Advances in Statistical Methods for the Health Sciences: Applications to Cancer and AIDS Studies, Genome Sequence Analysis, and Survival Analysis

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Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences, including epidemiology, pharmacovigilance, quality of life, survival analysis, and genomics.

The book will serve the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.

 

Author(s): Jean-Louis Auget, N. Balakrishnan, Mounir Mesbah, Geert Molenberghs
Series: Statistics for Industry and Technology
Edition: 1
Publisher: Birkhäuser Boston
Year: 2006

Language: English
Pages: 561

Cover
......Page 1
Contents
......Page 6
Preface
......Page 20
Contributors
......Page 22
List of tables
......Page 30
List of figures
......Page 36
I. Prognostic studies and general epidemiology
......Page 43
1. Systematic review of multiple studies of prognosis: the feasibility of obtaining individual patient data
......Page 44
2. On statistical approaches for the multivariable analysis of prognostic marker studies
......Page 60
3. Where next for evidence synthesis of prognostic marker studies? Improving the quality and reporting of primary studies to facilitate clinically relevant evidence-based results
......Page 80
II. Pharmacovigilance
......Page 100
4. Sentinel event methods for monitoring unanticipated adverse events
......Page 101
5. Spontaneous reporting system modelling for the evaluation of automatic signal generation methods in pharmacovigilance
......Page 115
III. Quality of life
......Page 133
6. Latent covariates in generalized linear models: a Rasch model approach
......Page 134
7. Sequential analysis of quality of life measurements with the mixed partial credit model
......Page 148
8. A parametric degradation model used in reliability, survival analysis, and quality of life
......Page 165
9. Agreement between two ratings with different ordinal scales
......Page 177
IV. Survival analysis
......Page 187
10. The role of correlated frailty models in studies of human health, ageing, and lon
gevity......Page 188
11. Prognostic factors and prediction of residual survival for hospitalized elderly patients
......Page 204
12. New models and methods for survival analysis of experimental data
......Page 216
13. Uniform consistency for conditional lifetime distribution estimators under random right-censorship
......Page 232
14. Sequential estimation for the semiparametric additive hazard model
......Page 247
15. Variance estimation of a survival function with doubly censored failure time data
......Page 260
V. Clustering
......Page 271
16. Statistical models and artificial neural networks: supervised classification and prediction via soft trees
......Page 272
17. Multilevel clustering for large databases
......Page 295
18. Neural networks: an application for predicting smear negative pulmonary tuberculosis
......Page 307
19. Assessing drug resistance in HIV infection using viral load using segmented regression
......Page 320
20. Assessment of treatment effects on HIV pathogenesis under treatment by state space models
......Page 336
VI. Safety and efficacy assessment
......Page 351
21. Safety assessment versus efficacy assessment
......Page 352
22. Cancer clinical trials with efficacy and toxicity endpoints: a simulation study to compare two nonparametric methods
......Page 364
23. Safety assessment in pilot studies when zero events are observed
......Page 378
VII. Clinical designs
......Page 388
24. An assessment of up-and-down designs and associated estimators in phase I trials
......Page 389
25. Design of multicentre clinical trials with random enrolment
......Page 415
26. Statistical methods for combining clinical trial phases II and III
......Page 429
27. SCPRT: a sequential procedure that gives another reason to stop clinical trials early
......Page 446
VIII. Model for the environment
......Page 462
28. Seasonality assessment for biosurveillance systems
......Page 463
29. Comparison of three convolution prior spatial models for cancer incidence
......Page 477
30. Longitudinal analysis of short-term bronchiolitis air pollution association using semiparametric models
......Page 493
IX. Genomic analysis
......Page 514
31. Are there correlated genomic substitutions?
......Page 515
X. Animal health
......Page 540
32. Swiss Federal Veterinary Office risk assessments: advantages and limitations of the qualitative method
......Page 541
33. Qualitative risk analysis in animal health: a methodological example
......Page 549
Index
......Page 560