅 2006 🏛 American Statistical Association 🌐 English ⚖ 521 KB

Regression Methods in Biostatistics: Lin

Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Modelsby Eric Vittinghoff; David V. Glidden; Stephen C. Shiboski; Charles E. Mcculloch

✍ Review by: Robert H. Lyles 📂 Article 📅 2006 🏛 American Statistical Association 🌐 English ⚖ 512 KB

[Statistics for Biology and Health] Regr

[Statistics for Biology and Health] Regression Methods in Biostatistics || Logistic Regression

✍ Vittinghoff, Eric; Glidden, David V.; Shiboski, Stephen C.; McCulloch, Charles E 📂 Article 📅 2012 🏛 Springer US 🌐 English ⚖ 845 KB

This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for long

[Statistics for Biology and Health] Regr

[Statistics for Biology and Health] Regression Methods in Biostatistics || Generalized Linear Models

✍ Vittinghoff, Eric; Glidden, David V.; Shiboski, Stephen C.; McCulloch, Charles E 📂 Article 📅 2012 🏛 Springer US 🌐 English ⚖ 227 KB

This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for long